Applications of a CloudSat-TRMM and CloudSat-GPM Satellite Coincidence Dataset

F. Joseph Joseph Turk (1) , Sarah E Ringerud (2, 3) , Andrea Camplani (4) , Daniele Casella (5) , Randy J Chase (6) , Ardeshir Ebtehaj (7) , Jie Gong (3) , Mark Kulie (8) , Guosheng Liu (9) , Lisa Milani (3, 2) , Giulia Panegrossi (5) , Ramon Padullés (9) , Jean-François Rysman (10) , Paolo Sanò (5) , Sajad Vahedizade (11) , Norman B Wood (12)

1 CALTECH - California Institute of Technology
2 ESSIC - Earth Science System Interdisciplinary Center [College Park]
3 GSFC - NASA Goddard Space Flight Center
4 Sapienza University of Rome - Department of Informatics and System Sciences
5 ISAC - CNR Institute of Atmospheric Sciences and Climate
6 OU - University of Oklahoma
7 Department of Civil, Environmental and Geo-Engineering [Minneapolis]
8 NOAA - National Oceanic and Atmospheric Administration
9 FSU - Florida State University [Tallahassee]
10 LMD - Laboratoire de Météorologie Dynamique (UMR 8539)
11 UMN - University of Minnesota [Twin Cities]
12 University of Wisconsin-Madison

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.

Mots clés: GPM; TRMM; CloudSat; ice; radar; radiometer; microwave; precipitation; snow; emissivity; microphysics

Domaines: Physique Atmosphérique et Océanique [physics.ao-ph]

F. Joseph Joseph Turk, Sarah E Ringerud, Andrea Camplani, Daniele Casella, Randy J Chase, et al.. Applications of a CloudSat-TRMM and CloudSat-GPM Satellite Coincidence Dataset. Remote Sensing, 2021, 13 (12), pp.2264. ⟨10.3390/rs13122264⟩. ⟨hal-03278109⟩