HydroAI

What is reanalysis?

The National Research Foundation of Korea offers a scholarship program to support graduate students. This program provides 12 million won in research funds for one year, awarded to graduate students in MS or Integrated MS/PhD programs in domestic universities based on evaluation of their research proposals.

Subin Kim (Integrated MS/PhD student) was awarded this scholarship with her research proposal titled “Utilizing Deep Learning and Land Data Assimilation to Reduce Uncertainty in Numerical Prediction Models.” This proposal aims to enhance the performance of numerical prediction models, particularly the Korea Integrated Model (KIM), a numerical weather prediction model developed by Korea Institute of Atmospheric Prediction System. Her research focuses on utilizing AI to construct spatio-temporal error maps, enabling more effective land data assimilation and generating more accurate reanalysis data. Therefore, her research on reanalysis can ultimately contribute to water resource management and the monitoring of extreme events, such as droughts, floods, landslides, and wildfires, on the Korean Peninsula.

She shared her gratitude, saying, “Thanks to the guidance of my ambitious advisor, Professor Hyunglok Kim, I was honored to be selected for this scholarship program. With this invaluable support, I will continue to study and do research to grow into a researcher who can make meaningful contributions to the field of hydrology in Korea.”

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Building Team Spirit Through Basketball

We enjoyed a memorable evening of basketball and camaraderie with Professor Venkataraman Lakshmi, President-Elect of the AGU Hydrology section, who later delivered an insightful seminar on integrating land surface models and remote sensing to better understand and predict hydrological extremes like floods and droughts.

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NASA Scientists Visit GIST and HydroAI Lab to Advance Core Validation Site Collaboration in Korea

From October 7–10, 2024, NASA scientists from JPL and GSFC visited GIST and the HydroAI Lab for seminars and collaborative field visits, engaging with students and working on the development of a Core Validation Site (CVS) in Hampyeong to support soil moisture research and satellite validation efforts.

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HydroAI Lab Hosts Visiting Scholar from University of Virginia for Collaborative Drought Research

From November to December 2024, HydroAI Lab welcomed Sophia Bakar from the University of Virginia for a collaborative research stay, leading to joint AGU presentations on flash and agricultural drought prediction using deep learning and remote sensing.

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HydroAI Students Attend at Asia-Oceania Geoscience Society (AOGS), Showcasing Research and Winning Awards on the Global Stage

HydroAI Lab students actively participated in the AOGS conference in Pyeongchang, with Aigerim Bolatbekkyzy winning Best Poster in Hydrological Sciences, highlighting the lab’s strong presence and international engagement in geoscience research.

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HydroAI Students Present Research on the Global Stage at American Geophysical Union in the U.S.

Graduate students from HydroAI Lab traveled to Washington, D.C. to present their cutting-edge research at AGU 2024, showcasing their work on soil moisture, snow patterns, etc. to an international scientific audience.

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Subin and Nayoung Win Top Prizes at KIWW Student Competition on Remote Sensing and Water Resources

At Korea International Water Week 2024, GIST students Subin Kim and Nayoung Kwon won first and fourth prizes, respectively, in a competitive student session on hydrology and remote sensing, judged by leading international scholars.

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Award-Winning Study: HydroAI Lab Uses AI and Satellites to Analyze Urban Heat in Gwangju

Our lab’s project, led by Seongjun Lee and Subin Kim, was recognized as an excellent research study under the Gwangju Climate and Energy Agency’s Small Research Grant Program for using satellite imagery and AI to analyze urban heat island trends in Gwangju.

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Our Study Featured on NASA Landsat Science: Advancing Water Quality Monitoring

We are proud to share that Seongjun Lee’s research, presented at AGU, has been featured on NASA Landsat Science for its innovative use of satellite and reanalysis data with deep learning to monitor water quality in Korea’s inland reservoirs.

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Exploring Global Hydrological Research: HydroAI Lab’s Collaborative Visit to the USDA

HydroAI lab members visited the Unite States Department of Agriculture (USDA) to exchange insights on soil moisture monitoring and explore joint research opportunities, including establishing domestic cal/val sites for satellite-based hydrological remote sensing.

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HydroAI Lab Visits NASA to Strengthen Collaboration in Soil Moisture Monitoring and Remote Sensing

We visited NASA Goddard Space Flight Center (GSFC) to exchange research on water resources management using Earth observation satellites and explore opportunities for international collaboration in satellite-based hydrology.

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Subin Kim Awarded NRF Graduate Research Scholarship for Advancing AI-Based Hydrological Modeling

Subin Kim, an Integrated MS/PhD student, was awarded a prestigious scholarship from the National Research Foundation of Korea, which supports graduate students with 12 million won in research funds for one year based on the evaluation of their proposals.

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2024 Korea Water Resources Association (KWRA)

HydroAI Lab participated in the 2024 KWRA Conference at Jeju, gaining valuable experience through presentations, networking, and exposure to cutting-edge water research.

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