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

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

Civil, Environmental, and Geo- Engineering

Research output: Contribution to journal › Article › peer-review

27 Scopus citations

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.

Original language	English (US)
Article number	2264
Journal	Remote Sensing
Volume	13
Issue number	12
DOIs	https://doi.org/10.3390/rs13122264
State	Published - Jun 9 2021

Bibliographical note

Funding Information:
Funding: 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. G.P., P.S. and D.C. would like to thank the support from the RainCast study (ESA Contract No.4000125959/18/NL/NA) and from the EUMETSAT Satellite Application Facility for Operational Hydrology and Water management (H SAF) Third Continuous and Operations Phase (CDOP-3). A.C. is supported by the program in Infrastructures, Transport Systems and Geomatics at the Department of Civil, Constructional, and Environmental Engineering at Sapienza University of Rome. The PMM Research Program is acknowledged for supporting H SAF and GPM scientific collaboration through the approval of the no-cost proposal “H SAF and GPM: Precipitation algorithm development and validation activity”.

Publisher Copyright:
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.

Keywords

CloudSat
Emissiv-ity
GPM
Ice
Microphysics
Microwave
Precipitation
Radar
Radiometer
Snow
TRMM

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10.3390/rs13122264

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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. (2021). Applications of a cloudsat-trmm and cloudsat-gpm satellite coincidence dataset. Remote Sensing, 13(12), Article 2264. https://doi.org/10.3390/rs13122264

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title = "Applications of a cloudsat-trmm and cloudsat-gpm satellite coincidence dataset",

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.",

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author = "Turk, {F. Joseph} and Ringerud, {Sarah E.} and Andrea Camplani and Daniele Casella and Chase, {Randy J.} and Ardeshir Ebtehaj and Jie Gong and Mark Kulie and Guosheng Liu and Lisa Milani and Giulia Panegrossi and Ramon Padull{\'e}s and Rysman, {Jean Fran{\c c}ois} and Paolo San{\`o} and Sajad Vahedizade and Wood, {Norman B.}",

note = "Funding Information: Funding: 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. G.P., P.S. and D.C. would like to thank the support from the RainCast study (ESA Contract No.4000125959/18/NL/NA) and from the EUMETSAT Satellite Application Facility for Operational Hydrology and Water management (H SAF) Third Continuous and Operations Phase (CDOP-3). A.C. is supported by the program in Infrastructures, Transport Systems and Geomatics at the Department of Civil, Constructional, and Environmental Engineering at Sapienza University of Rome. The PMM Research Program is acknowledged for supporting H SAF and GPM scientific collaboration through the approval of the no-cost proposal “H SAF and GPM: Precipitation algorithm development and validation activity”. Publisher Copyright: {\textcopyright} 2021 by the authors. Licensee MDPI, Basel, Switzerland.",

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language = "English (US)",

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T1 - Applications of a cloudsat-trmm and cloudsat-gpm satellite coincidence dataset

AU - Turk, F. Joseph

AU - Ringerud, Sarah E.

AU - Camplani, Andrea

AU - Casella, Daniele

AU - Chase, Randy J.

AU - Ebtehaj, Ardeshir

AU - Gong, Jie

AU - Kulie, Mark

AU - Liu, Guosheng

AU - Milani, Lisa

AU - Panegrossi, Giulia

AU - Padullés, Ramon

AU - Rysman, Jean François

AU - Sanò, Paolo

AU - Vahedizade, Sajad

AU - Wood, Norman B.

N1 - Funding Information: Funding: 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. G.P., P.S. and D.C. would like to thank the support from the RainCast study (ESA Contract No.4000125959/18/NL/NA) and from the EUMETSAT Satellite Application Facility for Operational Hydrology and Water management (H SAF) Third Continuous and Operations Phase (CDOP-3). A.C. is supported by the program in Infrastructures, Transport Systems and Geomatics at the Department of Civil, Constructional, and Environmental Engineering at Sapienza University of Rome. The PMM Research Program is acknowledged for supporting H SAF and GPM scientific collaboration through the approval of the no-cost proposal “H SAF and GPM: Precipitation algorithm development and validation activity”. Publisher Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland.

PY - 2021/6/9

Y1 - 2021/6/9

N2 - 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.

AB - 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.

KW - CloudSat

KW - Emissiv-ity

KW - GPM

KW - Ice

KW - Microphysics

KW - Microwave

KW - Precipitation

KW - Radar

KW - Radiometer

KW - Snow

KW - TRMM

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DO - 10.3390/rs13122264

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VL - 13

JO - Remote Sensing

JF - Remote Sensing

IS - 12

M1 - 2264

ER -

Applications of a cloudsat-trmm and cloudsat-gpm satellite coincidence dataset

Abstract

Bibliographical note

Keywords

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