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Friday, July 24, 2026

Assessing Design and Deployment Strategies for Future Microwave-Sounding Missions

CISESS Scientist Dr. Zaizhong Ma and co-authors, including CISESS Deputy Director Dr. Hugo Berbery, recently published a study on the expected forecast impact of future microwave sounding instruments planned under NOAA’s Near Earth Orbit Network (NEON) program. This work was done using the Ensemble of Data Assimilations (EDA) for the Integrated Forecasting System in collaboration with the European Centre for Medium-Range Weather Forecasts (ECMWF).
Friday, July 17, 2026

SOUP: A Recipe for Managing Ocean Data from the Abyss to Archive

CISESS Scientist Anna Lienesch has recently implemented a new NOAA ocean exploration data user portal called SOUP. As a Sample Data Manager on the NOAA Ship Okeanos Explorer, she is a primary user of this tool, which she helped design, enhance, and test. SOUP may undergo further development to be used for other projects, replacing outdated workflows and streamlining processes.

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Ocean Acidification

Ocean Acidification Indicators for the Global Surface Ocean

CISESS scientist Li-Qing Jiang and colleagues published a landmark study on the evolution of 10 ocean acidification (OA) indicators in the global surface ocean from 1750 to 2100. The article was published on 23 March 2023 in the Journal of Advances in Modeling Earth Systems.

 
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Vogel and Abecassis win NESDIS Collaboration Awards

CISESS Scientists Melanie Abecassis and Ronald Vogel received NESDIS Collaboration Awards for their contributions as part of a team who created new and upgraded existing content exploiting multimedia, and pivoted the CoastWatch Satellite Course to a virtual environment, hosting educational content on CANVAS at UMD/CISESS.

 
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Gorogh & CHRS

CISESS Internship Project in Collaboration with University of California, Irvine

University of California–Irvine PhD candidate Vesta Gorooh, completed a12-week internship at CISESS where she explored the capabilities of using machine learning to improve satellite retrieval of precipitation rate. This project will continue as a collaboration with UCI's Center for Hydrometeorology and Remote Sensing (CHRS).

 
 
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