ESSIC scientist Zhuosen Wang is a co-author of a chapter in Urban Remote Sensing titled, “US Cities in the Dark: Mapping Man-Made Carbon Dioxide Emissions Over the Contiguous US Using NASA’s Black Marble Nighttime Lights Product”.
Last month, researchers from the NASA Goddard Space Flight Center (GSFC) and the University of Maryland (UMD) Earth System Science Interdisciplinary Center (ESSIC) gathered to explore the challenges and opportunities in applying machine learning and artificial intelligence in Earth systems science.
ESSIC Research Scientist Isaac Moradi presented a talk on October 19, 2021 as part of the Howard County High Schools G/T Intern/Mentor program on the Earth and Space Science fundamentals.
ESSIC Visiting Associate Research Professor Ariana Sutton-Grier has a new paper out in OneEarth about the importance of nature in climate resilient infrastructure. On this paper, Sutton-Grier worked with researchers from Texas A&M University, US Army Corps of Engineers, University of Georgia, Duke University, and more.
(SACRAMENTO, CA — October 21, 2021) OpenET, a new online platform that uses satellites to estimate water consumed by crops and other plants, launched today, making critical data for water management widely available in 17 western states for the first time amid record drought.
ESSIC scientist Weston Anderson is lead-author on a new paper that suggests that African food insecurity is being driven by an uptick in violent conflict. In the study published in Nature Food, Anderson worked with researchers from Columbia University, New York University, and Lamont Doherty Earth Observatory.
Isaac Moradi (ESSIC/GMAO) presented a talk entitled “Assimilation of microwave radiances over the rainbands of tropical cyclones” in the WCRP-WWRP Joint Symposium on Data Assimilation and Reanalysis.
Research conducted by ESSIC/AOSC scientist Ross J. Salawitch is featured in a new Washington Post article on the North Pole ozone hole that formed last year.
ESSIC/CISESS scientists Huan Meng and Yongzhen Fan have recently developed a new machine learning snowfall detection (SD) algorithm, based on eXtreme Gradient Boosting (XGB). The algorithm was developed for the Advanced Technology Microwave Sounder (ATMS) onboard NPP and NOAA-20 as well as the MHS/AMSU-A onboard Metop-A, Metop-B, Metop-C and NOAA-19.
ESSIC/CISESS Assistant Research Scientist Zhuosen Wang is a co-author on a letter in Science titled “Retired Satellites: A Chance to Shed Light” alongside researchers from the Universities Space Research Association, German Research Centre for Geosciences, Cooperative Institute for Research in the Atmosphere, Earth Observation Center, and Northern Arizona University.
