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Volume 13
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10.3390/rs13122264
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Article

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

by
F. Joseph Turk
1,*,
Sarah E. Ringerud
2,3,
Andrea Camplani
4,5,
Daniele Casella
5,
Randy J. Chase
6,7,
Ardeshir Ebtehaj
8,
Jie Gong
3,9,
Mark Kulie
10,
Guosheng Liu
11,
Lisa Milani
2,3,
Giulia Panegrossi
5,
Ramon Padullés
12,13,
Jean-François Rysman
14,
Paolo Sanò
5,
Sajad Vahedizade
8 and
Norman B. Wood
15
1
Jet Propulsion Laboratory (JPL), California Institute of Technology, Pasadena, CA 91101, USA
2
Earth Systems Science Interdisciplinary Center (ESSIC), University of Maryland, College Park, MD 20740, USA
3
NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
4
Department of Civil, Construction and Environmental Engineering, Geodesy and Geomatics Division, Sapienza University of Rome, 00185 Rome, Italy
5
National Research Council of Italy, Institute of Atmospheric Sciences and Climate (CNR-ISAC), 00133 Rome, Italy
6
School of Computer Science, University of Oklahoma, Norman, OK 73072, USA
7
School of Meteorology, University of Oklahoma, Norman, OK 73072, USA
8
Department of Civil, Environmental and Geo-Engineering, University of Minnesota, Minneapolis, MN 55455, USA
9
Universities Space Research Association, Columbia, MD 21046, USA
10
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
11
Department of Earth, Ocean and Atmospheric Science, Florida State University, Tallahassee, FL 32306, USA
12
Instituto de Ciencias del Espacio (ICE-CSIC/IEEC), 08193 Barcelona, Spain
13
Institut d’Estudis Espacials de Catalunya (IEEC), 08034 Barcelona, Spain
14
LMD/IPSL, École Polytechnique, Institut Polytechnique de Paris, ENS, PSL Université, Sorbonne Université, CNRS, 91128 Palaiseau, France
15
Space Science and Engineering Center, University of Wisconsin, Madison, WI 53706, USA
 
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*
Author to whom correspondence should be addressed.
Academic Editor: Ismail Gultepe
Remote Sens. 2021, 13(12), 2264; https://doi.org/10.3390/rs13122264
Received: 30 April 2021 / Revised: 6 June 2021 / Accepted: 7 June 2021 / Published: 9 June 2021
(This article belongs to the Special Issue Remote Sensing of Precipitation at the Mid- to High-Latitudes)
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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. View Full-Text
Keywords: GPM; TRMM; CloudSat; ice; radar; radiometer; microwave; precipitation; snow; emissivity; microphysics GPM; TRMM; CloudSat; ice; radar; radiometer; microwave; precipitation; snow; emissivity; microphysics
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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MDPI and ACS Style

Turk, F.J.; Ringerud, S.E.; Camplani, A.; Casella, D.; Chase, R.J.; Ebtehaj, A.; Gong, J.; Kulie, M.; Liu, G.; Milani, L.; Panegrossi, G.; Padullés, R.; Rysman, J.-F.; Sanò, P.; Vahedizade, S.; Wood, N.B. Applications of a CloudSat-TRMM and CloudSat-GPM Satellite Coincidence Dataset. Remote Sens. 2021, 13, 2264. https://doi.org/10.3390/rs13122264

AMA Style

Turk FJ, Ringerud SE, Camplani A, Casella D, Chase RJ, Ebtehaj A, Gong J, Kulie M, Liu G, Milani L, Panegrossi G, Padullés R, Rysman J-F, Sanò P, Vahedizade S, Wood NB. Applications of a CloudSat-TRMM and CloudSat-GPM Satellite Coincidence Dataset. Remote Sensing. 2021; 13(12):2264. https://doi.org/10.3390/rs13122264

Chicago/Turabian Style

Turk, F. Joseph, 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, and Norman B. Wood. 2021. "Applications of a CloudSat-TRMM and CloudSat-GPM Satellite Coincidence Dataset" Remote Sensing 13, no. 12: 2264. https://doi.org/10.3390/rs13122264

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