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Article

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

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Jet Propulsion Laboratory (JPL), California Institute of Technology, Pasadena, CA 91101, USA
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Earth Systems Science Interdisciplinary Center (ESSIC), University of Maryland, College Park, MD 20740, USA
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NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
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Department of Civil, Construction and Environmental Engineering, Geodesy and Geomatics Division, Sapienza University of Rome, 00185 Rome, Italy
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National Research Council of Italy, Institute of Atmospheric Sciences and Climate (CNR-ISAC), 00133 Rome, Italy
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School of Computer Science, University of Oklahoma, Norman, OK 73072, USA
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School of Meteorology, University of Oklahoma, Norman, OK 73072, USA
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Department of Civil, Environmental and Geo-Engineering, University of Minnesota, Minneapolis, MN 55455, USA
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Universities Space Research Association, Columbia, MD 21046, USA
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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
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Department of Earth, Ocean and Atmospheric Science, Florida State University, Tallahassee, FL 32306, USA
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Instituto de Ciencias del Espacio (ICE-CSIC/IEEC), 08193 Barcelona, Spain
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Institut d’Estudis Espacials de Catalunya (IEEC), 08034 Barcelona, Spain
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LMD/IPSL, École Polytechnique, Institut Polytechnique de Paris, ENS, PSL Université, Sorbonne Université, CNRS, 91128 Palaiseau, France
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Space Science and Engineering Center, University of Wisconsin, Madison, WI 53706, USA
*
Author to whom correspondence should be addressed.
Academic Editor: Ismail Gultepe
Remote Sens. 2021, 13(12), 2264; https://0-doi-org.brum.beds.ac.uk/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)
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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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://0-doi-org.brum.beds.ac.uk/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://0-doi-org.brum.beds.ac.uk/10.3390/rs13122264

Chicago/Turabian Style

Turk, F. J., 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://0-doi-org.brum.beds.ac.uk/10.3390/rs13122264

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