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UH part of $360M NOAA award to manage national water hazards, resources

The grant will support a consortium of 28 institutions that will help improve the nation’s ability to predict water-related hazards, such as flooding, that caused major storm damage in Hanalei, Kauaʻi in 2018. (Photo credit: UH Mānoa Coastal Geology Group) The University of Hawaiʻi at Mānoa is part of a consortium of 28 institutions awarded $360 million by the National Oceanic and …

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Natural Source Zone Depletion of Petroleum Hydrocarbons at the Water Table 🗓

SPEAKER: Barbara Bekins DATE AND TIME:  Friday, 8 April 2022 • 2:00 pm (HST) To develop an appropriate mitigation strategy for groundwater contamination from long-term petroleum hydrocarbon spill sites, it is critical to understand how the mass and composition of the source changes over time. This presentation will focus on the research conducted at the site …

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Sustainable water withdrawal from main Oʻahu aquifer may decrease

The future of Oʻahu’s primary water source may be in jeopardy if current water withdrawal rules remain unchanged. According to University of Hawaiʻi at Mānoa researchers, the current sustainable yield (the maximum rate that water can be withdrawn from aquifers without compromising human and ecological uses) estimate for the Puʻuloa (Pearl Harbor) aquifer at 182 million gallons per day (MGD) …

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NSF EPSCoR Workshop 2022 🗓

Artificial Intelligence (AI) has incredible potential to improve modern life by addressing many of society’s major challenges related to human health, economic stability, and food security. This workshop will bring researchers together to discuss current frontier AI research, as well as potential applications and limitations of AI in addressing science challenges from other domains in STEM, …

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Cloud Water Interception in Hawaii: Observations and Modeling 🗓

SPEAKER:  Han TsengDATE AND TIME:  Friday, 4 March 2022, 2 pm (HST) Cloud water interception (CWI), the passive capturing of fog water by plants, is a unique ecohydrological process in tropical montane cloud forests that has long been believed to increase water supply. By gaining extra water from the passing clouds, vegetation in the cloud zone on …

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Data Visualization 🗓

Registration: http://go.hawaii.edu/PsV Workshop Description Vision is the primary channel through which humans interpret most of the information in the world. So it isn’t surprising that half of the human brain is dedicated to processing visual imagery. Visualization is particularly important in the age of Big Data, Data Science and Artificial Intelligence, as it enables humans to …

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JEDI Training for Data Science 🗓

Registration: http://go.hawaii.edu/Vsf Workshop Description Justice, Diversity, Equity and Inclusion (JEDI) are challenges across STEM and in the emerging field of data science. In this workshop a panel will discuss these issues, covering topics ranging from inclusion and allyship to algorithmic bias and data feminism, and how justice-oriented approaches to data science teaching and learning may …

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FAIR Data Management, Security and Ethics 🗓

Registration: http://go.hawaii.edu/3sV Workshop Description This workshop focuses on introducing FAIR data management practices — FAIR stands for Findability, Accessibility, Interoperability, and Reusability. Prerequisites: Modern web browser HydroShare account Learning Objectives: Attendees will learn how to incorporate these concepts into data management, additionally, the seminar will address data security and ethics. Tools used in this workshop: Modern …

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Smart Data Collection for Sensor Networks 🗓

Registration: http://go.hawaii.edu/VsA Workshop Description This workshop will cover the usage of the Tapis Streams API for representing sensor networks and streaming/processing real-time data. Participants will set up a Jupyter notebook instance on Mana and run through a notebook demonstrating how to implement a mock sensor station for recording climatological data via tapipy, a python library for …

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Machine Learning Approaches in Climate Science 🗓

Registration: http://go.hawaii.edu/GsV Workshop Description The goals of this lesson are to introduce you to the basics of time-series and geospatial data modeling using modern data science software tools: Jupyter notebooks, ScikitLearn, Keras, and Tensorflow on High Processing Computers. We’re approaching this lesson in two parts: Part 1: Simple Time Series Prediction Using Long-Short-Term-Memory Techniques. We will …

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