1. Applications of a cloudsat-trmm and cloudsat-gpm satellite coincidence dataset
- Author
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Andrea Camplani, Giulia Panegrossi, Jean François Rysman, Ardeshir Ebtehaj, Daniele Casella, Sajad Vahedizade, Ramon Padullés, Guosheng Liu, Jie Gong, F. Joseph Turk, Norman B. Wood, Paolo Sanò, Lisa Milani, Mark S. Kulie, Sarah Ringerud, Randy J. Chase, National Aeronautics and Space Administration (US), California Institute of Technology (CALTECH), Earth Science System Interdisciplinary Center [College Park] (ESSIC), College of Computer, Mathematical, and Natural Sciences [College Park], University of Maryland [College Park], University of Maryland System-University of Maryland System-University of Maryland [College Park], University of Maryland System-University of Maryland System, NASA Goddard Space Flight Center (GSFC), Department of Informatics and System Sciences (Sapienza University of Rome), Università degli Studi di Roma 'La Sapienza' = Sapienza University [Rome], CNR Institute of Atmospheric Sciences and Climate (ISAC), Consiglio Nazionale delle Ricerche (CNR), University of Oklahoma (OU), Department of Civil, Environmental and Geo-Engineering [Minneapolis], University of Minnesota [Twin Cities] (UMN), University of Minnesota System-University of Minnesota System, National Oceanic and Atmospheric Administration (NOAA), Florida State University [Tallahassee] (FSU), Laboratoire de Météorologie Dynamique (UMR 8539) (LMD), Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-École des Ponts ParisTech (ENPC)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Département des Géosciences - ENS Paris, École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), University of Minnesota System, and University of Wisconsin-Madison
- Subjects
010504 meteorology & atmospheric sciences ,Science ,0211 other engineering and technologies ,02 engineering and technology ,Precipitation ,01 natural sciences ,Microphysics ,law.invention ,CloudSat ,law ,Cloud sat ,Snow ,Emissivity ,Radar ,TRMM ,021101 geological & geomatics engineering ,0105 earth and related environmental sciences ,Remote sensing ,[PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph] ,Radiometer ,Ice ,13. Climate action ,GPM ,ice ,radar ,radiometer ,microwave ,precipitation ,snow ,emissivity ,microphysics ,General Earth and Planetary Sciences ,Environmental science ,Satellite ,Global Precipitation Measurement ,Microwave - Abstract
The Global Precipitation Measurement (GPM) Dual-Frequency Precipitation Radar (DPR) (Ku-and Ka-band, or 14 and 35 GHz) provides the capability to resolve the precipitation structure under moderate to heavy precipitation conditions. In this manuscript, the use of near-coincident observations between GPM and the CloudSat Profiling Radar (CPR) (W-band, or 94 GHz) are demonstrated to extend the capability of representing light rain and cold-season precipitation from DPR and the GPM passive microwave constellation sensors. These unique triple-frequency data have opened up applications related to cold-season precipitation, ice microphysics, and light rainfall and surface emissivity effects., J.G. acknowledges the efforts by Ian Adams (NASA Goddard Space Flight Center) for support of airborne data collection during the IMPACTS campaign, and support from NASA grant 80NSSC20K0087.
- Published
- 2021