Applications of a CloudSat-TRMM and CloudSat-GPM Satellite Coincidence Dataset

F. Joseph Turk; Sarah E. Ringerud; Andrea Camplani; Daniele Casella; Randy J. Chase; Ardeshir Ebtehaj; Jie Gong; Mark Kulie; Guosheng Liu; Lisa Milani; Giulia Panegrossi; Ramon Padullés; Jean-François Rysman; Paolo Sanò; Sajad Vahedizade; Norman B. Wood

doi:10.3390/rs13122264

Remote Sensing (Jun 2021)

Applications of a CloudSat-TRMM and CloudSat-GPM Satellite Coincidence Dataset

F. Joseph Turk,
Sarah E. Ringerud,
Andrea Camplani,
Daniele Casella,
Randy J. Chase,
Ardeshir Ebtehaj,
Jie Gong,
Mark Kulie,
Guosheng Liu,
Lisa Milani,
Giulia Panegrossi,
Ramon Padullés,
Jean-François Rysman,
Paolo Sanò,
Sajad Vahedizade,
Norman B. Wood

Affiliations

F. Joseph Turk: Jet Propulsion Laboratory (JPL), California Institute of Technology, Pasadena, CA 91101, USA
Sarah E. Ringerud: Earth Systems Science Interdisciplinary Center (ESSIC), University of Maryland, College Park, MD 20740, USA
Andrea Camplani: Department of Civil, Construction and Environmental Engineering, Geodesy and Geomatics Division, Sapienza University of Rome, 00185 Rome, Italy
Daniele Casella: National Research Council of Italy, Institute of Atmospheric Sciences and Climate (CNR-ISAC), 00133 Rome, Italy
Randy J. Chase: School of Computer Science, University of Oklahoma, Norman, OK 73072, USA
Ardeshir Ebtehaj: Department of Civil, Environmental and Geo-Engineering, University of Minnesota, Minneapolis, MN 55455, USA
Jie Gong: NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
Mark Kulie: National Oceanic and Atmospheric Administration (NOAA), National Environmental Satellite, Data and Information Service (NESDIS), Center for Satellite Applications and Research (STAR), Advanced Satellite Products Branch (ASPB), Madison, WI 53706, USA
Guosheng Liu: Department of Earth, Ocean and Atmospheric Science, Florida State University, Tallahassee, FL 32306, USA
Lisa Milani: Earth Systems Science Interdisciplinary Center (ESSIC), University of Maryland, College Park, MD 20740, USA
Giulia Panegrossi: National Research Council of Italy, Institute of Atmospheric Sciences and Climate (CNR-ISAC), 00133 Rome, Italy
Ramon Padullés: Instituto de Ciencias del Espacio (ICE-CSIC/IEEC), 08193 Barcelona, Spain
Jean-François Rysman: LMD/IPSL, École Polytechnique, Institut Polytechnique de Paris, ENS, PSL Université, Sorbonne Université, CNRS, 91128 Palaiseau, France
Paolo Sanò: National Research Council of Italy, Institute of Atmospheric Sciences and Climate (CNR-ISAC), 00133 Rome, Italy
Sajad Vahedizade: Department of Civil, Environmental and Geo-Engineering, University of Minnesota, Minneapolis, MN 55455, USA
Norman B. Wood: Space Science and Engineering Center, University of Wisconsin, Madison, WI 53706, USA

DOI: https://doi.org/10.3390/rs13122264
Journal volume & issue: Vol. 13, no. 12
p. 2264

Abstract

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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.

Published in Remote Sensing

ISSN: 2072-4292 (Online)
Publisher: MDPI AG
Country of publisher: Switzerland
LCC subjects: Science
Website: http://www.mdpi.com/journal/remotesensing/

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