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

19 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 2 2021
Externally published	Yes

Bibliographical note

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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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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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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AU - Camplani, Andrea

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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.

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KW - Microphysics

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KW - Snow

KW - TRMM

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

Abstract

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Keywords

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