Earth Science Branch

The Earth Science Branch conducts research of the Earth as a system with a focus on lightning and precipitation processes, weather and climate variability, monitoring fluxes of heat and water from the surface, and associated data management and mining activities for scientific discovery and applications for societal benefit.

Earth Science Branch Projects

Support for the National Artificial Intelligence Research Resource (NAIRR) Pilot Program

February 27, 2024

The National AI Research Resource (NAIRR) pilot program led by OSTP/NSF went live on 1/24/23. The NAIRR pilot is a first step towards realizing the administration’s vision for a shared research infrastructure that will strengthen and democratize access to critical …

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“Trends in Nighttime Fires in South/Southeast Asian Countries” Published in the Journal Atmosphere

February 27, 2024

Krishna Vadrevu (ST11) served as the primary author, with Aditya Eaturu (UAH) as co-author, for the paper titled “Trends in Nighttime Fires in South/Southeast Asian Countries,” published in the journal Atmosphere. The research focuses on nighttime vegetation fire trends using …

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Article on Advanced Microwave Precipitation Radiometer Observations of Winter Storms Accepted for Publication

February 27, 2024

Timothy Lang (ST11) is a coauthor on an article titled, “An Airborne Multi-Band Microwave Analysis of Precipitation Within Two Winter Cyclones,” which was recently accepted for publication in the Monthly Weather Review. The article – which was led by Amanda …

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Review of Drivers of Environmental Change Across Southeast Asia Published in Remote Sensing applications: Society and Environment

February 27, 2024

Pontus Olofsson (ST11) co-authored a paper titled “Review of drivers of forest degradation and deforestation in Southeast Asia.” The study, funded by a grant from the NASA Carbon Monitoring System awarded to Olofsson, presents a review of studies of drivers …

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Co-Authored Paper on Data-Centric Machine Learning Research

February 27, 2024

Manil Maskey (ST1) co-authored a position paper entitled “Data-centric Machine Learning Research — Past, Present and Future.” The pre-print of the paper is available at https://arxiv.org/abs/2311.13028. This work represents a joint effort by experts in artificial intelligence from industry, government, …

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