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.

Applications of a cloudsat-trmm and cloudsat-gpm satellite coincidence dataset / 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.; Padulles, R.; Rysman, J. -F.; Sano, P.; Vahedizade, S.; Wood, N. B.. - In: REMOTE SENSING. - ISSN 2072-4292. - 13:12(2021), p. 2264. [10.3390/rs13122264]

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

Camplani A.;
2021

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.
2021
CloudSat; Emissiv-ity; GPM; Ice; Microphysics; Microwave; Precipitation; Radar; Radiometer; Snow; TRMM
01 Pubblicazione su rivista::01a Articolo in rivista
Applications of a cloudsat-trmm and cloudsat-gpm satellite coincidence dataset / 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.; Padulles, R.; Rysman, J. -F.; Sano, P.; Vahedizade, S.; Wood, N. B.. - In: REMOTE SENSING. - ISSN 2072-4292. - 13:12(2021), p. 2264. [10.3390/rs13122264]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1621501
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