Data & Publications

Change Hawaiʻi Project Data & Software

HCDP History & Background

The Hawaiʻi Climate Data Portal (HCDP) is the result of over a decade of collaborative research and technical innovation. It officially launched on March 3, 2022, following extensive development supported by the NSF EPSCoR Track-1 ʻIke Wai project. Today, the portal continues to grow through the sustained support of the NSF EPSCoR Track-1 Change HI project, ensuring it remains a cutting-edge resource for the Pacific.

Since its inception, the HCDP has become a vital hub for researchers, policymakers, and the public. In its inaugural year alone, the portal saw significant global engagement:

+
Total Visits from 119 countries
Unique Visitors within the first 12 months
M+
Files accessed by growing community over 45,000 unique users to date

Expanding the Network

A cornerstone of the HCDP’s evolution is the integration of the NSF Hawaiʻi Mesonet project. This initiative is currently expanding the state’s observational backbone by establishing 100 new climate stations across the islands. This infrastructure provides high-resolution, real-time data that was previously unavailable. Following this successful model, expansion efforts are underway in American Samoa, with further plans to seek funding for a similar mesonet in Guam.

The Future of Climate Monitoring

As the HCDP matures, its capabilities continue to expand beyond rainfall and temperature. Development is currently focused on:

  • Accessibility: Translating complex climate data into plain-language reports to better serve Hawaiʻi’s diverse communities.
  • Advanced Mapping: Introducing hourly wind speed and solar radiation data.
  • Decision Support: Creating specialized tools for wildfire risk assessment and drought forecasting.

Publications

Researchers have published and presented many articles and abstracts related to the research done throughout the Change HI project. Below is a list of project publications.

2570907 F3TA2FVL 1 apa 50 default 1 2199 https://hawaii.edu/epscor/wp-content/plugins/zotpress/
%7B%22status%22%3A%22success%22%2C%22updateneeded%22%3Afalse%2C%22instance%22%3Afalse%2C%22meta%22%3A%7B%22request_last%22%3A0%2C%22request_next%22%3A0%2C%22used_cache%22%3Atrue%7D%2C%22data%22%3A%5B%7B%22key%22%3A%227IVUSPJ8%22%2C%22library%22%3A%7B%22id%22%3A2570907%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Lee%20et%20al.%22%2C%22parsedDate%22%3A%222024%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%26gt%3BLee%2C%20C.%20J.%2C%20Tran%2C%20G.%2C%20Tabalba%2C%20R.%2C%20Leigh%2C%20J.%2C%20%26amp%3B%20Longman%2C%20R.%20%282024%29.%20%26lt%3Bi%26gt%3BMacro-Queries%3A%20An%20Exploration%20into%20Guided%20Chart%20Generation%20from%20High%20Level%20Prompts%26lt%3B%5C%2Fi%26gt%3B.%20arXiv.%20https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.48550%5C%2FARXIV.2408.12726%20%26lt%3Ba%20title%3D%26%23039%3BCite%20in%20RIS%20Format%26%23039%3B%20class%3D%26%23039%3Bzp-CiteRIS%26%23039%3B%20data-zp-cite%3D%26%23039%3Bapi_user_id%3D2570907%26amp%3Bitem_key%3D7IVUSPJ8%26%23039%3B%20href%3D%26%23039%3Bjavascript%3Avoid%280%29%3B%26%23039%3B%26gt%3BCite%26lt%3B%5C%2Fa%26gt%3B%20%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22document%22%2C%22title%22%3A%22Macro-Queries%3A%20An%20Exploration%20into%20Guided%20Chart%20Generation%20from%20High%20Level%20Prompts%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Christopher%20J.%22%2C%22lastName%22%3A%22Lee%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Giorgio%22%2C%22lastName%22%3A%22Tran%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Roderick%22%2C%22lastName%22%3A%22Tabalba%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Jason%22%2C%22lastName%22%3A%22Leigh%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Ryan%22%2C%22lastName%22%3A%22Longman%22%7D%5D%2C%22abstractNote%22%3A%22This%20paper%20explores%20the%20intersection%20of%20data%20visualization%20and%20Large%20Language%20Models%20%28LLMs%29.%20Driven%20by%20the%20need%20to%20make%20a%20broader%20range%20of%20data%20visualization%20types%20accessible%20for%20novice%20users%2C%20we%20present%20a%20guided%20LLM-based%20pipeline%20designed%20to%20transform%20data%2C%20guided%20by%20high-level%20user%20questions%20%28referred%20to%20as%20macro-queries%29%2C%20into%20a%20diverse%20set%20of%20useful%20visualizations.%20This%20approach%20leverages%20various%20prompting%20techniques%2C%20fine-tuning%20inspired%20by%20Abela%26%23039%3Bs%20Chart%20Taxonomy%2C%20and%20integrated%20SQL%20tool%20usage.%22%2C%22type%22%3A%22%22%2C%22date%22%3A%222024%22%2C%22DOI%22%3A%22%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Farxiv.org%5C%2Fabs%5C%2F2408.12726%22%2C%22language%22%3A%22%22%2C%22collections%22%3A%5B%22F3TA2FVL%22%5D%2C%22dateModified%22%3A%222025-03-18T23%3A59%3A33Z%22%7D%7D%2C%7B%22key%22%3A%22F35MFNFY%22%2C%22library%22%3A%7B%22id%22%3A2570907%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Rosam%20et%20al.%22%2C%22parsedDate%22%3A%222024-11%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%26gt%3BRosam%2C%20J.%20R.%2C%20Warman%2C%20L.%2C%20Ostertag%2C%20R.%2C%20Perroy%2C%20R.%2C%20%26amp%3B%20Cordell%2C%20S.%20%282024%29.%20Light%20quality%20and%20spatial%20variability%20influences%20on%20seedling%20regeneration%20in%20Hawaiian%20lowland%20wet%20forests.%20%26lt%3Bi%26gt%3BJournal%20of%20Applied%20Ecology%26lt%3B%5C%2Fi%26gt%3B%2C%20%26lt%3Bi%26gt%3B61%26lt%3B%5C%2Fi%26gt%3B%2811%29%2C%202638%26%23x2013%3B2652.%20%26lt%3Ba%20class%3D%26%23039%3Bzp-DOIURL%26%23039%3B%20href%3D%26%23039%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1111%5C%2F1365-2664.14775%26%23039%3B%26gt%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1111%5C%2F1365-2664.14775%26lt%3B%5C%2Fa%26gt%3B%20%26lt%3Ba%20title%3D%26%23039%3BCite%20in%20RIS%20Format%26%23039%3B%20class%3D%26%23039%3Bzp-CiteRIS%26%23039%3B%20data-zp-cite%3D%26%23039%3Bapi_user_id%3D2570907%26amp%3Bitem_key%3DF35MFNFY%26%23039%3B%20href%3D%26%23039%3Bjavascript%3Avoid%280%29%3B%26%23039%3B%26gt%3BCite%26lt%3B%5C%2Fa%26gt%3B%20%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Light%20quality%20and%20spatial%20variability%20influences%20on%20seedling%20regeneration%20in%20Hawaiian%20lowland%20wet%20forests%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Jodie%20R.%22%2C%22lastName%22%3A%22Rosam%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Laura%22%2C%22lastName%22%3A%22Warman%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Rebecca%22%2C%22lastName%22%3A%22Ostertag%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Ryan%22%2C%22lastName%22%3A%22Perroy%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Susan%22%2C%22lastName%22%3A%22Cordell%22%7D%5D%2C%22abstractNote%22%3A%22Abstract%20Tropical%20forest%20understories%20tend%20to%20be%20light%5Cu2010limited.%20The%20red%5Cu2010to%5Cu2010far%5Cu2010red%20ratio%20%28R%3AFR%29%20is%20a%20useful%20and%20reliable%20index%20of%20light%20quality%20and%20its%20spatial%20variability%20can%20influence%20competition%20between%20native%20and%20non%5Cu2010native%20seedlings.%20While%20per%20cent%20light%20transmittance%20has%20been%20quantified%20in%20some%20Hawaiian%20lowland%20wet%20forests%20%28HLWF%29%2C%20no%20information%20exists%20on%20how%20the%20spatial%20distribution%20of%20understorey%20light%20varies%20in%20relation%20to%20species%20invasion%2C%20or%20if%20patterns%20of%20seedling%20regeneration%20and%20light%20are%20linked.%20We%20measured%20the%20R%3AFR%20of%20light%20in%20the%20understorey%20to%20assess%20light%20quality%20in%20three%20HLWF%20forest%20types%3A%20native%5Cu2010dominated%2C%20partially%20invaded%20and%20Psidium%20cattleyanum%5Cu2010%20%28strawberry%20guava%29%20dominated%20to%20quantify%20light%20quality%20in%20the%20understorey%20%280%5Cu201350%20cm%20height%29.%20We%20also%20identified%20relationships%20between%20light%20quality%20and%20native%20and%20non%5Cu2010native%20seedling%20presence%2C%20diversity%20and%20abundance.%20Together%2C%20these%20data%20can%20help%20to%20determine%20the%20restoration%20potential%20of%20HLWF.%20Linear%20mixed%5Cu2010effect%20modelling%20showed%20that%20native%5Cu2010dominated%20forests%20had%20significantly%20greater%20R%3AFR%20than%20P.%20cattleyanum%20%5Cu2010dominated%20forests%2C%20demonstrating%20a%20transformation%20in%20the%20light%20environment%20with%20increased%20invasion.%20Heterogeneity%20in%20R%3AFR%20varied%20more%20across%20sites%20than%20among%20forest%20types.%20In%20both%20native%5Cu2010dominated%20and%20partially%20invaded%20forests%2C%20there%20were%20more%20native%20seedlings%20in%20the%20low%5Cu2010quality%20R%3AFR%20%280.0%5Cu20130.40%29%20category%20and%20fewer%20in%20the%20medium%5Cu2010%20%280.41%5Cu20130.70%29%2C%20and%20high%5Cu2010quality%20%28%5Cu22650.71%29%20light%20categories%20than%20would%20be%20expected%20by%20chance%2C%20and%20there%20were%20no%20native%20seedlings%20in%20the%20P.%20cattleyanum%20%5Cu2010dominated%20forests.%20Native%5Cu2010dominated%20forests%20had%20greater%20species%20richness%20and%20abundance%20of%20native%20seedlings%20than%20the%20partially%20invaded%20forests%2C%20likely%20due%20to%20propagule%20availability.%20However%2C%20the%20spatial%20clustering%20of%20seedlings%2C%20the%20mismatch%20of%20native%20seedlings%20in%20light%20environments%20less%20suitable%2C%20and%20a%20considerable%20proportion%20of%20open%20high%5Cu2010quality%20microsites%2C%20highlights%20that%20conditions%20are%20not%20optimal%20for%20native%20species%20in%20HLWF%20in%20the%20long%20term.%20Synthesis%20and%20applications.%20The%20native%5Cu2010dominated%20and%20partially%20invaded%20forests%20still%20hold%20conservation%20value%2C%20despite%20variation%20among%20sites.%20Seedling%20additions%20could%20be%20targeted%20to%20different%20R%3AFR%20environments%20and%20at%20different%20spatial%20scales%2C%20but%20the%20lack%20of%20a%20strong%20relationship%20between%20R%3AFR%20and%20seedling%20number%20suggests%20that%20other%20factors%20besides%20light%20quality%20should%20be%20considered%20in%20seedling%20enrichment%20or%20other%20management%20activities.%22%2C%22date%22%3A%222024-11%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.1111%5C%2F1365-2664.14775%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fbesjournals.onlinelibrary.wiley.com%5C%2Fdoi%5C%2F10.1111%5C%2F1365-2664.14775%22%2C%22PMID%22%3A%22%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%220021-8901%2C%201365-2664%22%2C%22language%22%3A%22en%22%2C%22collections%22%3A%5B%22F3TA2FVL%22%5D%2C%22dateModified%22%3A%222025-03-18T23%3A59%3A33Z%22%7D%7D%2C%7B%22key%22%3A%22MKG3SKD8%22%2C%22library%22%3A%7B%22id%22%3A2570907%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Westerband%20and%20Barton%22%2C%22parsedDate%22%3A%222025%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%26gt%3BWesterband%2C%20A.%20C.%2C%20%26amp%3B%20Barton%2C%20K.%20E.%20%282025%29.%20Investigating%20the%20origins%20and%20effects%20of%20intraspecific%20trait%20variation.%20In%20%26lt%3Bi%26gt%3BPlant%20Functional%20Traits%26lt%3B%5C%2Fi%26gt%3B%20%28pp.%20205%26%23x2013%3B238%29.%20Elsevier.%20https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1016%5C%2FB978-0-443-13367-1.00010-7%20%26lt%3Ba%20title%3D%26%23039%3BCite%20in%20RIS%20Format%26%23039%3B%20class%3D%26%23039%3Bzp-CiteRIS%26%23039%3B%20data-zp-cite%3D%26%23039%3Bapi_user_id%3D2570907%26amp%3Bitem_key%3DMKG3SKD8%26%23039%3B%20href%3D%26%23039%3Bjavascript%3Avoid%280%29%3B%26%23039%3B%26gt%3BCite%26lt%3B%5C%2Fa%26gt%3B%20%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22bookSection%22%2C%22title%22%3A%22Investigating%20the%20origins%20and%20effects%20of%20intraspecific%20trait%20variation%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Andrea%20C.%22%2C%22lastName%22%3A%22Westerband%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22K.E.%22%2C%22lastName%22%3A%22Barton%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22bookTitle%22%3A%22Plant%20Functional%20Traits%22%2C%22date%22%3A%222025%22%2C%22originalDate%22%3A%22%22%2C%22originalPublisher%22%3A%22%22%2C%22originalPlace%22%3A%22%22%2C%22format%22%3A%22%22%2C%22ISBN%22%3A%22978-0-443-13367-1%22%2C%22DOI%22%3A%22%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Flinkinghub.elsevier.com%5C%2Fretrieve%5C%2Fpii%5C%2FB9780443133671000107%22%2C%22ISSN%22%3A%22%22%2C%22language%22%3A%22en%22%2C%22collections%22%3A%5B%22F3TA2FVL%22%5D%2C%22dateModified%22%3A%222025-03-18T23%3A59%3A33Z%22%7D%7D%2C%7B%22key%22%3A%22QMI8TZQC%22%2C%22library%22%3A%7B%22id%22%3A2570907%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Tabalba%20et%20al.%22%2C%22parsedDate%22%3A%222024%22%2C%22numChildren%22%3A2%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%26gt%3BTabalba%2C%20R.%2C%20Lee%2C%20C.%20J.%2C%20Tran%2C%20G.%2C%20Kirshenbaum%2C%20N.%2C%20%26amp%3B%20Leigh%2C%20J.%20%282024%29.%20%26lt%3Bi%26gt%3BArticulatePro%3A%20A%20Comparative%20Study%20on%20a%20Proactive%20and%20Non-Proactive%20Assistant%20in%20a%20Climate%20Data%20Exploration%20Task%26lt%3B%5C%2Fi%26gt%3B.%20arXiv.%20https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.48550%5C%2FARXIV.2409.10797%20%26lt%3Ba%20title%3D%26%23039%3BCite%20in%20RIS%20Format%26%23039%3B%20class%3D%26%23039%3Bzp-CiteRIS%26%23039%3B%20data-zp-cite%3D%26%23039%3Bapi_user_id%3D2570907%26amp%3Bitem_key%3DQMI8TZQC%26%23039%3B%20href%3D%26%23039%3Bjavascript%3Avoid%280%29%3B%26%23039%3B%26gt%3BCite%26lt%3B%5C%2Fa%26gt%3B%20%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22document%22%2C%22title%22%3A%22ArticulatePro%3A%20A%20Comparative%20Study%20on%20a%20Proactive%20and%20Non-Proactive%20Assistant%20in%20a%20Climate%20Data%20Exploration%20Task%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Roderick%22%2C%22lastName%22%3A%22Tabalba%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Christopher%20J.%22%2C%22lastName%22%3A%22Lee%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Giorgio%22%2C%22lastName%22%3A%22Tran%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Nurit%22%2C%22lastName%22%3A%22Kirshenbaum%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Jason%22%2C%22lastName%22%3A%22Leigh%22%7D%5D%2C%22abstractNote%22%3A%22Recent%20advances%20in%20Natural%20Language%20Interfaces%20%28NLIs%29%20and%20Large%20Language%20Models%20%28LLMs%29%20have%20transformed%20our%20approach%20to%20NLP%20tasks%2C%20shifting%20the%20focus%20towards%20a%20more%20Pragmatics-based%20approach.%20This%20shift%20enables%20more%20natural%20interactions%20between%20humans%20and%20voice%20assistants%2C%20which%20have%20been%20historically%20difficult%20to%20achieve.%20Pragmatics%20involves%20understanding%20how%20users%20often%20talk%20out%20of%20turn%2C%20interrupt%20one%20another%2C%20or%20provide%20relevant%20information%20without%20being%20explicitly%20asked%20%28maxim%20of%20quantity%29.%20To%20explore%20this%2C%20we%20developed%20a%20digital%20assistant%20that%20continuously%20listens%20to%20conversations%20and%20proactively%20generates%20relevant%20visualizations%20during%20data%20exploration%20tasks.%20In%20a%20within-subject%20study%2C%20participants%20interacted%20with%20both%20proactive%20and%20non-proactive%20versions%20of%20a%20voice%20assistant%20while%20exploring%20the%20Hawaii%20Climate%20Data%20Portal%20%28HCDP%29.%20Results%20suggest%20that%20the%20proactive%20assistant%20enhanced%20user%20engagement%20and%20facilitated%20quicker%20insights.%20Our%20study%20highlights%20the%20potential%20of%20Pragmatic%2C%20proactive%20AI%20in%20NLIs%20and%20identifies%20key%20challenges%20in%20its%20implementation%2C%20offering%20insights%20for%20future%20research.%22%2C%22type%22%3A%22%22%2C%22date%22%3A%222024%22%2C%22DOI%22%3A%22%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Farxiv.org%5C%2Fabs%5C%2F2409.10797%22%2C%22language%22%3A%22%22%2C%22collections%22%3A%5B%22F3TA2FVL%22%5D%2C%22dateModified%22%3A%222025-03-18T23%3A59%3A33Z%22%7D%7D%2C%7B%22key%22%3A%224PAQC5LQ%22%2C%22library%22%3A%7B%22id%22%3A2570907%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Wang%20et%20al.%22%2C%22parsedDate%22%3A%222025-01%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%26gt%3BWang%2C%20C.%2C%20Stopa%2C%20J.%20E.%2C%20Vandemark%2C%20D.%2C%20Foster%2C%20R.%2C%20Ayet%2C%20A.%2C%20Mouche%2C%20A.%2C%20Chapron%2C%20B.%2C%20%26amp%3B%20Sadowski%2C%20P.%20%282025%29.%20A%20multi%26%23x2010%3Btagged%20SAR%20ocean%20image%20dataset%20identifying%20atmospheric%20boundary%20layer%20structure%20in%20winter%20tradewind%20conditions.%20%26lt%3Bi%26gt%3BGeoscience%20Data%20Journal%26lt%3B%5C%2Fi%26gt%3B%2C%20%26lt%3Bi%26gt%3B12%26lt%3B%5C%2Fi%26gt%3B%281%29%2C%20e282.%20%26lt%3Ba%20class%3D%26%23039%3Bzp-DOIURL%26%23039%3B%20href%3D%26%23039%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1002%5C%2Fgdj3.282%26%23039%3B%26gt%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1002%5C%2Fgdj3.282%26lt%3B%5C%2Fa%26gt%3B%20%26lt%3Ba%20title%3D%26%23039%3BCite%20in%20RIS%20Format%26%23039%3B%20class%3D%26%23039%3Bzp-CiteRIS%26%23039%3B%20data-zp-cite%3D%26%23039%3Bapi_user_id%3D2570907%26amp%3Bitem_key%3D4PAQC5LQ%26%23039%3B%20href%3D%26%23039%3Bjavascript%3Avoid%280%29%3B%26%23039%3B%26gt%3BCite%26lt%3B%5C%2Fa%26gt%3B%20%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22A%20multi%5Cu2010tagged%20SAR%20ocean%20image%20dataset%20identifying%20atmospheric%20boundary%20layer%20structure%20in%20winter%20tradewind%20conditions%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Chen%22%2C%22lastName%22%3A%22Wang%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Justin%20E.%22%2C%22lastName%22%3A%22Stopa%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Doug%22%2C%22lastName%22%3A%22Vandemark%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Ralph%22%2C%22lastName%22%3A%22Foster%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alex%22%2C%22lastName%22%3A%22Ayet%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexis%22%2C%22lastName%22%3A%22Mouche%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Bertrand%22%2C%22lastName%22%3A%22Chapron%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Peter%22%2C%22lastName%22%3A%22Sadowski%22%7D%5D%2C%22abstractNote%22%3A%22Abstract%20A%20dataset%20of%20multi%5Cu2010tagged%20sea%20surface%20roughness%20synthetic%20aperture%20radar%20%28SAR%29%20satellite%20images%20was%20established%20near%20Barbados%20from%20January%20to%20June%202016%20to%202019.%20It%20is%20an%20advancement%20of%20the%20Sentinel%5Cu20101%20Wave%20Mode%20TenGeoP%5Cu2010SARwv%20%28a%20labelled%20SAR%20imagery%20dataset%20of%2010%20geophysical%20phenomena%20from%20Sentinel%5Cu20101%20wave%20mode%29%20dataset%20that%20targets%20SAR%20marine%20atmospheric%20boundary%20layer%20%28MABL%29%20coherent%20structures.%20Twelve%20tags%20define%20roll%20vortices%2C%20convective%20cells%2C%20mixed%20rolls%20and%20convective%20cells%2C%20fronts%2C%20rain%20cells%2C%20cold%20pools%20and%20low%20winds.%20Examples%20are%20provided%20for%20each%20signature.%20The%20final%20dataset%20is%20comprised%20of%202100%20Sentinel%5Cu20101%20wave%20mode%20SAR%20images%20acquired%20at%2036%20incidence%20angle%20over%20an%208%5Cu00b0%20%5Cu00d7%208%5Cu00b0region%20centered%20at%2051%5Cu00b0%20W%2C%2015%5Cu00b0%20N.%20Each%20image%20is%20tagged%20with%20one%20or%20multiple%20phenomena%20by%20five%20experts.%20This%20strategy%20extends%20the%20TenGeoP%5Cu2010SARwv%20by%20identifying%20coexisting%20phenomena%20within%20a%20single%20SAR%20image%20and%20by%20the%20addition%20of%20mixed%20roll%5C%2Fcell%20states%20and%20cold%20pools.%20The%20dataset%20includes%20PNG%5Cu2010formatted%20SAR%20image%20files%20along%20with%20two%20text%20files%20containing%20the%20file%20name%2C%20the%20central%20latitude%5C%2Flongitude%2C%20expert%20tags%20for%20each%20image%2C%20and%20all%20dataset%20metadata.%20There%20is%20a%20high%20degree%20of%20consensus%20among%20expert%20tags.%20The%20dataset%20complements%20existing%20hand%5Cu2010labelled%20ocean%20SAR%20image%20datasets%20and%20offers%20the%20potential%20for%20new%20deep%5Cu2010learning%20SAR%20image%20classification%20model%20developments.%20Future%20use%20is%20also%20expected%20to%20yield%20new%20insights%20into%20the%20tradewind%20MABL%20processes%20such%20as%20structure%20transitions%20and%20their%20relation%20to%20the%20stratification.%22%2C%22date%22%3A%222025-01%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.1002%5C%2Fgdj3.282%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Frmets.onlinelibrary.wiley.com%5C%2Fdoi%5C%2F10.1002%5C%2Fgdj3.282%22%2C%22PMID%22%3A%22%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%222049-6060%2C%202049-6060%22%2C%22language%22%3A%22en%22%2C%22collections%22%3A%5B%22F3TA2FVL%22%5D%2C%22dateModified%22%3A%222025-03-18T23%3A59%3A33Z%22%7D%7D%2C%7B%22key%22%3A%22XQMJQL34%22%2C%22library%22%3A%7B%22id%22%3A2570907%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22McLean%20and%20Cleveland%22%2C%22parsedDate%22%3A%222024-10%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%26gt%3BMcLean%2C%20J.%2C%20%26amp%3B%20Cleveland%2C%20S.%20%282024%29.%20%26lt%3Bi%26gt%3BA%20Fast%20TIFF%20File%20Value%20Extractor%20For%20Generating%20Timeseries%20Data%20to%20Enable%20Virtual%20Climate%20Stations%26lt%3B%5C%2Fi%26gt%3B.%20%26lt%3Ba%20class%3D%26%23039%3Bzp-DOIURL%26%23039%3B%20href%3D%26%23039%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.5281%5C%2FZENODO.13870135%26%23039%3B%26gt%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.5281%5C%2FZENODO.13870135%26lt%3B%5C%2Fa%26gt%3B%20%26lt%3Ba%20title%3D%26%23039%3BCite%20in%20RIS%20Format%26%23039%3B%20class%3D%26%23039%3Bzp-CiteRIS%26%23039%3B%20data-zp-cite%3D%26%23039%3Bapi_user_id%3D2570907%26amp%3Bitem_key%3DXQMJQL34%26%23039%3B%20href%3D%26%23039%3Bjavascript%3Avoid%280%29%3B%26%23039%3B%26gt%3BCite%26lt%3B%5C%2Fa%26gt%3B%20%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22A%20Fast%20TIFF%20File%20Value%20Extractor%20For%20Generating%20Timeseries%20Data%20to%20Enable%20Virtual%20Climate%20Stations%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Jared%22%2C%22lastName%22%3A%22McLean%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Sean%22%2C%22lastName%22%3A%22Cleveland%22%7D%5D%2C%22abstractNote%22%3A%22This%20paper%20presents%20a%20specialized%20C%2B%2B%20library%20that%20efficiently%20extracts%20values%20from%20TIFF%20files%20to%20allow%20for%20fast%20generation%20of%20timeseries%20information%20from%20a%20large%20set%20of%20GeoTIFF%20data.%20This%20was%20produced%20to%20assist%20in%20generating%20timeseries%20for%20the%20Hawai%5Cu2018i%20Climate%20Data%20Portal%20%28HCDP%29%2C%20an%20online%20portal%20providing%20climatological%20data%20for%20the%20state%20of%20Hawai%5Cu2018i.%20The%20library%20utilizes%20a%20strip-oriented%20reading%20approach%20and%20a%20specialized%20LZW%20compression%20decoder%20that%20will%20process%20partial%20strips.%20A%20parallelized%20driver%20program%20was%20created%20to%20further%20enhance%20extraction%20efficiency%20for%20large%20sets%20of%20data.%20Experimental%20results%20demonstrate%20a%20significant%20speedup%20for%20extracting%20values%20in%20early%20columns%20from%20TIFF%20files.%20This%20library%20is%20integrated%20into%20an%20API%20backing%20the%20HCDP%20and%20is%20being%20leveraged%20to%20generate%20on-demand%20timeseries%20visualizations%20for%20climatological%20variables%20at%20arbitrary%20points%20throughout%20Hawai%5Cu2018i.%22%2C%22date%22%3A%222024-10%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.5281%5C%2FZENODO.13870135%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fzenodo.org%5C%2Fdoi%5C%2F10.5281%5C%2Fzenodo.13870135%22%2C%22PMID%22%3A%22%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%22%22%2C%22language%22%3A%22en%22%2C%22collections%22%3A%5B%22F3TA2FVL%22%5D%2C%22dateModified%22%3A%222025-03-18T23%3A59%3A33Z%22%7D%7D%2C%7B%22key%22%3A%22JNAAUI3Q%22%2C%22library%22%3A%7B%22id%22%3A2570907%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Noe%20and%20Kirshenbaum%22%2C%22parsedDate%22%3A%222024-05%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%26gt%3BNoe%2C%20K.%2C%20%26amp%3B%20Kirshenbaum%2C%20N.%20%282024%29.%20Where%20Generalized%20Equitable%20Design%20Practice%20Meet%20Specific%20Indigenous%20Communities.%20%26lt%3Bi%26gt%3BProceedings%20of%20the%20CHI%20Conference%20on%20Human%20Factors%20in%20Computing%20Systems%26lt%3B%5C%2Fi%26gt%3B%2C%201%26%23x2013%3B8.%20%26lt%3Ba%20class%3D%26%23039%3Bzp-DOIURL%26%23039%3B%20href%3D%26%23039%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1145%5C%2F3613904.3642931%26%23039%3B%26gt%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1145%5C%2F3613904.3642931%26lt%3B%5C%2Fa%26gt%3B%20%26lt%3Ba%20title%3D%26%23039%3BCite%20in%20RIS%20Format%26%23039%3B%20class%3D%26%23039%3Bzp-CiteRIS%26%23039%3B%20data-zp-cite%3D%26%23039%3Bapi_user_id%3D2570907%26amp%3Bitem_key%3DJNAAUI3Q%26%23039%3B%20href%3D%26%23039%3Bjavascript%3Avoid%280%29%3B%26%23039%3B%26gt%3BCite%26lt%3B%5C%2Fa%26gt%3B%20%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22conferencePaper%22%2C%22title%22%3A%22Where%20Generalized%20Equitable%20Design%20Practice%20Meet%20Specific%20Indigenous%20Communities%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Kari%22%2C%22lastName%22%3A%22Noe%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Nurit%22%2C%22lastName%22%3A%22Kirshenbaum%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22proceedingsTitle%22%3A%22Proceedings%20of%20the%20CHI%20Conference%20on%20Human%20Factors%20in%20Computing%20Systems%22%2C%22conferenceName%22%3A%22%22%2C%22date%22%3A%222024-05%22%2C%22eventPlace%22%3A%22%22%2C%22DOI%22%3A%2210.1145%5C%2F3613904.3642931%22%2C%22ISBN%22%3A%229798400703300%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fdl.acm.org%5C%2Fdoi%5C%2F10.1145%5C%2F3613904.3642931%22%2C%22ISSN%22%3A%22%22%2C%22language%22%3A%22en%22%2C%22collections%22%3A%5B%22F3TA2FVL%22%5D%2C%22dateModified%22%3A%222025-03-18T23%3A59%3A33Z%22%7D%7D%2C%7B%22key%22%3A%222FMMYEJC%22%2C%22library%22%3A%7B%22id%22%3A2570907%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Chen%20et%20al.%22%2C%22parsedDate%22%3A%222024-09%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%26gt%3BChen%2C%20C.%20Y.%2C%20Christoffels%2C%20A.%2C%20Dube%2C%20R.%2C%20Enos%2C%20K.%2C%20Gilbert%2C%20J.%20E.%2C%20Koyejo%2C%20S.%2C%20Leigh%2C%20J.%2C%20Liquido%2C%20C.%2C%20McKee%2C%20A.%2C%20Noe%2C%20K.%2C%20Peng%2C%20T.-Q.%2C%20%26amp%3B%20Taiuru%2C%20K.%20%282024%29.%20Increasing%20the%20presence%20of%20BIPOC%20researchers%20in%20computational%20science.%20%26lt%3Bi%26gt%3BNature%20Computational%20Science%26lt%3B%5C%2Fi%26gt%3B%2C%20%26lt%3Bi%26gt%3B4%26lt%3B%5C%2Fi%26gt%3B%289%29%2C%20646%26%23x2013%3B653.%20%26lt%3Ba%20class%3D%26%23039%3Bzp-DOIURL%26%23039%3B%20href%3D%26%23039%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1038%5C%2Fs43588-024-00693-6%26%23039%3B%26gt%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1038%5C%2Fs43588-024-00693-6%26lt%3B%5C%2Fa%26gt%3B%20%26lt%3Ba%20title%3D%26%23039%3BCite%20in%20RIS%20Format%26%23039%3B%20class%3D%26%23039%3Bzp-CiteRIS%26%23039%3B%20data-zp-cite%3D%26%23039%3Bapi_user_id%3D2570907%26amp%3Bitem_key%3D2FMMYEJC%26%23039%3B%20href%3D%26%23039%3Bjavascript%3Avoid%280%29%3B%26%23039%3B%26gt%3BCite%26lt%3B%5C%2Fa%26gt%3B%20%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Increasing%20the%20presence%20of%20BIPOC%20researchers%20in%20computational%20science%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Christine%20Yifeng%22%2C%22lastName%22%3A%22Chen%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alan%22%2C%22lastName%22%3A%22Christoffels%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Roger%22%2C%22lastName%22%3A%22Dube%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Kamuela%22%2C%22lastName%22%3A%22Enos%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Juan%20E.%22%2C%22lastName%22%3A%22Gilbert%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Sanmi%22%2C%22lastName%22%3A%22Koyejo%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Jason%22%2C%22lastName%22%3A%22Leigh%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Carlo%22%2C%22lastName%22%3A%22Liquido%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Amy%22%2C%22lastName%22%3A%22McKee%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Kari%22%2C%22lastName%22%3A%22Noe%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Tai-Quan%22%2C%22lastName%22%3A%22Peng%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Karaitiana%22%2C%22lastName%22%3A%22Taiuru%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22date%22%3A%222024-09%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.1038%5C%2Fs43588-024-00693-6%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fwww.nature.com%5C%2Farticles%5C%2Fs43588-024-00693-6%22%2C%22PMID%22%3A%22%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%222662-8457%22%2C%22language%22%3A%22en%22%2C%22collections%22%3A%5B%22F3TA2FVL%22%5D%2C%22dateModified%22%3A%222025-03-18T23%3A59%3A33Z%22%7D%7D%2C%7B%22key%22%3A%22A2KVJ9XH%22%2C%22library%22%3A%7B%22id%22%3A2570907%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Stokes%20et%20al.%22%2C%22parsedDate%22%3A%222024-11%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%26gt%3BStokes%2C%20A.%20J.%2C%20Vary%2C%20N.%20G.%2C%20%26amp%3B%20Lorshbough%2C%20E.%20L.%20%282024%29.%20Systemic%20biases%20are%20leading%20to%20an%20intersex%20research%20void.%20%26lt%3Bi%26gt%3BNature%26lt%3B%5C%2Fi%26gt%3B%2C%20%26lt%3Bi%26gt%3B635%26lt%3B%5C%2Fi%26gt%3B%288038%29%2C%20290%26%23x2013%3B290.%20%26lt%3Ba%20class%3D%26%23039%3Bzp-DOIURL%26%23039%3B%20href%3D%26%23039%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1038%5C%2Fd41586-024-03662-1%26%23039%3B%26gt%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1038%5C%2Fd41586-024-03662-1%26lt%3B%5C%2Fa%26gt%3B%20%26lt%3Ba%20title%3D%26%23039%3BCite%20in%20RIS%20Format%26%23039%3B%20class%3D%26%23039%3Bzp-CiteRIS%26%23039%3B%20data-zp-cite%3D%26%23039%3Bapi_user_id%3D2570907%26amp%3Bitem_key%3DA2KVJ9XH%26%23039%3B%20href%3D%26%23039%3Bjavascript%3Avoid%280%29%3B%26%23039%3B%26gt%3BCite%26lt%3B%5C%2Fa%26gt%3B%20%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Systemic%20biases%20are%20leading%20to%20an%20intersex%20research%20void%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexander%20J.%22%2C%22lastName%22%3A%22Stokes%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Nick%20G.%22%2C%22lastName%22%3A%22Vary%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Erika%20L.%22%2C%22lastName%22%3A%22Lorshbough%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22date%22%3A%222024-11%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.1038%5C%2Fd41586-024-03662-1%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fwww.nature.com%5C%2Farticles%5C%2Fd41586-024-03662-1%22%2C%22PMID%22%3A%22%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%220028-0836%2C%201476-4687%22%2C%22language%22%3A%22en%22%2C%22collections%22%3A%5B%22F3TA2FVL%22%5D%2C%22dateModified%22%3A%222025-03-18T23%3A59%3A33Z%22%7D%7D%2C%7B%22key%22%3A%222YWKGFQD%22%2C%22library%22%3A%7B%22id%22%3A2570907%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Rodr%5Cu00edguez-Puerta%20et%20al.%22%2C%22parsedDate%22%3A%222024-12%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%26gt%3BRodr%26%23xED%3Bguez-Puerta%2C%20F.%2C%20Perroy%2C%20R.%20L.%2C%20Barrera%2C%20C.%2C%20Price%2C%20J.%20P.%2C%20%26amp%3B%20Garc%26%23xED%3Ba-Pascual%2C%20B.%20%282024%29.%20Five-Year%20Evaluation%20of%20Sentinel-2%20Cloud-Free%20Mosaic%20Generation%20Under%20Varied%20Cloud%20Cover%20Conditions%20in%20Hawai%26%23x2019%3Bi.%20%26lt%3Bi%26gt%3BRemote%20Sensing%26lt%3B%5C%2Fi%26gt%3B%2C%20%26lt%3Bi%26gt%3B16%26lt%3B%5C%2Fi%26gt%3B%2824%29%2C%204791.%20%26lt%3Ba%20class%3D%26%23039%3Bzp-DOIURL%26%23039%3B%20href%3D%26%23039%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.3390%5C%2Frs16244791%26%23039%3B%26gt%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.3390%5C%2Frs16244791%26lt%3B%5C%2Fa%26gt%3B%20%26lt%3Ba%20title%3D%26%23039%3BCite%20in%20RIS%20Format%26%23039%3B%20class%3D%26%23039%3Bzp-CiteRIS%26%23039%3B%20data-zp-cite%3D%26%23039%3Bapi_user_id%3D2570907%26amp%3Bitem_key%3D2YWKGFQD%26%23039%3B%20href%3D%26%23039%3Bjavascript%3Avoid%280%29%3B%26%23039%3B%26gt%3BCite%26lt%3B%5C%2Fa%26gt%3B%20%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Five-Year%20Evaluation%20of%20Sentinel-2%20Cloud-Free%20Mosaic%20Generation%20Under%20Varied%20Cloud%20Cover%20Conditions%20in%20Hawai%5Cu2019i%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Francisco%22%2C%22lastName%22%3A%22Rodr%5Cu00edguez-Puerta%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Ryan%20L.%22%2C%22lastName%22%3A%22Perroy%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Carlos%22%2C%22lastName%22%3A%22Barrera%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Jonathan%20P.%22%2C%22lastName%22%3A%22Price%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Borja%22%2C%22lastName%22%3A%22Garc%5Cu00eda-Pascual%22%7D%5D%2C%22abstractNote%22%3A%22The%20generation%20of%20cloud-free%20satellite%20mosaics%20is%20essential%20for%20a%20range%20of%20remote%20sensing%20applications%2C%20including%20land%20use%20mapping%2C%20ecosystem%20monitoring%2C%20and%20resource%20management.%20This%20study%20focuses%20on%20remote%20sensing%20across%20the%20climatic%20diversity%20of%20Hawai%5Cu2019i%20Island%2C%20which%20encompasses%20ten%20K%5Cu00f6ppen%20climate%20zones%20from%20tropical%20to%20Arctic%3A%20periglacial.%20This%20diversity%20presents%20unique%20challenges%20for%20cloud-free%20image%20generation.%20We%20conducted%20a%20comparative%20analysis%20of%20three%20cloud-masking%20methods%3A%20two%20Google%20Earth%20Engine%20algorithms%20%28CloudScore%2B%20and%20s2cloudless%29%20and%20a%20new%20proprietary%20deep%20learning-based%20algorithm%20%28L3%29%20applied%20to%20Sentinel-2%20imagery.%20These%20methods%20were%20evaluated%20against%20the%20best%20monthly%20composite%20selected%20from%20high-frequency%20Planet%20imagery%2C%20which%20acquires%20daily%20images.%20All%20Sentinel-2%20bands%20were%20enhanced%20to%20a%2010%20m%20resolution%2C%20and%20an%20advanced%20weather%20mask%20was%20applied%20to%20generate%20monthly%20mosaics%20from%202019%20to%202023.%20We%20stratified%20the%20analysis%20by%20cloud%20cover%20frequency%20%28low%2C%20moderate%2C%20high%2C%20and%20very%20high%29%2C%20applying%20one-way%20and%20two-way%20ANOVAs%20to%20assess%20cloud-free%20pixel%20success%20rates.%20Results%20indicate%20that%20CloudScore%2B%20achieved%20the%20highest%20success%20rate%20at%2089.4%25%20cloud-free%20pixels%2C%20followed%20by%20L3%20and%20s2cloudless%20at%2079.3%25%20and%2080.8%25%2C%20respectively.%20Cloud%20removal%20effectiveness%20decreased%20as%20cloud%20cover%20increased%2C%20with%20clear%20pixel%20success%20rates%20ranging%20from%2094.6%25%20under%20low%20cloud%20cover%20to%2079.3%25%20under%20very%20high%20cloud%20cover.%20Additionally%2C%20seasonality%20effects%20showed%20higher%20cloud%20removal%20rates%20in%20the%20wet%20season%20%2888.6%25%29%2C%20while%20no%20significant%20year-to-year%20differences%20were%20observed%20from%202019%20to%202023.%20This%20study%20advances%20current%20methodologies%20for%20generating%20reliable%20cloud-free%20mosaics%20in%20tropical%20and%20subtropical%20regions%2C%20with%20potential%20applications%20for%20remote%20sensing%20in%20other%20cloud-dense%20environments.%22%2C%22date%22%3A%222024-12%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.3390%5C%2Frs16244791%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fwww.mdpi.com%5C%2F2072-4292%5C%2F16%5C%2F24%5C%2F4791%22%2C%22PMID%22%3A%22%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%222072-4292%22%2C%22language%22%3A%22en%22%2C%22collections%22%3A%5B%22F3TA2FVL%22%5D%2C%22dateModified%22%3A%222025-03-18T23%3A59%3A33Z%22%7D%7D%2C%7B%22key%22%3A%227P2GL9BV%22%2C%22library%22%3A%7B%22id%22%3A2570907%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Bagheri%20et%20al.%22%2C%22parsedDate%22%3A%222024-07%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%26gt%3BBagheri%2C%20H.%2C%20Mirakhorli%2C%20M.%2C%20Fazelnia%2C%20M.%2C%20Mujhid%2C%20I.%2C%20%26amp%3B%20Hasan%2C%20M.%20R.%20%282024%29.%20Neuro-Symbolic%20Approach%20to%20Certified%20Scientific%20Software%20Synthesis.%20%26lt%3Bi%26gt%3BProceedings%20of%20the%201st%20ACM%20International%20Conference%20on%20AI-Powered%20Software%26lt%3B%5C%2Fi%26gt%3B%2C%20147%26%23x2013%3B150.%20%26lt%3Ba%20class%3D%26%23039%3Bzp-DOIURL%26%23039%3B%20href%3D%26%23039%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1145%5C%2F3664646.3664776%26%23039%3B%26gt%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1145%5C%2F3664646.3664776%26lt%3B%5C%2Fa%26gt%3B%20%26lt%3Ba%20title%3D%26%23039%3BCite%20in%20RIS%20Format%26%23039%3B%20class%3D%26%23039%3Bzp-CiteRIS%26%23039%3B%20data-zp-cite%3D%26%23039%3Bapi_user_id%3D2570907%26amp%3Bitem_key%3D7P2GL9BV%26%23039%3B%20href%3D%26%23039%3Bjavascript%3Avoid%280%29%3B%26%23039%3B%26gt%3BCite%26lt%3B%5C%2Fa%26gt%3B%20%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22conferencePaper%22%2C%22title%22%3A%22Neuro-Symbolic%20Approach%20to%20Certified%20Scientific%20Software%20Synthesis%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Hamid%22%2C%22lastName%22%3A%22Bagheri%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Mehdi%22%2C%22lastName%22%3A%22Mirakhorli%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Mohamad%22%2C%22lastName%22%3A%22Fazelnia%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Ibrahim%22%2C%22lastName%22%3A%22Mujhid%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Md%20Rashedul%22%2C%22lastName%22%3A%22Hasan%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22proceedingsTitle%22%3A%22Proceedings%20of%20the%201st%20ACM%20International%20Conference%20on%20AI-Powered%20Software%22%2C%22conferenceName%22%3A%22%22%2C%22date%22%3A%222024-07%22%2C%22eventPlace%22%3A%22%22%2C%22DOI%22%3A%2210.1145%5C%2F3664646.3664776%22%2C%22ISBN%22%3A%229798400706851%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fdl.acm.org%5C%2Fdoi%5C%2F10.1145%5C%2F3664646.3664776%22%2C%22ISSN%22%3A%22%22%2C%22language%22%3A%22en%22%2C%22collections%22%3A%5B%22F3TA2FVL%22%5D%2C%22dateModified%22%3A%222025-03-18T23%3A59%3A33Z%22%7D%7D%2C%7B%22key%22%3A%22FU6BKYTE%22%2C%22library%22%3A%7B%22id%22%3A2570907%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Johnson%20et%20al.%22%2C%22parsedDate%22%3A%222024-07%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%26gt%3BJohnson%2C%20A.%20E.%2C%20Renambot%2C%20L.%2C%20Marai%2C%20G.%20E.%2C%20Tsoupikova%2C%20D.%2C%20Papka%2C%20M.%20E.%2C%20Long%2C%20L.%2C%20Plepys%2C%20D.%2C%20Talandis%2C%20J.%2C%20Brown%2C%20M.%20D.%2C%20Leigh%2C%20J.%2C%20Sandin%2C%20D.%20J.%2C%20%26amp%3B%20DeFanti%2C%20T.%20A.%20%282024%29.%20Electronic%20Visualization%20Laboratory%26%23x2019%3Bs%2050th%20Anniversary%20Retrospective%3A%20Look%20to%20the%20Future%2C%20Build%20on%20the%20Past.%20%26lt%3Bi%26gt%3BPRESENCE%3A%20Virtual%20and%20Augmented%20Reality%26lt%3B%5C%2Fi%26gt%3B%2C%20%26lt%3Bi%26gt%3B33%26lt%3B%5C%2Fi%26gt%3B%2C%2077%26%23x2013%3B127.%20%26lt%3Ba%20class%3D%26%23039%3Bzp-DOIURL%26%23039%3B%20href%3D%26%23039%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1162%5C%2Fpres_a_00421%26%23039%3B%26gt%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1162%5C%2Fpres_a_00421%26lt%3B%5C%2Fa%26gt%3B%20%26lt%3Ba%20title%3D%26%23039%3BCite%20in%20RIS%20Format%26%23039%3B%20class%3D%26%23039%3Bzp-CiteRIS%26%23039%3B%20data-zp-cite%3D%26%23039%3Bapi_user_id%3D2570907%26amp%3Bitem_key%3DFU6BKYTE%26%23039%3B%20href%3D%26%23039%3Bjavascript%3Avoid%280%29%3B%26%23039%3B%26gt%3BCite%26lt%3B%5C%2Fa%26gt%3B%20%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Electronic%20Visualization%20Laboratory%27s%2050th%20Anniversary%20Retrospective%3A%20Look%20to%20the%20Future%2C%20Build%20on%20the%20Past%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Andrew%20E.%22%2C%22lastName%22%3A%22Johnson%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Luc%22%2C%22lastName%22%3A%22Renambot%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22G.%20Elisabeta%22%2C%22lastName%22%3A%22Marai%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Daria%22%2C%22lastName%22%3A%22Tsoupikova%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Michael%20E.%22%2C%22lastName%22%3A%22Papka%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Lance%22%2C%22lastName%22%3A%22Long%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Dana%22%2C%22lastName%22%3A%22Plepys%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Jonas%22%2C%22lastName%22%3A%22Talandis%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Maxine%20D.%22%2C%22lastName%22%3A%22Brown%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Jason%22%2C%22lastName%22%3A%22Leigh%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Daniel%20J.%22%2C%22lastName%22%3A%22Sandin%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Thomas%20A.%22%2C%22lastName%22%3A%22DeFanti%22%7D%5D%2C%22abstractNote%22%3A%22Abstract%20September%202023%20marks%20the%2050th%20anniversary%20of%20the%20Electronic%20Visualization%20Laboratory%20%28EVL%29%20at%20University%20of%20Illinois%20Chicago%20%28UIC%29.%20EVL%26%23039%3Bs%20introduction%20of%20the%20CAVE%20Automatic%20Virtual%20Environment%20in%201992%2C%20the%20first%20widely%20replicated%2C%20projection-based%2C%20walk-in%2C%20virtual-reality%20%28VR%29%20system%20in%20the%20world%2C%20put%20EVL%20at%20the%20forefront%20of%20collaborative%2C%20immersive%20data%20exploration%20and%20analytics.%20However%2C%20the%20journey%20did%20not%20begin%20then.%20Since%20its%20founding%20in%201973%2C%20EVL%20has%20been%20developing%20tools%20and%20techniques%20for%20real-time%2C%20interactive%20visualizations%5Cu2014pillars%20of%20VR.%20But%20EVL%26%23039%3Bs%20culture%20is%20also%20relevant%20to%20its%20successes%2C%20as%20it%20has%20always%20been%20an%20interdisciplinary%20lab%20that%20fosters%20teamwork%2C%20where%20each%20person%26%23039%3Bs%20expertise%20contributes%20to%20the%20development%20of%20the%20necessary%20tools%2C%20hardware%2C%20system%20software%2C%20applications%2C%20and%20human%20interface%20models%20to%20solve%20problems.%20Over%20the%20years%2C%20as%20multidisciplinary%20collaborations%20evolved%20and%20advanced%20scientific%20instruments%20and%20data%20resources%20were%20distributed%20globally%2C%20the%20need%20to%20access%20and%20share%20data%20and%20visualizations%20while%20working%20with%20colleagues%2C%20local%20and%20remote%2C%20synchronous%20and%20asynchronous%2C%20also%20became%20important%20fields%20of%20study.%20This%20paper%20is%20a%20retrospective%20of%20EVL%26%23039%3Bs%20past%2050%20years%20that%20surveys%20the%20many%20networked%2C%20immersive%2C%20collaborative%20visualization%20and%20VR%20systems%20and%20applications%20it%20developed%20and%20deployed%2C%20as%20well%20as%20lessons%20learned%20and%20future%20plans.%22%2C%22date%22%3A%222024-07%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.1162%5C%2Fpres_a_00421%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fdirect.mit.edu%5C%2Fpvar%5C%2Farticle%5C%2Fdoi%5C%2F10.1162%5C%2Fpres_a_00421%5C%2F120470%5C%2FElectronic-Visualization-Laboratory-s-50th%22%2C%22PMID%22%3A%22%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%221531-3263%22%2C%22language%22%3A%22en%22%2C%22collections%22%3A%5B%22F3TA2FVL%22%5D%2C%22dateModified%22%3A%222025-03-18T23%3A59%3A32Z%22%7D%7D%2C%7B%22key%22%3A%22QBZCPQ9Y%22%2C%22library%22%3A%7B%22id%22%3A2570907%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Bhattacharya%20et%20al.%22%2C%22parsedDate%22%3A%222024-12%22%2C%22numChildren%22%3A3%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%26gt%3BBhattacharya%2C%20A.%2C%20Di%20Eugenio%2C%20B.%2C%20Grosso%2C%20V.%2C%20Johnson%2C%20A.%2C%20Tabalba%2C%20R.%2C%20Kirshenbaum%2C%20N.%2C%20Leigh%2C%20J.%2C%20%26amp%3B%20Zellner%2C%20M.%20%282024%29.%20A%20Conversational%20Assistant%20for%20Democratization%20of%20Data%20Visualization%3A%20A%20Comparative%20Study%20of%20Two%20Approaches%20of%20Interaction.%20%26lt%3Bi%26gt%3BStatistical%20Analysis%20and%20Data%20Mining%3A%20An%20ASA%20Data%20Science%20Journal%26lt%3B%5C%2Fi%26gt%3B%2C%20%26lt%3Bi%26gt%3B17%26lt%3B%5C%2Fi%26gt%3B%286%29%2C%20e11714.%20%26lt%3Ba%20class%3D%26%23039%3Bzp-DOIURL%26%23039%3B%20href%3D%26%23039%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1002%5C%2Fsam.11714%26%23039%3B%26gt%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1002%5C%2Fsam.11714%26lt%3B%5C%2Fa%26gt%3B%20%26lt%3Ba%20title%3D%26%23039%3BCite%20in%20RIS%20Format%26%23039%3B%20class%3D%26%23039%3Bzp-CiteRIS%26%23039%3B%20data-zp-cite%3D%26%23039%3Bapi_user_id%3D2570907%26amp%3Bitem_key%3DQBZCPQ9Y%26%23039%3B%20href%3D%26%23039%3Bjavascript%3Avoid%280%29%3B%26%23039%3B%26gt%3BCite%26lt%3B%5C%2Fa%26gt%3B%20%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22A%20Conversational%20Assistant%20for%20Democratization%20of%20Data%20Visualization%3A%20A%20Comparative%20Study%20of%20Two%20Approaches%20of%20Interaction%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Abari%22%2C%22lastName%22%3A%22Bhattacharya%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Barbara%22%2C%22lastName%22%3A%22Di%20Eugenio%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Veronica%22%2C%22lastName%22%3A%22Grosso%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Andrew%22%2C%22lastName%22%3A%22Johnson%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Roderick%22%2C%22lastName%22%3A%22Tabalba%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Nurit%22%2C%22lastName%22%3A%22Kirshenbaum%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Jason%22%2C%22lastName%22%3A%22Leigh%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Moira%22%2C%22lastName%22%3A%22Zellner%22%7D%5D%2C%22abstractNote%22%3A%22ABSTRACT%20Data%20visualization%20is%20an%20important%20aspect%20of%20exploratory%20data%20analysis%20which%20requires%20expertise%2C%20posing%20a%20challenge%20to%20many%20users.%20In%20this%20work%2C%20we%20present%20a%20conversational%20system%20designed%20to%20make%20data%20visualization%20accessible%2C%20where%20users%20can%20generate%20visualizations%20of%20data%20by%20natural%20language%20conversational%20interaction%20with%20the%20system.%20We%20conducted%20a%20between%5Cu2010subject%20study%20to%20compare%20two%20versions%20of%20our%20system%2C%20where%20users%20were%20asked%20to%20perform%20data%20exploration%20tasks.%20We%20did%20not%20find%20significant%20differences%20as%20concerns%20user%20assessments%20of%20their%20interactions%20with%20the%20system%3B%20however%2C%20we%20uncovered%20that%20users%20explore%20different%20properties%20of%20the%20data%20and%20reach%20different%20conclusions%20when%20using%20the%20two%20systems.%20We%20will%20discuss%20the%20general%20implications%20of%20our%20findings%20as%20regards%20the%20usage%20of%20conversational%20interfaces%20for%20visualization.%22%2C%22date%22%3A%222024-12%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.1002%5C%2Fsam.11714%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fonlinelibrary.wiley.com%5C%2Fdoi%5C%2F10.1002%5C%2Fsam.11714%22%2C%22PMID%22%3A%22%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%221932-1864%2C%201932-1872%22%2C%22language%22%3A%22en%22%2C%22collections%22%3A%5B%22F3TA2FVL%22%5D%2C%22dateModified%22%3A%222025-03-18T23%3A59%3A32Z%22%7D%7D%2C%7B%22key%22%3A%22KE7D23U6%22%2C%22library%22%3A%7B%22id%22%3A2570907%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Cleveland%20et%20al.%22%2C%22parsedDate%22%3A%222024-07%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%26gt%3BCleveland%2C%20S.%20B.%2C%20Tanaka%2C%20S.%2C%20Dumanlang%2C%20M.%2C%20Stokes%2C%20A.%20J.%2C%20Johnson%2C%20P.%20M.%2C%20Leigh%2C%20J.%2C%20Giambelluca%2C%20T.%20W.%2C%20Turner%2C%20H.%2C%20%26amp%3B%20Jacobs%2C%20G.%20A.%20%282024%29.%20Building%20a%20Cybertraining%20program%20for%20Climate%20Scientists%20in%20the%20Pacific%20to%20integrate%20Cyberinfrastructure%20and%20Open%20Science.%20%26lt%3Bi%26gt%3BPractice%20and%20Experience%20in%20Advanced%20Research%20Computing%202024%3A%20Human%20Powered%20Computing%26lt%3B%5C%2Fi%26gt%3B%2C%201%26%23x2013%3B4.%20%26lt%3Ba%20class%3D%26%23039%3Bzp-DOIURL%26%23039%3B%20href%3D%26%23039%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1145%5C%2F3626203.3670617%26%23039%3B%26gt%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1145%5C%2F3626203.3670617%26lt%3B%5C%2Fa%26gt%3B%20%26lt%3Ba%20title%3D%26%23039%3BCite%20in%20RIS%20Format%26%23039%3B%20class%3D%26%23039%3Bzp-CiteRIS%26%23039%3B%20data-zp-cite%3D%26%23039%3Bapi_user_id%3D2570907%26amp%3Bitem_key%3DKE7D23U6%26%23039%3B%20href%3D%26%23039%3Bjavascript%3Avoid%280%29%3B%26%23039%3B%26gt%3BCite%26lt%3B%5C%2Fa%26gt%3B%20%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22conferencePaper%22%2C%22title%22%3A%22Building%20a%20Cybertraining%20program%20for%20Climate%20Scientists%20in%20the%20Pacific%20to%20integrate%20Cyberinfrastructure%20and%20Open%20Science%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Sean%20B%22%2C%22lastName%22%3A%22Cleveland%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Shivani%22%2C%22lastName%22%3A%22Tanaka%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Maria%22%2C%22lastName%22%3A%22Dumanlang%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexander%20J%22%2C%22lastName%22%3A%22Stokes%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Philip%20M%22%2C%22lastName%22%3A%22Johnson%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Jason%22%2C%22lastName%22%3A%22Leigh%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Thomas%20W%22%2C%22lastName%22%3A%22Giambelluca%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Helen%22%2C%22lastName%22%3A%22Turner%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Gwen%20A.%22%2C%22lastName%22%3A%22Jacobs%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22proceedingsTitle%22%3A%22Practice%20and%20Experience%20in%20Advanced%20Research%20Computing%202024%3A%20Human%20Powered%20Computing%22%2C%22conferenceName%22%3A%22%22%2C%22date%22%3A%222024-07%22%2C%22eventPlace%22%3A%22%22%2C%22DOI%22%3A%2210.1145%5C%2F3626203.3670617%22%2C%22ISBN%22%3A%229798400704192%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fdl.acm.org%5C%2Fdoi%5C%2F10.1145%5C%2F3626203.3670617%22%2C%22ISSN%22%3A%22%22%2C%22language%22%3A%22en%22%2C%22collections%22%3A%5B%22F3TA2FVL%22%5D%2C%22dateModified%22%3A%222025-03-18T23%3A59%3A32Z%22%7D%7D%2C%7B%22key%22%3A%22W7W449DU%22%2C%22library%22%3A%7B%22id%22%3A2570907%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Takagi%20et%20al.%22%2C%22parsedDate%22%3A%222024-06%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%26gt%3BTakagi%2C%20Y.%2C%20Tabalba%2C%20R.%2C%20Kirshenbaum%2C%20N.%2C%20%26amp%3B%20Leigh%2C%20J.%20%282024%29.%20Abstracted%20Trajectory%20Visualization%20for%20Explainability%20in%20Reinforcement%20Learning.%20%26lt%3Bi%26gt%3B2024%20IEEE%20Conference%20on%20Artificial%20Intelligence%20%28CAI%29%26lt%3B%5C%2Fi%26gt%3B%2C%2075%26%23x2013%3B82.%20%26lt%3Ba%20class%3D%26%23039%3Bzp-DOIURL%26%23039%3B%20href%3D%26%23039%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1109%5C%2FCAI59869.2024.00023%26%23039%3B%26gt%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1109%5C%2FCAI59869.2024.00023%26lt%3B%5C%2Fa%26gt%3B%20%26lt%3Ba%20title%3D%26%23039%3BCite%20in%20RIS%20Format%26%23039%3B%20class%3D%26%23039%3Bzp-CiteRIS%26%23039%3B%20data-zp-cite%3D%26%23039%3Bapi_user_id%3D2570907%26amp%3Bitem_key%3DW7W449DU%26%23039%3B%20href%3D%26%23039%3Bjavascript%3Avoid%280%29%3B%26%23039%3B%26gt%3BCite%26lt%3B%5C%2Fa%26gt%3B%20%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22conferencePaper%22%2C%22title%22%3A%22Abstracted%20Trajectory%20Visualization%20for%20Explainability%20in%20Reinforcement%20Learning%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Yoshiki%22%2C%22lastName%22%3A%22Takagi%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Roderick%22%2C%22lastName%22%3A%22Tabalba%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Nurit%22%2C%22lastName%22%3A%22Kirshenbaum%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Jason%22%2C%22lastName%22%3A%22Leigh%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22proceedingsTitle%22%3A%222024%20IEEE%20Conference%20on%20Artificial%20Intelligence%20%28CAI%29%22%2C%22conferenceName%22%3A%22%22%2C%22date%22%3A%222024-06%22%2C%22eventPlace%22%3A%22%22%2C%22DOI%22%3A%2210.1109%5C%2FCAI59869.2024.00023%22%2C%22ISBN%22%3A%229798350354096%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fieeexplore.ieee.org%5C%2Fdocument%5C%2F10605289%5C%2F%22%2C%22ISSN%22%3A%22%22%2C%22language%22%3A%22%22%2C%22collections%22%3A%5B%22F3TA2FVL%22%5D%2C%22dateModified%22%3A%222025-03-18T23%3A59%3A31Z%22%7D%7D%2C%7B%22key%22%3A%22TPFNIG3J%22%2C%22library%22%3A%7B%22id%22%3A2570907%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Longman%20et%20al.%22%2C%22parsedDate%22%3A%222024-04%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%26gt%3BLongman%2C%20R.%20J.%2C%20Lucas%2C%20M.%20P.%2C%20Mclean%2C%20J.%2C%20Cleveland%2C%20S.%20B.%2C%20Kodama%2C%20K.%2C%20Frazier%2C%20A.%20G.%2C%20Kamelamela%2C%20K.%2C%20Schriber%2C%20A.%2C%20Dodge%2C%20M.%2C%20Jacobs%2C%20G.%2C%20%26amp%3B%20Giambelluca%2C%20T.%20W.%20%282024%29.%20The%20Hawai%26%23x2018%3Bi%20Climate%20Data%20Portal%20%28HCDP%29.%20%26lt%3Bi%26gt%3BBulletin%20of%20the%20American%20Meteorological%20Society%26lt%3B%5C%2Fi%26gt%3B%2C%20%26lt%3Bi%26gt%3B1%26lt%3B%5C%2Fi%26gt%3B%28aop%29.%20%26lt%3Ba%20class%3D%26%23039%3Bzp-DOIURL%26%23039%3B%20href%3D%26%23039%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1175%5C%2FBAMS-D-23-0188.1%26%23039%3B%26gt%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1175%5C%2FBAMS-D-23-0188.1%26lt%3B%5C%2Fa%26gt%3B%20%26lt%3Ba%20title%3D%26%23039%3BCite%20in%20RIS%20Format%26%23039%3B%20class%3D%26%23039%3Bzp-CiteRIS%26%23039%3B%20data-zp-cite%3D%26%23039%3Bapi_user_id%3D2570907%26amp%3Bitem_key%3DTPFNIG3J%26%23039%3B%20href%3D%26%23039%3Bjavascript%3Avoid%280%29%3B%26%23039%3B%26gt%3BCite%26lt%3B%5C%2Fa%26gt%3B%20%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22The%20Hawai%5Cu2018i%20Climate%20Data%20Portal%20%28HCDP%29%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Ryan%20J.%22%2C%22lastName%22%3A%22Longman%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Mathew%20P.%22%2C%22lastName%22%3A%22Lucas%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Jared%22%2C%22lastName%22%3A%22Mclean%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Sean%20B.%22%2C%22lastName%22%3A%22Cleveland%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Keri%22%2C%22lastName%22%3A%22Kodama%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Abby%20G.%22%2C%22lastName%22%3A%22Frazier%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Katie%22%2C%22lastName%22%3A%22Kamelamela%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Aimee%22%2C%22lastName%22%3A%22Schriber%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Michael%22%2C%22lastName%22%3A%22Dodge%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Gwen%22%2C%22lastName%22%3A%22Jacobs%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Thomas%20W.%22%2C%22lastName%22%3A%22Giambelluca%22%7D%5D%2C%22abstractNote%22%3A%22Abstract%20The%20Hawai%5Cu2018i%20Climate%20Data%20Portal%20%28HCDP%29%20is%20designed%20to%20facilitate%20streamlined%20access%20to%20a%20wide%20variety%20of%20climate%20data%20and%20information%20for%20the%20State%20of%20Hawai%5Cu2018i.%20Prior%20to%20the%20development%20of%20the%20HCDP%2C%20gridded%20climate%20products%20and%20point%20datasets%20were%20fragmented%2C%20outdated%2C%20not%20easily%20accessible%2C%20and%20not%20available%20in%20near-real-time.%20To%20address%20these%20limitations%2C%20HCDP%20researchers%20developed%20the%20cyber-infrastructure%20necessary%20to%201%29%20operationalize%20data%20acquisition%20and%20product%20production%20in%20a%20near-real-time%20environment%2C%20and%202%29%20make%20data%20and%20products%20easily%20accessible%20to%20a%20wide%20range%20of%20users.%20The%20HCDP%20hosts%20several%20high-resolution%20%28250%20m%29%20gridded%20products%20including%20monthly%20rainfall%20and%20daily%20temperature%20%28maximum%2C%20minimum%2C%20and%20mean%29%2C%20station%20data%2C%20and%20gridded%20future%20projections%20of%20rainfall%20and%20temperature.%20HCDP%20users%20can%20visualize%20both%20gridded%20and%20point%20data%2C%20create%20and%20download%20custom%20maps%2C%20and%20query%20station%20and%20gridded%20data%20for%20export%20with%20relative%20ease.%20The%20%5Cu201cvirtual%20station%5Cu201d%20feature%20allows%20users%20to%20create%20a%20climate%20time%20series%20at%20any%20grid%20point.%20The%20primary%20objective%20of%20the%20HCDP%20is%20to%20promote%20sharing%20and%20access%20to%20data%20and%20information%20to%20streamline%20research%20activities%2C%20improve%20awareness%2C%20and%20promote%20the%20development%20of%20tools%20and%20resources%20that%20can%20help%20to%20build%20adaptive%20capacities.%20The%20HCDP%20products%20have%20the%20potential%20to%20serve%20a%20wide%20range%20of%20users%20including%20researchers%2C%20resource%20managers%2C%20city%20planners%2C%20engineers%2C%20teachers%2C%20students%2C%20civil%20society%20organizations%2C%20and%20the%20broader%20community.%22%2C%22date%22%3A%222024-04%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.1175%5C%2FBAMS-D-23-0188.1%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fjournals.ametsoc.org%5C%2Fview%5C%2Fjournals%5C%2Fbams%5C%2Faop%5C%2FBAMS-D-23-0188.1%5C%2FBAMS-D-23-0188.1.xml%22%2C%22PMID%22%3A%22%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%220003-0007%2C%201520-0477%22%2C%22language%22%3A%22EN%22%2C%22collections%22%3A%5B%22F3TA2FVL%22%5D%2C%22dateModified%22%3A%222025-03-18T23%3A59%3A31Z%22%7D%7D%2C%7B%22key%22%3A%22YLIDCZNA%22%2C%22library%22%3A%7B%22id%22%3A2570907%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Ware%20et%20al.%22%2C%22parsedDate%22%3A%222022-06%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%26gt%3BWare%2C%20I.%20M.%2C%20Ostertag%2C%20R.%2C%20Cordell%2C%20S.%2C%20Giardina%2C%20C.%20P.%2C%20Sack%2C%20L.%2C%20Medeiros%2C%20C.%20D.%2C%20Inman%2C%20F.%2C%20Litton%2C%20C.%20M.%2C%20Giambelluca%2C%20T.%2C%20John%2C%20G.%20P.%2C%20%26amp%3B%20Scoffoni%2C%20C.%20%282022%29.%20Multi-Stemmed%20Habit%20in%20Trees%20Contributes%20Climate%20Resilience%20in%20Tropical%20Dry%20Forest.%20%26lt%3Bi%26gt%3BSustainability%26lt%3B%5C%2Fi%26gt%3B%2C%20%26lt%3Bi%26gt%3B14%26lt%3B%5C%2Fi%26gt%3B%2811%29%2C%206779.%20%26lt%3Ba%20class%3D%26%23039%3Bzp-DOIURL%26%23039%3B%20href%3D%26%23039%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.3390%5C%2Fsu14116779%26%23039%3B%26gt%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.3390%5C%2Fsu14116779%26lt%3B%5C%2Fa%26gt%3B%20%26lt%3Ba%20title%3D%26%23039%3BCite%20in%20RIS%20Format%26%23039%3B%20class%3D%26%23039%3Bzp-CiteRIS%26%23039%3B%20data-zp-cite%3D%26%23039%3Bapi_user_id%3D2570907%26amp%3Bitem_key%3DYLIDCZNA%26%23039%3B%20href%3D%26%23039%3Bjavascript%3Avoid%280%29%3B%26%23039%3B%26gt%3BCite%26lt%3B%5C%2Fa%26gt%3B%20%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Multi-Stemmed%20Habit%20in%20Trees%20Contributes%20Climate%20Resilience%20in%20Tropical%20Dry%20Forest%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Ian%20M.%22%2C%22lastName%22%3A%22Ware%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Rebecca%22%2C%22lastName%22%3A%22Ostertag%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Susan%22%2C%22lastName%22%3A%22Cordell%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Christian%20P.%22%2C%22lastName%22%3A%22Giardina%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Lawren%22%2C%22lastName%22%3A%22Sack%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Camila%20D.%22%2C%22lastName%22%3A%22Medeiros%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Faith%22%2C%22lastName%22%3A%22Inman%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Creighton%20M.%22%2C%22lastName%22%3A%22Litton%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Thomas%22%2C%22lastName%22%3A%22Giambelluca%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Grace%20P.%22%2C%22lastName%22%3A%22John%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Christine%22%2C%22lastName%22%3A%22Scoffoni%22%7D%5D%2C%22abstractNote%22%3A%22Understanding%20how%20environmental%20adaptations%20mediate%20plant%20and%20ecosystem%20responses%20becomes%20increasingly%20important%20under%20accelerating%20global%20environmental%20change.%20Multi-stemmed%20trees%2C%20for%20example%2C%20differ%20in%20form%20and%20function%20from%20single-stemmed%20trees%20and%20may%20possess%20physiological%20advantages%20that%20allow%20for%20persistence%20during%20stressful%20climatic%20events%20such%20as%20extended%20drought.%20Following%20the%20worst%20drought%20in%20Hawaii%20in%20a%20century%2C%20we%20examined%20patterns%20of%20stem%20abundance%20and%20turnover%20in%20a%20Hawaiian%20lowland%20dry%20forest%20%28LDF%29%20and%20a%20montane%20wet%20forest%20%28MWF%29%20to%20investigate%20how%20multi-stemmed%20trees%20might%20influence%20site%20persistence%2C%20and%20how%20stem%20abundance%20and%20turnover%20relate%20to%20key%20functional%20traits.%20We%20found%20stem%20abundance%20and%20multi-stemmed%20trees%20to%20be%20an%20important%20component%20for%20climate%20resilience%20within%20the%20LDF.%20The%20LDF%20had%20higher%20relative%20abundance%20of%20multi-stemmed%20trees%2C%20stem%20abundance%2C%20and%20mean%20stem%20abundance%20compared%20to%20a%20reference%20MWF.%20Within%20the%20LDF%2C%20multi-stemmed%20trees%20had%20higher%20relative%20stem%20abundance%20%28i.e.%2C%20percent%20composition%20of%20stems%20to%20the%20total%20number%20of%20stems%20in%20the%20LDF%29%20and%20higher%20estimated%20aboveground%20carbon%20than%20single-stemmed%20trees.%20Stem%20abundance%20varied%20among%20species%20and%20tree%20size%20classes.%20Stem%20turnover%20%28i.e.%2C%20change%20in%20stem%20abundance%20between%20five-year%20censuses%29%20varied%20among%20species%20and%20tree%20size%20classes%20and%20species%20mean%20stem%20turnover%20was%20correlated%20with%20mean%20species%20stem%20abundance%20per%20tree.%20At%20the%20plot%20level%2C%20stem%20abundance%20per%20tree%20is%20also%20a%20predictor%20of%20survival%2C%20though%20mortality%20did%20not%20differ%20between%20multiple-%20and%20single-stemmed%20trees.%20Lastly%2C%20species%20with%20higher%20mean%20stem%20abundance%20per%20tree%20tended%20to%20have%20traits%20associated%20with%20a%20higher%20light-saturated%20photosynthetic%20rate%2C%20suggesting%20greater%20productivity%20in%20periods%20with%20higher%20water%20supply.%20Identifying%20the%20traits%20that%20allow%20species%20and%20forest%20communities%20to%20persist%20in%20dry%20environments%20or%20respond%20to%20disturbance%20is%20useful%20for%20forecasting%20ecological%20climate%20resilience%20or%20potential%20for%20restoration%20in%20tropical%20dry%20forests.%22%2C%22date%22%3A%222022-06%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.3390%5C%2Fsu14116779%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fwww.mdpi.com%5C%2F2071-1050%5C%2F14%5C%2F11%5C%2F6779%22%2C%22PMID%22%3A%22%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%222071-1050%22%2C%22language%22%3A%22en%22%2C%22collections%22%3A%5B%22F3TA2FVL%22%5D%2C%22dateModified%22%3A%222025-03-18T23%3A57%3A33Z%22%7D%7D%2C%7B%22key%22%3A%22EJHYUP24%22%2C%22library%22%3A%7B%22id%22%3A2570907%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Huang%20et%20al.%22%2C%22parsedDate%22%3A%222022-06%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%26gt%3BHuang%2C%20Y.-F.%2C%20Gayte%2C%20M.%2C%20Tsang%2C%20Y.%2C%20Longman%2C%20R.%20J.%2C%20Nugent%2C%20A.%20D.%2C%20Kodama%2C%20K.%2C%20Lucas%2C%20M.%20P.%2C%20%26amp%3B%20Giambelluca%2C%20T.%20W.%20%282022%29.%20Hourly%20rainfall%20data%20from%20rain%20gauge%20networks%20and%20weather%20radar%20up%20to%202020%20across%20the%20Hawaiian%20Islands.%20%26lt%3Bi%26gt%3BScientific%20Data%26lt%3B%5C%2Fi%26gt%3B%2C%20%26lt%3Bi%26gt%3B9%26lt%3B%5C%2Fi%26gt%3B%281%29%2C%20334.%20%26lt%3Ba%20class%3D%26%23039%3Bzp-DOIURL%26%23039%3B%20href%3D%26%23039%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1038%5C%2Fs41597-022-01430-2%26%23039%3B%26gt%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1038%5C%2Fs41597-022-01430-2%26lt%3B%5C%2Fa%26gt%3B%20%26lt%3Ba%20title%3D%26%23039%3BCite%20in%20RIS%20Format%26%23039%3B%20class%3D%26%23039%3Bzp-CiteRIS%26%23039%3B%20data-zp-cite%3D%26%23039%3Bapi_user_id%3D2570907%26amp%3Bitem_key%3DEJHYUP24%26%23039%3B%20href%3D%26%23039%3Bjavascript%3Avoid%280%29%3B%26%23039%3B%26gt%3BCite%26lt%3B%5C%2Fa%26gt%3B%20%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Hourly%20rainfall%20data%20from%20rain%20gauge%20networks%20and%20weather%20radar%20up%20to%202020%20across%20the%20Hawaiian%20Islands%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Yu-Fen%22%2C%22lastName%22%3A%22Huang%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Maxime%22%2C%22lastName%22%3A%22Gayte%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Yinphan%22%2C%22lastName%22%3A%22Tsang%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Ryan%20J.%22%2C%22lastName%22%3A%22Longman%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alison%20D.%22%2C%22lastName%22%3A%22Nugent%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Kevin%22%2C%22lastName%22%3A%22Kodama%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Mathew%20P.%22%2C%22lastName%22%3A%22Lucas%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Thomas%20W.%22%2C%22lastName%22%3A%22Giambelluca%22%7D%5D%2C%22abstractNote%22%3A%22Abstract%20With%20increasing%20needs%20for%20understanding%20historic%20climatic%20events%20and%20assessing%20changes%20in%20extreme%20weather%20to%20support%20natural%20hazard%20planning%20and%20infrastructure%20design%2C%20it%20is%20vital%20to%20have%20an%20accurate%20long-term%20hourly%20rainfall%20dataset.%20In%20Hawai%5Cu02bbi%2C%20annual%2C%20monthly%2C%20and%20daily%20gauge%20data%20have%20been%20well-compiled%20and%20are%20accessible.%20Here%2C%20we%20compiled%20hourly%20rainfall%20data%20from%20both%20gauges%20and%20radars.%20We%20arranged%20the%20metadata%20from%20various%20data%20sources%2C%20acquired%20data%2C%20and%20applied%20quality%20control%20to%20each%20gauge%20dataset.%20In%20addition%2C%20we%20compiled%20and%20provided%20hourly%20radar%20rainfall%2C%20and%20filtered%20out%20areas%20with%20low%20confidence%20%28larger%20error%29.%20This%20paper%20provides%20%281%29%20a%20summary%20of%20available%20hourly%20data%20from%20various%20observation%20networks%2C%20%282%29%20293-gauge%20rainfall%20data%20from%20their%20installation%20date%20to%20the%20end%20of%202020%2C%20and%20%283%29%20a%205-year%200.005%5Cu00b0%20by%200.005%5Cu00b0%20%28%5C%5Ctextasciitilde250%20%5Cu00d7%20250%20m%202%20%29%20gridded%20radar%20rainfall%20dataset%20between%202016%20and%202020%20across%20the%20Hawaiian%20Islands.%22%2C%22date%22%3A%222022-06%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.1038%5C%2Fs41597-022-01430-2%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fwww.nature.com%5C%2Farticles%5C%2Fs41597-022-01430-2%22%2C%22PMID%22%3A%22%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%222052-4463%22%2C%22language%22%3A%22en%22%2C%22collections%22%3A%5B%22F3TA2FVL%22%5D%2C%22dateModified%22%3A%222025-03-18T23%3A57%3A33Z%22%7D%7D%2C%7B%22key%22%3A%222675XSTZ%22%2C%22library%22%3A%7B%22id%22%3A2570907%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Valdez%20et%20al.%22%2C%22parsedDate%22%3A%222023-07%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%26gt%3BValdez%2C%20D.%2C%20Bunnell%2C%20A.%2C%20Lim%2C%20S.%20Y.%2C%20Sadowski%2C%20P.%2C%20%26amp%3B%20Shepherd%2C%20J.%20A.%20%282023%29.%20%26lt%3Bi%26gt%3BPerformance%20of%20progressive%20generations%20of%20GPT%20on%20an%20exam%20designed%20for%20certifying%20physicians%20as%20Certified%20Clinical%20Densitometrists%26lt%3B%5C%2Fi%26gt%3B.%20https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1101%5C%2F2023.07.25.23293171%20%26lt%3Ba%20title%3D%26%23039%3BCite%20in%20RIS%20Format%26%23039%3B%20class%3D%26%23039%3Bzp-CiteRIS%26%23039%3B%20data-zp-cite%3D%26%23039%3Bapi_user_id%3D2570907%26amp%3Bitem_key%3D2675XSTZ%26%23039%3B%20href%3D%26%23039%3Bjavascript%3Avoid%280%29%3B%26%23039%3B%26gt%3BCite%26lt%3B%5C%2Fa%26gt%3B%20%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22document%22%2C%22title%22%3A%22Performance%20of%20progressive%20generations%20of%20GPT%20on%20an%20exam%20designed%20for%20certifying%20physicians%20as%20Certified%20Clinical%20Densitometrists%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Dustin%22%2C%22lastName%22%3A%22Valdez%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Arianna%22%2C%22lastName%22%3A%22Bunnell%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Sian%20Y.%22%2C%22lastName%22%3A%22Lim%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Peter%22%2C%22lastName%22%3A%22Sadowski%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22John%20A.%22%2C%22lastName%22%3A%22Shepherd%22%7D%5D%2C%22abstractNote%22%3A%22ABSTRACT%20Background%20Artificial%20intelligence%20%28AI%29%20large%20language%20models%20%28LLMs%29%20such%20as%20ChatGPT%20have%20demonstrated%20the%20ability%20to%20pass%20standardized%20exams.%20These%20models%20are%20not%20trained%20for%20a%20specific%20task%2C%20but%20instead%20trained%20to%20predict%20sequences%20of%20text%20from%20large%20corpora%20of%20documents%20sourced%20from%20the%20internet.%20It%20has%20been%20shown%20that%20even%20models%20trained%20on%20this%20general%20task%20can%20pass%20exams%20in%20a%20variety%20of%20domain-specific%20fields%2C%20including%20the%20United%20States%20Medical%20Licensing%20Examination.%20We%20asked%20if%20LLMs%20would%20perform%20as%20well%20on%20a%20much%20narrower%20subdomain%20tests%20designed%20for%20medical%20specialists.%20Furthermore%2C%20we%20wanted%20to%20better%20understand%20how%20progressive%20generations%20of%20GPT%20%28generative%20pre-trained%20transformer%29%20models%20may%20be%20evolving%20in%20the%20completeness%20and%20sophistication%20of%20their%20responses%20even%20while%20generational%20training%20remains%20general.%20In%20this%20study%2C%20we%20evaluated%20the%20performance%20of%20two%20versions%20of%20GPT%20%28GPT%203%20and%204%29%20on%20their%20ability%20to%20pass%20the%20certification%20exam%20given%20to%20physicians%20to%20work%20as%20osteoporosis%20specialists%20and%20become%20a%20certified%20clinical%20densitometrists.%20Methods%20A%20100-question%20multiple-choice%20practice%20exam%20was%20obtained%20from%20a%203%20rd%20party%20exam%20preparation%20website%20that%20mimics%20the%20accredited%20certification%20tests%20given%20by%20the%20ISCD%20%28international%20society%20for%20clinical%20densitometry%29.%20The%20exam%20was%20administered%20to%20two%20versions%20of%20GPT%2C%20the%20free%20version%20%28GPT%20Playground%29%20and%20ChatGPT%2B%2C%20which%20are%20based%20on%20GPT-3%20and%20GPT-4%2C%20respectively%20%28OpenAI%2C%20San%20Francisco%2C%20CA%29.%20The%20systems%20were%20prompted%20with%20the%20exam%20questions%20verbatim.%20If%20the%20response%20was%20purely%20textual%20and%20did%20not%20specify%20which%20of%20the%20multiple-choice%20answers%20to%20select%2C%20the%20authors%20matched%20the%20text%20to%20the%20closest%20answer.%20Each%20exam%20was%20graded%20and%20an%20estimated%20ISCD%20score%20was%20provided%20from%20the%20exam%20website.%20In%20addition%2C%20each%20response%20was%20evaluated%20by%20a%20rheumatologist%20CCD%20and%20ranked%20for%20accuracy%20using%20a%205-level%20scale.%20The%20two%20GPT%20versions%20were%20compared%20in%20terms%20of%20response%20accuracy%20and%20length.%20Results%20The%20average%20response%20length%20was%2011.6%20%5Cu00b119%20words%20for%20GPT-3%20and%2050.0%5Cu00b143.6%20words%20for%20GPT-4.%20GPT-3%20answered%2062%20questions%20correctly%20resulting%20in%20a%20failing%20ISCD%20score%20of%20289.%20However%2C%20GPT-4%20answered%2082%20questions%20correctly%20with%20a%20passing%20score%20of%20342.%20GPT-3%20scored%20highest%20on%20the%20%5Cu201cOverview%20of%20Low%20Bone%20Mass%20and%20Osteoporosis%5Cu201d%20category%20%2872%25%20correct%29%20while%20GPT-4%20scored%20well%20above%2080%25%20accuracy%20on%20all%20categories%20except%20%5Cu201cImaging%20Technology%20in%20Bone%20Health%5Cu201d%20%2865%25%20correct%29.%20Regarding%20subjective%20accuracy%2C%20GPT-3%20answered%2023%20questions%20with%20nonsensical%20or%20totally%20wrong%20responses%20while%20GPT-4%20had%20no%20responses%20in%20that%20category.%20Conclusion%20If%20this%20had%20been%20an%20actual%20certification%20exam%2C%20GPT-4%20would%20now%20have%20a%20CCD%20suffix%20to%20its%20name%20even%20after%20being%20trained%20using%20general%20internet%20knowledge.%20Clearly%2C%20more%20goes%20into%20physician%20training%20than%20can%20be%20captured%20in%20this%20exam.%20However%2C%20GPT%20algorithms%20may%20prove%20to%20be%20valuable%20physician%20aids%20in%20the%20diagnoses%20and%20monitoring%20of%20osteoporosis%20and%20other%20diseases.%22%2C%22type%22%3A%22%22%2C%22date%22%3A%222023-07%22%2C%22DOI%22%3A%22%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22http%3A%5C%2F%5C%2Fmedrxiv.org%5C%2Flookup%5C%2Fdoi%5C%2F10.1101%5C%2F2023.07.25.23293171%22%2C%22language%22%3A%22en%22%2C%22collections%22%3A%5B%22F3TA2FVL%22%5D%2C%22dateModified%22%3A%222025-03-18T23%3A57%3A33Z%22%7D%7D%2C%7B%22key%22%3A%22DGDUQW6H%22%2C%22library%22%3A%7B%22id%22%3A2570907%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Mizukami%20et%20al.%22%2C%22parsedDate%22%3A%222022-08%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%26gt%3BMizukami%2C%20N.%2C%20Newman%2C%20A.%20J.%2C%20Littell%2C%20J.%20S.%2C%20Giambelluca%2C%20T.%20W.%2C%20Wood%2C%20A.%20W.%2C%20Gutmann%2C%20E.%20D.%2C%20Hamman%2C%20J.%20J.%2C%20Gergel%2C%20D.%20R.%2C%20Nijssen%2C%20B.%2C%20Clark%2C%20M.%20P.%2C%20%26amp%3B%20Arnold%2C%20J.%20R.%20%282022%29.%20New%20projections%20of%2021st%20century%20climate%20and%20hydrology%20for%20Alaska%20and%20Hawai%26%23x2BB%3Bi.%20%26lt%3Bi%26gt%3BClimate%20Services%26lt%3B%5C%2Fi%26gt%3B%2C%20%26lt%3Bi%26gt%3B27%26lt%3B%5C%2Fi%26gt%3B%2C%20100312.%20%26lt%3Ba%20class%3D%26%23039%3Bzp-DOIURL%26%23039%3B%20href%3D%26%23039%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1016%5C%2Fj.cliser.2022.100312%26%23039%3B%26gt%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1016%5C%2Fj.cliser.2022.100312%26lt%3B%5C%2Fa%26gt%3B%20%26lt%3Ba%20title%3D%26%23039%3BCite%20in%20RIS%20Format%26%23039%3B%20class%3D%26%23039%3Bzp-CiteRIS%26%23039%3B%20data-zp-cite%3D%26%23039%3Bapi_user_id%3D2570907%26amp%3Bitem_key%3DDGDUQW6H%26%23039%3B%20href%3D%26%23039%3Bjavascript%3Avoid%280%29%3B%26%23039%3B%26gt%3BCite%26lt%3B%5C%2Fa%26gt%3B%20%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22New%20projections%20of%2021st%20century%20climate%20and%20hydrology%20for%20Alaska%20and%20Hawai%5Cu02bbi%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Naoki%22%2C%22lastName%22%3A%22Mizukami%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Andrew%20J.%22%2C%22lastName%22%3A%22Newman%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Jeremy%20S.%22%2C%22lastName%22%3A%22Littell%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Thomas%20W.%22%2C%22lastName%22%3A%22Giambelluca%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Andrew%20W.%22%2C%22lastName%22%3A%22Wood%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Ethan%20D.%22%2C%22lastName%22%3A%22Gutmann%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Joseph%20J.%22%2C%22lastName%22%3A%22Hamman%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Diana%20R.%22%2C%22lastName%22%3A%22Gergel%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Bart%22%2C%22lastName%22%3A%22Nijssen%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Martyn%20P.%22%2C%22lastName%22%3A%22Clark%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Jeffrey%20R.%22%2C%22lastName%22%3A%22Arnold%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22date%22%3A%222022-08%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.1016%5C%2Fj.cliser.2022.100312%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Flinkinghub.elsevier.com%5C%2Fretrieve%5C%2Fpii%5C%2FS2405880722000309%22%2C%22PMID%22%3A%22%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%2224058807%22%2C%22language%22%3A%22en%22%2C%22collections%22%3A%5B%22F3TA2FVL%22%5D%2C%22dateModified%22%3A%222025-03-18T23%3A57%3A33Z%22%7D%7D%2C%7B%22key%22%3A%22BQ4IZGNX%22%2C%22library%22%3A%7B%22id%22%3A2570907%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Belcaid%20et%20al.%22%2C%22parsedDate%22%3A%222023-03%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%26gt%3BBelcaid%2C%20M.%2C%20Leigh%2C%20J.%2C%20Theriot%2C%20R.%2C%20Kirshenbaum%2C%20N.%2C%20Tabalba%2C%20R.%2C%20Rogers%2C%20M.%2C%20Johnson%2C%20A.%2C%20Brown%2C%20M.%2C%20Renambot%2C%20L.%2C%20Long%2C%20L.%2C%20Nishimoto%2C%20A.%2C%20North%2C%20C.%2C%20%26amp%3B%20Harden%2C%20J.%20%282023%29.%20Reflecting%20on%20the%20Scalable%20Adaptive%20Graphics%20Environment%20Team%26%23x2019%3Bs%2020-Year%20Translational%20Research%20Endeavor%20in%20Digital%20Collaboration%20Tools.%20%26lt%3Bi%26gt%3BComputing%20in%20Science%20%26amp%3B%20Engineering%26lt%3B%5C%2Fi%26gt%3B%2C%20%26lt%3Bi%26gt%3B25%26lt%3B%5C%2Fi%26gt%3B%282%29%2C%2050%26%23x2013%3B56.%20%26lt%3Ba%20class%3D%26%23039%3Bzp-DOIURL%26%23039%3B%20href%3D%26%23039%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1109%5C%2FMCSE.2023.3297753%26%23039%3B%26gt%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1109%5C%2FMCSE.2023.3297753%26lt%3B%5C%2Fa%26gt%3B%20%26lt%3Ba%20title%3D%26%23039%3BCite%20in%20RIS%20Format%26%23039%3B%20class%3D%26%23039%3Bzp-CiteRIS%26%23039%3B%20data-zp-cite%3D%26%23039%3Bapi_user_id%3D2570907%26amp%3Bitem_key%3DBQ4IZGNX%26%23039%3B%20href%3D%26%23039%3Bjavascript%3Avoid%280%29%3B%26%23039%3B%26gt%3BCite%26lt%3B%5C%2Fa%26gt%3B%20%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Reflecting%20on%20the%20Scalable%20Adaptive%20Graphics%20Environment%20Team%5Cu2019s%2020-Year%20Translational%20Research%20Endeavor%20in%20Digital%20Collaboration%20Tools%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Mahdi%22%2C%22lastName%22%3A%22Belcaid%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Jason%22%2C%22lastName%22%3A%22Leigh%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Ryan%22%2C%22lastName%22%3A%22Theriot%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Nurit%22%2C%22lastName%22%3A%22Kirshenbaum%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Roderick%22%2C%22lastName%22%3A%22Tabalba%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Michael%22%2C%22lastName%22%3A%22Rogers%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Andrew%22%2C%22lastName%22%3A%22Johnson%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Maxine%22%2C%22lastName%22%3A%22Brown%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Luc%22%2C%22lastName%22%3A%22Renambot%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Lance%22%2C%22lastName%22%3A%22Long%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Arthur%22%2C%22lastName%22%3A%22Nishimoto%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Chris%22%2C%22lastName%22%3A%22North%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Jesse%22%2C%22lastName%22%3A%22Harden%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22date%22%3A%222023-03%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.1109%5C%2FMCSE.2023.3297753%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fieeexplore.ieee.org%5C%2Fdocument%5C%2F10231024%5C%2F%22%2C%22PMID%22%3A%22%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%221521-9615%2C%201558-366X%22%2C%22language%22%3A%22%22%2C%22collections%22%3A%5B%22F3TA2FVL%22%5D%2C%22dateModified%22%3A%222025-03-18T23%3A57%3A33Z%22%7D%7D%2C%7B%22key%22%3A%228TKLPUBG%22%2C%22library%22%3A%7B%22id%22%3A2570907%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Kodama%20et%20al.%22%2C%22parsedDate%22%3A%222024-01%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%26gt%3BKodama%2C%20K.%20M.%2C%20Kourkchi%2C%20E.%2C%20Longman%2C%20R.%20J.%2C%20Lucas%2C%20M.%20P.%2C%20Bateni%2C%20S.%20M.%2C%20Huang%2C%20Y.%2C%20Kagawa%26%23x2010%3BViviani%2C%20A.%2C%20Mclean%2C%20J.%2C%20Cleveland%2C%20S.%20B.%2C%20%26amp%3B%20Giambelluca%2C%20T.%20W.%20%282024%29.%20Mapping%20Daily%20Air%20Temperature%20Over%20the%20Hawaiian%20Islands%20From%201990%20to%202021%20via%20an%20Optimized%20Piecewise%20Linear%20Regression%20Technique.%20%26lt%3Bi%26gt%3BEarth%20and%20Space%20Science%26lt%3B%5C%2Fi%26gt%3B%2C%20%26lt%3Bi%26gt%3B11%26lt%3B%5C%2Fi%26gt%3B%281%29%2C%20e2023EA002851.%20%26lt%3Ba%20class%3D%26%23039%3Bzp-DOIURL%26%23039%3B%20href%3D%26%23039%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1029%5C%2F2023EA002851%26%23039%3B%26gt%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1029%5C%2F2023EA002851%26lt%3B%5C%2Fa%26gt%3B%20%26lt%3Ba%20title%3D%26%23039%3BCite%20in%20RIS%20Format%26%23039%3B%20class%3D%26%23039%3Bzp-CiteRIS%26%23039%3B%20data-zp-cite%3D%26%23039%3Bapi_user_id%3D2570907%26amp%3Bitem_key%3D8TKLPUBG%26%23039%3B%20href%3D%26%23039%3Bjavascript%3Avoid%280%29%3B%26%23039%3B%26gt%3BCite%26lt%3B%5C%2Fa%26gt%3B%20%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Mapping%20Daily%20Air%20Temperature%20Over%20the%20Hawaiian%20Islands%20From%201990%20to%202021%20via%20an%20Optimized%20Piecewise%20Linear%20Regression%20Technique%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Keri%20M.%22%2C%22lastName%22%3A%22Kodama%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Ehsan%22%2C%22lastName%22%3A%22Kourkchi%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Ryan%20J.%22%2C%22lastName%22%3A%22Longman%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Matthew%20P.%22%2C%22lastName%22%3A%22Lucas%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Sayed%20M.%22%2C%22lastName%22%3A%22Bateni%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Yu%5Cu2010Fen%22%2C%22lastName%22%3A%22Huang%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Aurora%22%2C%22lastName%22%3A%22Kagawa%5Cu2010Viviani%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Jared%22%2C%22lastName%22%3A%22Mclean%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Sean%20B.%22%2C%22lastName%22%3A%22Cleveland%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Thomas%20W.%22%2C%22lastName%22%3A%22Giambelluca%22%7D%5D%2C%22abstractNote%22%3A%22Abstract%20Gridded%20air%20temperature%20data%20are%20required%20in%20various%20fields%20such%20as%20ecological%20modeling%2C%20weather%20forecasting%2C%20and%20surface%20energy%20balance%20assessment.%20In%20this%20work%2C%20a%20piecewise%20multiple%20linear%20regression%20model%20is%20used%20to%20produce%20high%5Cu2010resolution%20%28250%20m%29%20daily%20maximum%20%28%20T%20max%20%29%2C%20minimum%20%28%20T%20min%20%29%2C%20and%20mean%20%28%20T%20mean%20%29%20near%5Cu2010surface%20air%20temperature%20maps%20for%20the%20State%20of%20Hawai%5Cu02bbi%20for%20a%2032%5Cu2010year%20period%20%281990%5Cu20132021%29.%20Multiple%20meteorological%20and%20geographical%20variables%20such%20as%20the%20elevation%2C%20daily%20rainfall%2C%20coastal%20distance%20index%2C%20leaf%20area%20index%2C%20albedo%2C%20topographic%20position%20index%2C%20and%20wind%20speed%20are%20independently%20tested%20to%20determine%20the%20most%20well%5Cu2010suited%20predictor%20variables%20for%20optimal%20model%20performance.%20During%20the%20mapping%20process%2C%20input%20data%20scarcity%20is%20addressed%20first%20by%20gap%5Cu2010filling%20critical%20stations%20at%20high%20elevation%20using%20a%20predetermined%20linear%20relationship%20with%20other%20strongly%5Cu2010correlated%20stations%2C%20and%20second%2C%20by%20supplementing%20the%20training%20dataset%20with%20station%20data%20from%20neighboring%20islands.%20Despite%20the%20numerous%20covariates%20physically%20linked%20to%20temperature%2C%20the%20most%20parsimonious%20model%20selection%20uses%20elevation%20as%20its%20sole%20predictor%2C%20and%20the%20inclusion%20of%20the%20additional%20variables%20results%20in%20increased%20cross%5Cu2010validation%20errors.%20The%20mean%20absolute%20error%20of%20resultant%20estimated%20T%20max%20and%20T%20min%20maps%20over%20the%20Hawaiian%20Islands%20from%201990%20to%202021%20is%201.7%5Cu00b0C%20and%201.3%5Cu00b0C%2C%20respectively.%20Corresponding%20bias%20values%20are%200.01%5Cu00b0C%20and%20%5Cu22120.13%5Cu00b0C%2C%20respectively%20for%20the%20same%20variables.%20Overall%2C%20the%20results%20show%20the%20proposed%20methodology%20can%20robustly%20generate%20daily%20air%20temperature%20maps%20from%20point%5Cu2010scale%20measurements%20over%20complex%20topography.%20%2C%20Plain%20Language%20Summary%20Uniformly%20gridded%20maps%20of%20daily%20air%20temperature%20are%20a%20valuable%20resource%20for%20scientific%20research%2C%20resource%20management%2C%20and%20environmental%20education%20and%20awareness.%20However%2C%20there%20are%20numerous%20challenges%20to%20producing%20these%20maps%20in%20the%20State%20of%20Hawai%26%23039%3Bi%2C%20including%20the%20steep%20changes%20in%20terrain%2C%20and%20the%20relatively%20limited%20availability%20of%20weather%20data%20measurements%20on%20which%20the%20maps%20are%20based.%20To%20account%20for%20these%20challenges%2C%20the%20daily%20air%20temperature%20maps%20are%20modeled%20based%20on%20other%20variables%20physically%20linked%20to%20temperature%2C%20such%20as%20elevation%20or%20rainfall%2C%20which%20are%20used%20as%20independent%20variables%20to%20predict%20the%20temperature%20values.%20After%20testing%20numerous%20combinations%20of%20variables%2C%20it%20was%20found%20that%20the%20simplest%20model%20using%20only%20elevation%20as%20the%20predictor%20is%20the%20most%20efficient%20combination%20with%20respect%20to%20balancing%20lower%20prediction%20errors%20with%20model%20complexity.%20Excluding%20outliers%20and%20filling%20in%20missing%20data%20gaps%20in%20the%20input%20data%20is%20also%20found%20to%20be%20critical%20to%20producing%20quality%20temperature%20maps.%20This%20modeling%20method%20is%20used%20to%20create%20a%20series%20of%20daily%20maximum%2C%20minimum%2C%20and%20mean%20temperature%20maps%20from%201990%20to%202021%2C%20making%20it%20the%20most%20up%5Cu2010to%5Cu2010date%20record%20of%20gridded%20temperature%20for%20Hawai%26%23039%3Bi.%20%2C%20Key%20Points%20Numerous%20unique%20challenges%20exist%20for%20estimating%20gridded%20air%20temperature%20in%20the%20State%20of%20Hawaii%20Daily%20temperature%20maps%20from%201990%20to%202021%20created%20for%20State%20of%20Hawaii%20using%20a%20piecewise%20linear%20model%20Elevation%20covariate%20alone%20is%20sufficient%20to%20estimate%20temperature%20and%20quality%20control%20of%20input%20data%20are%20critical%20to%20the%20modeling%20process%22%2C%22date%22%3A%222024-01%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.1029%5C%2F2023EA002851%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fagupubs.onlinelibrary.wiley.com%5C%2Fdoi%5C%2F10.1029%5C%2F2023EA002851%22%2C%22PMID%22%3A%22%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%222333-5084%2C%202333-5084%22%2C%22language%22%3A%22en%22%2C%22collections%22%3A%5B%22F3TA2FVL%22%5D%2C%22dateModified%22%3A%222025-03-18T23%3A57%3A32Z%22%7D%7D%2C%7B%22key%22%3A%226M6V5JK7%22%2C%22library%22%3A%7B%22id%22%3A2570907%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Schanzenbach%20et%20al.%22%2C%22parsedDate%22%3A%222023-07%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%26gt%3BSchanzenbach%2C%20D.%2C%20Merrill%2C%20R.%2C%20Cleveland%2C%20S.%2C%20%26amp%3B%20Jacobs%2C%20G.%20%282023%29.%20Integrated%20Advanced%20Computing%20Management%20Interface%20%28IACMI%29%3A%20A%20Web%20Portal%20to%20Democratize%20HPC%20Management.%20%26lt%3Bi%26gt%3BPractice%20and%20Experience%20in%20Advanced%20Research%20Computing%26lt%3B%5C%2Fi%26gt%3B%2C%20328%26%23x2013%3B331.%20%26lt%3Ba%20class%3D%26%23039%3Bzp-DOIURL%26%23039%3B%20href%3D%26%23039%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1145%5C%2F3569951.3597568%26%23039%3B%26gt%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1145%5C%2F3569951.3597568%26lt%3B%5C%2Fa%26gt%3B%20%26lt%3Ba%20title%3D%26%23039%3BCite%20in%20RIS%20Format%26%23039%3B%20class%3D%26%23039%3Bzp-CiteRIS%26%23039%3B%20data-zp-cite%3D%26%23039%3Bapi_user_id%3D2570907%26amp%3Bitem_key%3D6M6V5JK7%26%23039%3B%20href%3D%26%23039%3Bjavascript%3Avoid%280%29%3B%26%23039%3B%26gt%3BCite%26lt%3B%5C%2Fa%26gt%3B%20%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22conferencePaper%22%2C%22title%22%3A%22Integrated%20Advanced%20Computing%20Management%20Interface%20%28IACMI%29%3A%20A%20Web%20Portal%20to%20Democratize%20HPC%20Management%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22David%22%2C%22lastName%22%3A%22Schanzenbach%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Ronald%22%2C%22lastName%22%3A%22Merrill%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Sean%22%2C%22lastName%22%3A%22Cleveland%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Gwen%22%2C%22lastName%22%3A%22Jacobs%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22proceedingsTitle%22%3A%22Practice%20and%20Experience%20in%20Advanced%20Research%20Computing%22%2C%22conferenceName%22%3A%22%22%2C%22date%22%3A%222023-07%22%2C%22eventPlace%22%3A%22%22%2C%22DOI%22%3A%2210.1145%5C%2F3569951.3597568%22%2C%22ISBN%22%3A%22978-1-4503-9985-2%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fdl.acm.org%5C%2Fdoi%5C%2F10.1145%5C%2F3569951.3597568%22%2C%22ISSN%22%3A%22%22%2C%22language%22%3A%22en%22%2C%22collections%22%3A%5B%22F3TA2FVL%22%5D%2C%22dateModified%22%3A%222025-03-18T23%3A57%3A32Z%22%7D%7D%2C%7B%22key%22%3A%22LBW33FUF%22%2C%22library%22%3A%7B%22id%22%3A2570907%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Merrill%20et%20al.%22%2C%22parsedDate%22%3A%222023-07%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%26gt%3BMerrill%2C%20R.%2C%20Schanzenbach%2C%20D.%2C%20Cleveland%2C%20S.%20B.%2C%20%26amp%3B%20Jacobs%2C%20G.%20A.%20%282023%29.%20Mana%20-%20Bringing%20Accessible%20HPC%20to%20Hawai%26%23x2019%3Bi.%20%26lt%3Bi%26gt%3BPractice%20and%20Experience%20in%20Advanced%20Research%20Computing%26lt%3B%5C%2Fi%26gt%3B%2C%2086%26%23x2013%3B93.%20%26lt%3Ba%20class%3D%26%23039%3Bzp-DOIURL%26%23039%3B%20href%3D%26%23039%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1145%5C%2F3569951.3593611%26%23039%3B%26gt%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1145%5C%2F3569951.3593611%26lt%3B%5C%2Fa%26gt%3B%20%26lt%3Ba%20title%3D%26%23039%3BCite%20in%20RIS%20Format%26%23039%3B%20class%3D%26%23039%3Bzp-CiteRIS%26%23039%3B%20data-zp-cite%3D%26%23039%3Bapi_user_id%3D2570907%26amp%3Bitem_key%3DLBW33FUF%26%23039%3B%20href%3D%26%23039%3Bjavascript%3Avoid%280%29%3B%26%23039%3B%26gt%3BCite%26lt%3B%5C%2Fa%26gt%3B%20%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22conferencePaper%22%2C%22title%22%3A%22Mana%20-%20Bringing%20Accessible%20HPC%20to%20Hawai%5Cu2019i%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Ron%22%2C%22lastName%22%3A%22Merrill%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22David%22%2C%22lastName%22%3A%22Schanzenbach%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Sean%20B.%22%2C%22lastName%22%3A%22Cleveland%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Gwen%20A.%22%2C%22lastName%22%3A%22Jacobs%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22proceedingsTitle%22%3A%22Practice%20and%20Experience%20in%20Advanced%20Research%20Computing%22%2C%22conferenceName%22%3A%22%22%2C%22date%22%3A%222023-07%22%2C%22eventPlace%22%3A%22%22%2C%22DOI%22%3A%2210.1145%5C%2F3569951.3593611%22%2C%22ISBN%22%3A%22978-1-4503-9985-2%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fdl.acm.org%5C%2Fdoi%5C%2F10.1145%5C%2F3569951.3593611%22%2C%22ISSN%22%3A%22%22%2C%22language%22%3A%22en%22%2C%22collections%22%3A%5B%22F3TA2FVL%22%5D%2C%22dateModified%22%3A%222025-03-18T23%3A57%3A32Z%22%7D%7D%2C%7B%22key%22%3A%22ZU53JD5E%22%2C%22library%22%3A%7B%22id%22%3A2570907%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Tabalba%20et%20al.%22%2C%22parsedDate%22%3A%222023%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%26gt%3BTabalba%2C%20R.%2C%20Kirshenbaum%2C%20N.%2C%20Leigh%2C%20J.%2C%20Bhatacharya%2C%20A.%2C%20Veronica%2C%20G.%2C%20Johnson%2C%20A.%2C%20Di%20Eugenio%2C%20B.%2C%20%26amp%3B%20Zellner.%2C%20M.%20%282023%29.%20An%20Investigation%20into%20an%20Always%20Listening%20Interface%20to%20Support%20Data%20Exploration.%20%26lt%3Bi%26gt%3BProceedings%20of%20the%2028th%20International%20Conference%20on%20Intelligent%20User%20Interfaces%20%28IUI%20%26%23x2019%3B23%29.%2C%20Association%20for%20Computing%20Machinery%26lt%3B%5C%2Fi%26gt%3B.%20%26lt%3Ba%20class%3D%26%23039%3Bzp-DOIURL%26%23039%3B%20href%3D%26%23039%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.3390%5C%2Fsu141912023%26%23039%3B%26gt%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.3390%5C%2Fsu141912023%26lt%3B%5C%2Fa%26gt%3B%20%26lt%3Ba%20title%3D%26%23039%3BCite%20in%20RIS%20Format%26%23039%3B%20class%3D%26%23039%3Bzp-CiteRIS%26%23039%3B%20data-zp-cite%3D%26%23039%3Bapi_user_id%3D2570907%26amp%3Bitem_key%3DZU53JD5E%26%23039%3B%20href%3D%26%23039%3Bjavascript%3Avoid%280%29%3B%26%23039%3B%26gt%3BCite%26lt%3B%5C%2Fa%26gt%3B%20%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22conferencePaper%22%2C%22title%22%3A%22An%20Investigation%20into%20an%20Always%20Listening%20Interface%20to%20Support%20Data%20Exploration%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Roderick%22%2C%22lastName%22%3A%22Tabalba%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Nurit%22%2C%22lastName%22%3A%22Kirshenbaum%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Jason%22%2C%22lastName%22%3A%22Leigh%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Abari%22%2C%22lastName%22%3A%22Bhatacharya%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Grosso%22%2C%22lastName%22%3A%22Veronica%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Andrew%22%2C%22lastName%22%3A%22Johnson%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Barbara%22%2C%22lastName%22%3A%22Di%20Eugenio%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Moira%22%2C%22lastName%22%3A%22Zellner.%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22proceedingsTitle%22%3A%22Proceedings%20of%20the%2028th%20International%20Conference%20on%20Intelligent%20User%20Interfaces%20%28IUI%20%2723%29.%22%2C%22conferenceName%22%3A%22%22%2C%22date%22%3A%222023%22%2C%22eventPlace%22%3A%22%22%2C%22DOI%22%3A%2210.3390%5C%2Fsu141912023%22%2C%22ISBN%22%3A%22%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22%22%2C%22ISSN%22%3A%22%22%2C%22language%22%3A%22%22%2C%22collections%22%3A%5B%22F3TA2FVL%22%5D%2C%22dateModified%22%3A%222025-03-18T23%3A57%3A32Z%22%7D%7D%2C%7B%22key%22%3A%228PFKLDQ3%22%2C%22library%22%3A%7B%22id%22%3A2570907%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Ackerman%20et%20al.%22%2C%22parsedDate%22%3A%222023-11%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%26gt%3BAckerman%2C%20K.%20L.%2C%20Nugent%2C%20A.%20D.%2C%20%26amp%3B%20Taing%2C%20C.%20%282023%29.%20Mechanisms%20controlling%20giant%20sea%20salt%20aerosol%20size%20distributions%20along%20a%20tropical%20orographic%20coastline.%20%26lt%3Bi%26gt%3BAtmospheric%20Chemistry%20and%20Physics%26lt%3B%5C%2Fi%26gt%3B%2C%20%26lt%3Bi%26gt%3B23%26lt%3B%5C%2Fi%26gt%3B%2821%29%2C%2013735%26%23x2013%3B13753.%20%26lt%3Ba%20class%3D%26%23039%3Bzp-DOIURL%26%23039%3B%20href%3D%26%23039%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.5194%5C%2Facp-23-13735-2023%26%23039%3B%26gt%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.5194%5C%2Facp-23-13735-2023%26lt%3B%5C%2Fa%26gt%3B%20%26lt%3Ba%20title%3D%26%23039%3BCite%20in%20RIS%20Format%26%23039%3B%20class%3D%26%23039%3Bzp-CiteRIS%26%23039%3B%20data-zp-cite%3D%26%23039%3Bapi_user_id%3D2570907%26amp%3Bitem_key%3D8PFKLDQ3%26%23039%3B%20href%3D%26%23039%3Bjavascript%3Avoid%280%29%3B%26%23039%3B%26gt%3BCite%26lt%3B%5C%2Fa%26gt%3B%20%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Mechanisms%20controlling%20giant%20sea%20salt%20aerosol%20size%20distributions%20along%20a%20tropical%20orographic%20coastline%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Katherine%20L.%22%2C%22lastName%22%3A%22Ackerman%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alison%20D.%22%2C%22lastName%22%3A%22Nugent%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Chung%22%2C%22lastName%22%3A%22Taing%22%7D%5D%2C%22abstractNote%22%3A%22Abstract.%20Sea%20salt%20aerosol%20%28SSA%29%20is%20a%20naturally%20occurring%20phenomenon%20that%20arises%20from%20the%20breaking%20of%20waves%20and%20consequent%20bubble%20bursting%20on%20the%20ocean%26%23039%3Bs%20surface.%20The%20resulting%20particles%20exhibit%20a%20bimodal%20distribution%20spanning%20orders%20of%20magnitude%20in%20size%20that%20introduces%20significant%20uncertainties%20when%20estimating%20the%20total%20annual%20mass%20of%20SSA%20on%20a%20global%20scale.%20Although%20estimates%20of%20mass%20and%20volume%20are%20significantly%20influenced%20by%20the%20presence%20of%20giant%20particles%20%28dry%20radius%20%5C%5Ctextgreater1%20%5Cu00b5m%29%2C%20effectively%20observing%20and%20quantifying%20these%20particles%20proves%20to%20be%20challenging.%20Additionally%2C%20uncertainties%20persist%20regarding%20the%20contribution%20of%20SSA%20production%20along%20coastlines%2C%20but%20preliminary%20studies%20suggest%20that%20coastal%20interactions%20may%20increase%20SSA%20particle%20concentrations%20by%20orders%20of%20magnitude.%20Moreover%2C%20our%20knowledge%20regarding%20the%20vertical%20distribution%20of%20SSA%20particles%20in%20the%20marine%20boundary%20layer%20remains%20limited%2C%20resulting%20in%20significant%20gaps%20in%20understanding%20the%20vertical%20mixing%20of%20giant%20aerosol%20particles%20and%20specific%20environmental%20conditions%20facilitating%20their%20dispersion.%20By%20addressing%20these%20uncertainties%2C%20particularly%20in%20regions%20where%20SSA%20particles%20constitute%20a%20substantial%20percentage%20of%20total%20aerosol%20loading%2C%20we%20can%20enhance%20our%20comprehension%20of%20the%20complex%20relationships%20between%20the%20air%2C%20sea%2C%20aerosols%2C%20and%20clouds.%20A%20case%20study%20conducted%20on%20the%20Hawaiian%20island%20of%20O%60ahu%20offers%20insight%20into%20the%20influence%20of%20coastlines%20and%20orography%20on%20the%20production%20and%20vertical%20distribution%20of%20giant%20SSA%20size%20distributions.%20Along%20the%20coastline%2C%20the%20frequency%20of%20breaking%20waves%20is%20accelerated%2C%20serving%20as%20an%20additional%20source%20of%20SSA%20production.%20Furthermore%2C%20the%20steep%20island%20orography%20generates%20strong%20and%20consistent%20uplift%20under%20onshore%20trade%20wind%20conditions%2C%20facilitating%20vertical%20mixing%20of%20SSA%20particles%20along%20windward%20coastlines.%20To%20investigate%20this%20phenomenon%2C%20in%20situ%20measurements%20of%20SSA%20size%20distributions%20for%20particles%20with%20dry%20radii%20%28rd%29%20%5Cu2265%202.8%20%5Cu00b5m%20were%20conducted%20for%20various%20altitudes%2C%20ranging%20from%20approximately%2080%20to%20650%20m%20altitude%20along%20the%20windward%20coastline%20and%20from%2080%20to%20250%20m%20altitude%20aboard%20a%20ship%20offshore.%20Comparing%20size%20distributions%20onshore%20and%20offshore%20confirmed%20significantly%20higher%20concentrations%20along%20the%20coastline%2C%20with%202.7%5Cu20135.4%20times%20greater%20concentrations%20than%20background%20open-ocean%20concentrations%20for%20supermicron%20particles.%20These%20size%20distributions%20were%20then%20analyzed%20in%20relation%20to%20environmental%20variables%20influencing%20SSA%20production%20and%20atmospheric%20dynamics.%20It%20was%20found%20that%20significant%20wave%20height%20exhibited%20the%20strongest%20correlation%20with%20changes%20in%20SSA%20size%20distributions.%20Additionally%2C%20simulated%20sea%20salt%20particle%20trajectories%20provided%20valuable%20insight%20into%20how%20production%20distance%20from%20the%20coastline%20impacts%20the%20horizontal%20and%20vertical%20advection%20of%20SSA%20particles%20of%20different%20sizes%20under%20varying%20trade%20wind%20speeds.%20Notably%2C%20smaller%20particles%20demonstrated%20reduced%20dependence%20on%20local%20wind%20speeds%20and%20production%20distance%20from%20the%20coastline%2C%20experiencing%20minimal%20dry%20deposition%20and%20high%20average%20maximum%20altitudes%20relative%20to%20larger%20particles.%20This%20research%20not%20only%20highlights%20the%20role%20of%20coastlines%20in%20enhancing%20the%20presence%20and%20vertical%20mixing%20potential%20of%20giant%20SSA%20particles%2C%20but%20also%20emphasizes%20how%20important%20it%20is%20to%20consider%20the%20influence%20of%20local%20factors%20on%20aerosol%20observations%20at%20different%20altitudes.%22%2C%22date%22%3A%222023-11%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.5194%5C%2Facp-23-13735-2023%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Facp.copernicus.org%5C%2Farticles%5C%2F23%5C%2F13735%5C%2F2023%5C%2F%22%2C%22PMID%22%3A%22%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%221680-7324%22%2C%22language%22%3A%22en%22%2C%22collections%22%3A%5B%22F3TA2FVL%22%5D%2C%22dateModified%22%3A%222025-03-18T23%3A57%3A32Z%22%7D%7D%2C%7B%22key%22%3A%22BSDFDDU2%22%2C%22library%22%3A%7B%22id%22%3A2570907%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22DiManno%20et%20al.%22%2C%22parsedDate%22%3A%222023-09%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%26gt%3BDiManno%2C%20N.%2C%20Ostertag%2C%20R.%2C%20Uowolo%2C%20A.%2C%20Durham%2C%20A.%2C%20Blakemore%2C%20K.%2C%20Cordell%2C%20S.%2C%20%26amp%3B%20Vitousek%2C%20P.%20%282023%29.%20Functional%20trait%26%23x2010%3Bbased%20restoration%20alters%20nutrient%20cycling%20and%20invasion%20rates%20in%20%5C%5Ctextlessspan%20style%3D%26quot%3Bfont-variant%3Asmall-caps%3B%26quot%3B%5C%5CtextgreaterH%5C%5Ctextless%5C%2Fspan%5C%5Ctextgreater%20awaiian%20lowland%20wet%20forest.%20%26lt%3Bi%26gt%3BEcological%20Applications%26lt%3B%5C%2Fi%26gt%3B%2C%20%26lt%3Bi%26gt%3B33%26lt%3B%5C%2Fi%26gt%3B%286%29%2C%20e2894.%20%26lt%3Ba%20class%3D%26%23039%3Bzp-DOIURL%26%23039%3B%20href%3D%26%23039%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1002%5C%2Feap.2894%26%23039%3B%26gt%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1002%5C%2Feap.2894%26lt%3B%5C%2Fa%26gt%3B%20%26lt%3Ba%20title%3D%26%23039%3BCite%20in%20RIS%20Format%26%23039%3B%20class%3D%26%23039%3Bzp-CiteRIS%26%23039%3B%20data-zp-cite%3D%26%23039%3Bapi_user_id%3D2570907%26amp%3Bitem_key%3DBSDFDDU2%26%23039%3B%20href%3D%26%23039%3Bjavascript%3Avoid%280%29%3B%26%23039%3B%26gt%3BCite%26lt%3B%5C%2Fa%26gt%3B%20%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Functional%20trait%5Cu2010based%20restoration%20alters%20nutrient%20cycling%20and%20invasion%20rates%20in%20%5C%5Ctextlessspan%20style%3D%5C%22font-variant%3Asmall-caps%3B%5C%22%5C%5CtextgreaterH%5C%5Ctextless%5C%2Fspan%5C%5Ctextgreater%20awaiian%20lowland%20wet%20forest%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Nicole%22%2C%22lastName%22%3A%22DiManno%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Rebecca%22%2C%22lastName%22%3A%22Ostertag%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Amanda%22%2C%22lastName%22%3A%22Uowolo%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Amy%22%2C%22lastName%22%3A%22Durham%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Kaikea%22%2C%22lastName%22%3A%22Blakemore%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Susan%22%2C%22lastName%22%3A%22Cordell%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Peter%22%2C%22lastName%22%3A%22Vitousek%22%7D%5D%2C%22abstractNote%22%3A%22Abstract%20Many%20degraded%20ecosystems%20have%20altered%20nutrient%20dynamics%20due%20to%20invaders%5Cu2019%20possessing%20a%20suite%20of%20traits%20that%20allow%20them%20to%20both%20outcompete%20native%20species%20and%20alter%20the%20environment.%20In%20ecosystems%20where%20invasive%20species%20have%20increased%20nutrient%20turnover%20rates%2C%20it%20can%20be%20difficult%20to%20reduce%20nutrient%20availability.%20This%20study%20examined%20whether%20a%20functional%20trait%5Cu2010based%20restoration%20approach%20involving%20the%20planting%20of%20species%20with%20conservative%20nutrient%5Cu2010use%20traits%20could%20slow%20rates%20of%20nutrient%20cycling%20and%20consequently%20reduce%20rates%20of%20invasion.%20We%20examined%20a%20functional%20trait%20restoration%20initiative%20in%20a%20heavily%20invaded%20lowland%20wet%20forest%20site%20in%20Hilo%2C%20Hawai%5Cu02bbi.%20Native%20and%20introduced%20species%20were%20chosen%20to%20create%20four%20experimental%20hybrid%20forest%20communities%2C%20in%20comparison%20to%20the%20invaded%20forest%2C%20with%20a%20factorial%20design%20in%20which%20communities%20varied%20in%20rates%20of%20carbon%20turnover%20%28slow%20or%20moderate%20%5BSLOW%2C%20MOD%5D%29%2C%20and%20in%20the%20relationship%20of%20species%20in%20trait%20space%20%28redundant%20or%20complementary%20%5BRED%2C%20COMP%5D%29.%20After%20the%20first%205%20years%2C%20we%20evaluated%20community%5Cu2010level%20outcomes%20related%20to%20nutrient%20cycling%3A%20carbon%20%28C%29%2C%20nitrogen%20%28N%29%2C%20and%20phosphorus%20%28P%29%20via%20litterfall%2C%20litter%20decomposition%2C%20and%20outplant%20productivity%20and%20rates%20of%20invasion.%20We%20found%20that%20%281%29%20regardless%20of%20treatment%2C%20the%20experimental%20communities%20had%20low%20rates%20of%20nutrient%20cycling%20through%20litterfall%20relative%20to%20the%20invaded%20reference%20forest%2C%20%282%29%20the%20MOD%20communities%20had%20greater%20nutrient%20release%20via%20litterfall%20than%20the%20SLOW%20communities%2C%20%283%29%20introduced%20species%20had%20greater%20nutrient%20release%20than%20native%20species%20in%20the%20two%20MOD%20experimental%20communities%2C%20and%20%284%29%20within%20treatments%2C%20there%20was%20a%20positive%20relationship%20between%20nutrient%20levels%20and%20outplant%20basal%20area%2C%20but%20outplant%20basal%20area%20was%20negatively%20associated%20with%20rates%20of%20invasion.%20The%20negative%20relationships%20among%20basal%20area%20and%20weed%20invasion%2C%20particularly%20for%20the%20two%20COMP%20treatments%2C%20suggest%20species%20existing%20in%20different%20parts%20of%20trait%20space%20may%20help%20confer%20some%20degree%20of%20invasion%20resistance.%20The%20diversification%20of%20trait%20space%20was%20facilitated%20by%20the%20use%20of%20introduced%20species%2C%20a%20new%20concept%20in%20Hawaiian%20forest%20management.%20Although%20challenges%20remain%20in%20endeavors%20to%20restore%20this%20heavily%20degraded%20ecosystem%2C%20this%20study%20provides%20evidence%20that%20functional%20trait%5Cu2010based%20restoration%20approaches%20using%20carefully%20crafted%20hybrid%20communities%20can%20reduce%20rates%20of%20nutrient%20cycling%20and%20invasion%20in%20order%20to%20reach%20management%20goals.%22%2C%22date%22%3A%222023-09%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.1002%5C%2Feap.2894%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fesajournals.onlinelibrary.wiley.com%5C%2Fdoi%5C%2F10.1002%5C%2Feap.2894%22%2C%22PMID%22%3A%22%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%221051-0761%2C%201939-5582%22%2C%22language%22%3A%22en%22%2C%22collections%22%3A%5B%22F3TA2FVL%22%5D%2C%22dateModified%22%3A%222025-03-18T23%3A57%3A32Z%22%7D%7D%5D%7D
Lee, C. J., Tran, G., Tabalba, R., Leigh, J., & Longman, R. (2024). Macro-Queries: An Exploration into Guided Chart Generation from High Level Prompts. arXiv. https://doi.org/10.48550/ARXIV.2408.12726 Cite
Rosam, J. R., Warman, L., Ostertag, R., Perroy, R., & Cordell, S. (2024). Light quality and spatial variability influences on seedling regeneration in Hawaiian lowland wet forests. Journal of Applied Ecology, 61(11), 2638–2652. https://doi.org/10.1111/1365-2664.14775 Cite
Westerband, A. C., & Barton, K. E. (2025). Investigating the origins and effects of intraspecific trait variation. In Plant Functional Traits (pp. 205–238). Elsevier. https://doi.org/10.1016/B978-0-443-13367-1.00010-7 Cite
Tabalba, R., Lee, C. J., Tran, G., Kirshenbaum, N., & Leigh, J. (2024). ArticulatePro: A Comparative Study on a Proactive and Non-Proactive Assistant in a Climate Data Exploration Task. arXiv. https://doi.org/10.48550/ARXIV.2409.10797 Cite
Wang, C., Stopa, J. E., Vandemark, D., Foster, R., Ayet, A., Mouche, A., Chapron, B., & Sadowski, P. (2025). A multi‐tagged SAR ocean image dataset identifying atmospheric boundary layer structure in winter tradewind conditions. Geoscience Data Journal, 12(1), e282. https://doi.org/10.1002/gdj3.282 Cite
McLean, J., & Cleveland, S. (2024). A Fast TIFF File Value Extractor For Generating Timeseries Data to Enable Virtual Climate Stations. https://doi.org/10.5281/ZENODO.13870135 Cite
Noe, K., & Kirshenbaum, N. (2024). Where Generalized Equitable Design Practice Meet Specific Indigenous Communities. Proceedings of the CHI Conference on Human Factors in Computing Systems, 1–8. https://doi.org/10.1145/3613904.3642931 Cite
Chen, C. Y., Christoffels, A., Dube, R., Enos, K., Gilbert, J. E., Koyejo, S., Leigh, J., Liquido, C., McKee, A., Noe, K., Peng, T.-Q., & Taiuru, K. (2024). Increasing the presence of BIPOC researchers in computational science. Nature Computational Science, 4(9), 646–653. https://doi.org/10.1038/s43588-024-00693-6 Cite
Stokes, A. J., Vary, N. G., & Lorshbough, E. L. (2024). Systemic biases are leading to an intersex research void. Nature, 635(8038), 290–290. https://doi.org/10.1038/d41586-024-03662-1 Cite
Rodríguez-Puerta, F., Perroy, R. L., Barrera, C., Price, J. P., & García-Pascual, B. (2024). Five-Year Evaluation of Sentinel-2 Cloud-Free Mosaic Generation Under Varied Cloud Cover Conditions in Hawai’i. Remote Sensing, 16(24), 4791. https://doi.org/10.3390/rs16244791 Cite
Bagheri, H., Mirakhorli, M., Fazelnia, M., Mujhid, I., & Hasan, M. R. (2024). Neuro-Symbolic Approach to Certified Scientific Software Synthesis. Proceedings of the 1st ACM International Conference on AI-Powered Software, 147–150. https://doi.org/10.1145/3664646.3664776 Cite
Johnson, A. E., Renambot, L., Marai, G. E., Tsoupikova, D., Papka, M. E., Long, L., Plepys, D., Talandis, J., Brown, M. D., Leigh, J., Sandin, D. J., & DeFanti, T. A. (2024). Electronic Visualization Laboratory’s 50th Anniversary Retrospective: Look to the Future, Build on the Past. PRESENCE: Virtual and Augmented Reality, 33, 77–127. https://doi.org/10.1162/pres_a_00421 Cite
Bhattacharya, A., Di Eugenio, B., Grosso, V., Johnson, A., Tabalba, R., Kirshenbaum, N., Leigh, J., & Zellner, M. (2024). A Conversational Assistant for Democratization of Data Visualization: A Comparative Study of Two Approaches of Interaction. Statistical Analysis and Data Mining: An ASA Data Science Journal, 17(6), e11714. https://doi.org/10.1002/sam.11714 Cite
Cleveland, S. B., Tanaka, S., Dumanlang, M., Stokes, A. J., Johnson, P. M., Leigh, J., Giambelluca, T. W., Turner, H., & Jacobs, G. A. (2024). Building a Cybertraining program for Climate Scientists in the Pacific to integrate Cyberinfrastructure and Open Science. Practice and Experience in Advanced Research Computing 2024: Human Powered Computing, 1–4. https://doi.org/10.1145/3626203.3670617 Cite
Takagi, Y., Tabalba, R., Kirshenbaum, N., & Leigh, J. (2024). Abstracted Trajectory Visualization for Explainability in Reinforcement Learning. 2024 IEEE Conference on Artificial Intelligence (CAI), 75–82. https://doi.org/10.1109/CAI59869.2024.00023 Cite
Longman, R. J., Lucas, M. P., Mclean, J., Cleveland, S. B., Kodama, K., Frazier, A. G., Kamelamela, K., Schriber, A., Dodge, M., Jacobs, G., & Giambelluca, T. W. (2024). The Hawai‘i Climate Data Portal (HCDP). Bulletin of the American Meteorological Society, 1(aop). https://doi.org/10.1175/BAMS-D-23-0188.1 Cite
Ware, I. M., Ostertag, R., Cordell, S., Giardina, C. P., Sack, L., Medeiros, C. D., Inman, F., Litton, C. M., Giambelluca, T., John, G. P., & Scoffoni, C. (2022). Multi-Stemmed Habit in Trees Contributes Climate Resilience in Tropical Dry Forest. Sustainability, 14(11), 6779. https://doi.org/10.3390/su14116779 Cite
Huang, Y.-F., Gayte, M., Tsang, Y., Longman, R. J., Nugent, A. D., Kodama, K., Lucas, M. P., & Giambelluca, T. W. (2022). Hourly rainfall data from rain gauge networks and weather radar up to 2020 across the Hawaiian Islands. Scientific Data, 9(1), 334. https://doi.org/10.1038/s41597-022-01430-2 Cite
Valdez, D., Bunnell, A., Lim, S. Y., Sadowski, P., & Shepherd, J. A. (2023). Performance of progressive generations of GPT on an exam designed for certifying physicians as Certified Clinical Densitometrists. https://doi.org/10.1101/2023.07.25.23293171 Cite
Mizukami, N., Newman, A. J., Littell, J. S., Giambelluca, T. W., Wood, A. W., Gutmann, E. D., Hamman, J. J., Gergel, D. R., Nijssen, B., Clark, M. P., & Arnold, J. R. (2022). New projections of 21st century climate and hydrology for Alaska and Hawaiʻi. Climate Services, 27, 100312. https://doi.org/10.1016/j.cliser.2022.100312 Cite
Belcaid, M., Leigh, J., Theriot, R., Kirshenbaum, N., Tabalba, R., Rogers, M., Johnson, A., Brown, M., Renambot, L., Long, L., Nishimoto, A., North, C., & Harden, J. (2023). Reflecting on the Scalable Adaptive Graphics Environment Team’s 20-Year Translational Research Endeavor in Digital Collaboration Tools. Computing in Science & Engineering, 25(2), 50–56. https://doi.org/10.1109/MCSE.2023.3297753 Cite
Kodama, K. M., Kourkchi, E., Longman, R. J., Lucas, M. P., Bateni, S. M., Huang, Y., Kagawa‐Viviani, A., Mclean, J., Cleveland, S. B., & Giambelluca, T. W. (2024). Mapping Daily Air Temperature Over the Hawaiian Islands From 1990 to 2021 via an Optimized Piecewise Linear Regression Technique. Earth and Space Science, 11(1), e2023EA002851. https://doi.org/10.1029/2023EA002851 Cite
Schanzenbach, D., Merrill, R., Cleveland, S., & Jacobs, G. (2023). Integrated Advanced Computing Management Interface (IACMI): A Web Portal to Democratize HPC Management. Practice and Experience in Advanced Research Computing, 328–331. https://doi.org/10.1145/3569951.3597568 Cite
Merrill, R., Schanzenbach, D., Cleveland, S. B., & Jacobs, G. A. (2023). Mana - Bringing Accessible HPC to Hawai’i. Practice and Experience in Advanced Research Computing, 86–93. https://doi.org/10.1145/3569951.3593611 Cite
Tabalba, R., Kirshenbaum, N., Leigh, J., Bhatacharya, A., Veronica, G., Johnson, A., Di Eugenio, B., & Zellner., M. (2023). An Investigation into an Always Listening Interface to Support Data Exploration. Proceedings of the 28th International Conference on Intelligent User Interfaces (IUI ’23)., Association for Computing Machinery. https://doi.org/10.3390/su141912023 Cite
Ackerman, K. L., Nugent, A. D., & Taing, C. (2023). Mechanisms controlling giant sea salt aerosol size distributions along a tropical orographic coastline. Atmospheric Chemistry and Physics, 23(21), 13735–13753. https://doi.org/10.5194/acp-23-13735-2023 Cite
DiManno, N., Ostertag, R., Uowolo, A., Durham, A., Blakemore, K., Cordell, S., & Vitousek, P. (2023). Functional trait‐based restoration alters nutrient cycling and invasion rates in \textlessspan style="font-variant:small-caps;"\textgreaterH\textless/span\textgreater awaiian lowland wet forest. Ecological Applications, 33(6), e2894. https://doi.org/10.1002/eap.2894 Cite