Data & Publications

Change Hawaiʻi Project Data & Software

Hawaiʻi Climate Data Portal

The Hawaiʻi Climate Data Portal (HCDP) provides open-access climate data and tools to support planning and decision-making across the Hawaiian Islands.

Whatʻs New:

🌈 2025 Hawaiʻi Annual Climate Report: A comprehensive, plain-language summary of the year’s rainfall, temperature, and drought. Available as a Flipbook or an Interactive Website.
📊 Monthly Updates: Starting Spring 2026, we will offer monthly climate summaries. Subscribe to HCDP Updates.

go to the climate data portal

SAGE3

SAGE3 is an open-source platform designed to help individuals and teams collaborate effectively—with each other and with AI—to accelerate the process of understanding, problem-solving, and discovery.

SAGE3 supports translational and convergent research, making it ideal for integrating insights from science, technology, community knowledge, and policy to tackle real-world challenges. It enables people to work with large and varied information sources—collaborating seamlessly with AI to reach decisions more quickly, clearly, and confidently.

go to sage3

PyForestScan

PyForestScan is a Python library for analyzing and visualizing forest structure using airborne 3D point cloud data. It facilitates the extraction of essential forest metrics—such as canopy height, plant area index (PAI), canopy cover, plant area density (PAD), and foliage height diversity (FHD)—to help researchers and land managers better understand forest composition, health, and ecological processes. By offering a streamlined workflow for processing and interpreting point cloud data, PyForestScan is a powerful and user-friendly tool for those seeking detailed insights into forest ecosystems.

go to pyforestscan

Research Highlights

Research highlights showcasing innovative tools and research—from drought mapping to Indigenous-centered data science—that empower local communities and resource managers to make data-driven management decisions.

Go To Research Highlights

Publication Highlight

This special issue of the American Journal of Botany (October 2025) provides a predictive framework for managing “novel fire regimes” by linking measurable plant functional traits to fire severity and ecosystem recovery.

read special issue

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.

Global Impact and Reach

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.

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greater%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

Leigh, J., Renambot, L., Theriot, R., Long, L., Lee, C., Harden, J., Kirshenbaum, N., Belcaid, M., North, C., Johnson, A., & Brown, M. (2026). Building Collaborative Intelligence: The Translational Journey of the Smart Amplified Group Environment Across Research, Education, and Practice. SN Computer Science, 7(3), 281. https://doi.org/10.1007/s42979-026-04861-5 Cite

Yusuke Hatanaka, Amila Indika, Thomas Giambelluca, and Peter Sadowski. (2025, April). Statistical Downscaling of Climate Models with Deep Learning. PI-CASC - Graduate Student Research Symposium. Cite

Percival, J. E. H., & Leamon, B. P. (2025). PyForestScan: A Python library for calculating forest structural metrics from lidar point cloud data. Journal of Open Source Software, 10(106), 7314. https://doi.org/10.21105/joss.07314 Cite

Miyamura, M., Trauernicht, C., Chambers, T., & Barton, K. E. (2026). Experimental tests of fire resprouting in Hawaiian plants. Pacific Conservation Biology, 32(1), PC25060. https://doi.org/10.1071/PC25060 Cite

Fandrich, K. M., Timm, O., & Giambelluca, T. W. (2025). Investigating Wintertime North Pacific Jet Variability and Disturbance-Driven Rainfall over Hawai‘i Using the Self-Organizing Map (SOM). Journal of Climate, 38(23), 7001–7017. https://doi.org/10.1175/JCLI-D-24-0422.1 Cite

Fukunaga, A., Pascoe, K. H., Kosaki, R. K., & Burns, J. H. R. (2024). Elucidating Temporal Patterns in Coral Health and Assemblage Structure in Papahānaumokuākea. Journal of Marine Science and Engineering, 12(8), 1267. https://doi.org/10.3390/jmse12081267 Cite

Nakoa, J. W. P., Burns, J. H. R., Pascoe, M., Cortes, M., Ferreira, S. B., Pascoe, K. H., Kane, H. H., & Kapono, C. A. (2025). Sediment exposure decreases diversity in the surface mucus layer microbiome of Porites lobata at Honoliʻi, Hawaiʻi. Frontiers in Microbiology, 16, 1626064. https://doi.org/10.3389/fmicb.2025.1626064 Cite

Ferreira, S. B., Burns, J. H. R., Fukunaga, A., Tuttle Raz, L. J., McKenna, S. A., Annandale, K., & Monello, R. J. (2025). 3D Habitat Complexity and Coral Morphology Modulate Reef Fish Functional Structure in a Marine National Park. Ecology and Evolution, 15(9), e71992. https://doi.org/10.1002/ece3.71992 Cite

Benoit, L., Lucas, M. P., Allard, D., Kodama, K. M., & Giambelluca, T. W. (2025). A non-stationary trans-Gaussian model for daily rainfall over complex topography. https://doi.org/10.5194/egusphere-2025-2181 Cite

Barton, K. E., Macinnis‐Ng, C., Ostertag, R., & Kagawa‐Viviani, A. (2026). Physiological Traits for Climate‐Ready Restoration. Ecology and Evolution, 16(1), e72939. https://doi.org/10.1002/ece3.72939 Cite

Barton, K. E., Yelenik, S. G., Schwilk, D. W., Oliveras Menor, I., Curran, T. J., Jaureguiberry, P., & Fidelis, A. (2025). Understanding novel fire regimes using plant trait‐based approaches: An introduction. American Journal of Botany, 112(10), e70120. https://doi.org/10.1002/ajb2.70120 Cite

Barton, K. E., Ibanez, T., Bellingham, P. J., & Moreira, X. (2025). Island plant fire tolerance: Functional traits associated with novel disturbance regimes. American Journal of Botany, 112(10), e16465. https://doi.org/10.1002/ajb2.16465 Cite

Kasey Barton. (2025, September). Diversity in island plant functional strategies [Poster]. Society of Island Biology. Cite

Han Tseng1, Thomas W Giambelluca, Rajesh Sankaran, Pete Beckman, Dylan Giardina and Jason Leigh. (2025, December). In Situ Ground-Based Fog Droplet Measurements for Cloud Water Interception Prediction in a Hawaiian Tropical Montane Cloud Forest [Poster]. AGU 25. Cite

Joseph Percival, Olivia Jarvis, Adrian Pascual, Matthew Johnson, Narumasa Tsutsumida, Johannes Reiche, Ryan L Perroy, Francisco Rodriguez-Puerta. (2025, December). Seeing through the big trees: GEDI-based detection of strawberry guava invasion in Hawai’i [Poster]. AGU 25. Cite

Yinphan Tsang, Yu-Fen Huang. (2025, December). Drivers of heterogeneous rainfall- runoff responses and flood generation across the Hawaiian Islands [Poster]. AGU 25. Cite

Yen-Wei Pan, Yinphan Tsang. (2025, June). Intensive Storms and Reactive Soils: Tropical Soil Moisture Behavior from 5-Minute Observations in Hawai‘i [Poster]. 2025 National Soil Moisture Workshop. Cite

Yen-Wei Pan, Yinphan Tsang. (2025, December). Interpreting Runoff Responses in Tropical Watersheds Using Soil Moisture Profile Gradients [Poster]. AGU 25. 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

Spengler, A., Pascoe, K., Kapono, C., Kane, H., & Burns, J. (2024). MEGA Vision: Integrating Reef Photogrammetry Data into Immersive Mixed Reality Experiences. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLVIII-2–2024, 409–414. https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-409-2024 Cite

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

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, July). 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