Princeton University / Lamont-Doherty Earth Observatory / Harvard-Smithsonian Center / Columbia University / Harvard University / /
IndustryTerm
neural network algorithms / geostationary satellite / surface network / sparse surface network / geostationary satellite mission / chemical transport models / long-lived chemical species / expected-value operator / geostationary satellite instrument / satellite instrument flying / proposed satellite imager / satellite measurements / geostationary satellite measurements / chemical transport model / satellite instruments / satellite data / chemical mechanisms / synthetic satellite data / geostationary satellite observations / satellite instrument / satellite observations / neural network algorithm / surface site / trends network / observation operator / satellite observation system simulation experiment / geostationary satellite missions / Synthetic satellite measurement imagery / /
NaturalFeature
Sierra Nevada/Cascades / Rocky Mountains / US Intermountain West ocean / /
Organization
European Geosciences Union / United States Environmental Protection Agency / Columbia University / Harvard University / US Environmental Protection Agency / Princeton University / EGU General Assembly / TEMPO mission / NASA Global Modeling and Assimilation Office / Department of Earth and Planetary Sciences / NASA Earth Science Division / National Aeronautics and Space Administration / Department of Earth / Smithsonian Center for Astrophysics / /
Person
LEO IASI / Jacob / Peter Zoogman / Environ / Hiram / II / /
Position
D. J. / model / forward model for data assimilation / representative / /
Product
Atmos / /
ProgrammingLanguage
K / E / /
ProvinceOrState
New Jersey / Wyoming / New Mexico / California / Colorado / /
Region
Eastern US / Asia- Pacific / western United States / East Asia / western U. S. / northern New Mexico / Western US / /