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

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

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
Article number	2264
Journal	Remote Sensing
Volume	13
Issue number	12
DOIs	https://doi.org/10.3390/rs13122264
Publication status	Published - 2 Jun 2021
Externally published	Yes

Keywords

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

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10.3390/rs13122264

Cite this

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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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.

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

U2 - 10.3390/rs13122264

DO - 10.3390/rs13122264

M3 - Article

AN - SCOPUS:85108352890

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

Abstract

Keywords

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