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

Science Division
University of Maryland, College Park
NASA Goddard Space Flight Center
University of Rome
Ev-K2-CNR Committee
University of Oklahoma
University of Oklahoma
University of Minnesota
Universities Space Research Association
National Oceanic and Atmospheric Administration
Florida State University
Institut d’Estudis Espacials de Catalunya (IEEC)
Université PSL
University of Wisconsin-Madison

Résultats de recherche: Contribution à un journal › Article › Revue par des pairs

Résumé

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.

langue originale	Anglais
Numéro d'article	2264
journal	Remote Sensing
Volume	13
Numéro de publication	12
Les DOIs	https://doi.org/10.3390/rs13122264
état	Publié - 2 juin 2021
Modification externe	Oui

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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

@article{c0ed7c50005141ea8c1a265f5c5937b2,

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.",

keywords = "CloudSat, Emissiv-ity, GPM, Ice, Microphysics, Microwave, Precipitation, Radar, Radiometer, Snow, TRMM",

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 = "Publisher Copyright: {\textcopyright} 2021 by the authors. Licensee MDPI, Basel, Switzerland.",

year = "2021",

month = jun,

day = "2",

doi = "10.3390/rs13122264",

language = "English",

volume = "13",

journal = "Remote Sensing",

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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.

PY - 2021/6/2

Y1 - 2021/6/2

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

UR - https://www.scopus.com/pages/publications/85108352890

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DO - 10.3390/rs13122264

M3 - Article

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SN - 2072-4292

VL - 13

JO - Remote Sensing

JF - Remote Sensing

IS - 12

M1 - 2264

ER -

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

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