ESSIC/CISESS scientist Jifu Yin is the first author on a two-part series published in IEEE Transactions on Geoscience and Remote Sensing on refining the Advanced Microwave Scanning Radiometer 2 (AMSR2) soil moisture retrieval algorithm. The paper’s co-authors include ESSIC scientists Jicheng Liu, Huan Meng and Ralph Ferraro.
ESSIC/CISESS Scientist Yongsheng Zhang recently published a study on the year-by-year
aerosol variations over the Bay of Bengal (BoB) and Arabian Sea (AS) in early spring and their
relationship to the Asian summer monsoon rainfall anomalies using satellite-observed aerosol
products.
In January 2022, ESSIC/CISESS Scientist Daile Zhang won a CISESS Seed Grant to evaluate NOAA’s Geostationary Lightning Mappers (GLMs) on the GOES-16 and -17 Satellites and the upgraded Mid-Atlantic Lightning Mapping Array (MALMA) using a network of low-cost and innovative atmospheric electricity and lightning measurement tools to take lightning videos. Recently, the initial Seeds Grant period ended and Zhang reported her results.
Dorothy Hall was awarded Life Member of the Eastern Snow Conference at the 79th meeting in Easton, PA, on June 7th. She also gave the banquet speech entitled “A Brief History of Advances in Satellite Snow-Cover Mapping”.
AMSR2 Precipitation Product During Mawar’s Landfall in Guam
Korak Saha and Yongsheng Zhang are co-authors of a new paper in Remote Sensing titled “Oceanic Responses to the Winter Storm Outbreak of February 2021 in the Gulf of Mexico from In Situ and Satellite Observations”.
Isaac Moradi is the co-author of a paper entitled “The Community Radiative Transfer Model (CRTM): Community-Focused Collaborative Model Development Accelerating Research to Operations” published in Bulletin of the American Meteorological Society.
Earlier this month, Earth Systems Science Interdisciplinary Center (ESSIC) held a virtual workshop on Python hosted by Rebekah Esmaili from Science and Technology Corp (STC).
Jifu Yin, Ralph Ferraro, and Jicheng Liu are authors on a new paper in Journal of Hydrology
titled “Assimilation of Blended Satellite Soil Moisture Data Products to Further Improve Noah-
MP Model Skills”.
Satellite observations provide the only means for snowfall detection and snowfall intensity estimation on a global scale.
