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Friday, March 6, 2026

CISESS at the 2026 Ocean Sciences Meeting

CISESS Scientist Annika Jersild gave a talks and Hyelim Yoo presented a poster at the AGU Ocean Sciences Meeting, held 22–27 February 2026 in Glasgow, Scotland. CISESS Consortium Scientist Adam Martiny from University of California Irvine and the international Bio GO-SHIP team were the recipients of the TOS Ocean Observing Team Award.

Friday, February 27, 2026

The New Radar Module for the Community Radiative Transfer Model

In their paper published in Atmospheric Measurement Techniques, CISESS Scientist Isaac Moradi and coauthors at NOAA and NASA examine how well the Community Radiative Transfer Model (CRTM) performs for different radar frequencies now that a new radar module is included in the latest CRTM version.

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Oyster Farming

Apr 25, 2025 09:33 AM

Evaluation of Satellite Data for Oyster Aquaculture Modeling

This study, coauthored by CISESS Scientist Ron Vogel, found that satellite data products and water quality data collected routinely by the Maryland Department of Natural Resources can replace on-site measurements taken at oyster farms as input to an oyster harvest model.

Apr 24, 2025 09:21 AM

CISESS Announces 2025 Seed Grants

Deputy Director Hugo Berbery has just announced the CISESS Seed Grants to be funded in 2025. While four projects have been funded for the last four years, this year CISESS will have six Seed Grants for the first time. In addition, two prior seed grants, Hu Yang's Remote Sensing Lab and Guangyang Fan's 3D Virtual Reality Weather Maps, have now been given permanent funding.

Fires and Hurricanes

Apr 22, 2025 10:43 AM

Combined Use of Satellite Observations and the RIM for Assessing Recovery from Natural Disasters

The Resilience Inference Measurement (RIM) model was developed to quantify resilience to natural disasters like fires and hurricanes. In this paper, CISESS Scientists Wenhui Wang, Yan Bai, Xi Shao, Sirish Uprety and Hong-Lie Qiu introduce an approach that integrates observations from several satellite platforms so that a recovery assessment can be made more quickly.

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