Title | ||
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Scientific Products From the First Radar in a CubeSat (RainCube): Deconvolution, Cross-Validation, and Retrievals |
Abstract | ||
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RainCube (Radar In a CubeSat), developed by the Jet Propulsion Laboratory (JPL) and launched in 2018, was a technology demonstration supported by NASA. RainCube’s radar is the first spaceborne profiling radar fitting on a platform as small as a 6U (
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) CubeSat. This article shows how, despite its smaller size compared to traditional spaceborne radars, RainCube was able to measure clouds and precipitation in the mid-latitude and intertropical regions. Moreover, since RainCube’s measurements are oversampled in the along-track (AT) direction, the horizontal resolution can be enhanced by a robust Wiener deconvolution algorithm. After more than two and a half years of operation, the RainCube mission came to an end on 24 December 2020. The collected record of Ka-band radar profiles compares favorably to collocated measurements from other ground-based and spaceborne radars both radiometrically and geophysically. The examples of multiradar collocations also provide some insights into the potential of constellations of spaceborne radars to study clouds and storms. |
Year | DOI | Venue |
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2022 | 10.1109/TGRS.2021.3073990 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | DocType | Volume |
Atmospheric radar,clouds and precipitation,CubeSat | Journal | 60 |
ISSN | Citations | PageRank |
0196-2892 | 0 | 0.34 |
References | Authors | |
0 | 13 |
Name | Order | Citations | PageRank |
---|---|---|---|
Sy, O.O. | 1 | 7 | 4.19 |
Simone Tanelli | 2 | 67 | 22.02 |
Stephen L. Durden | 3 | 55 | 41.58 |
eva peral | 4 | 3 | 2.52 |
Gian-Franco Sacco | 5 | 0 | 0.34 |
Nacer Chahat | 6 | 0 | 0.68 |
Svetla Hristova-Veleva | 7 | 16 | 5.90 |
andrew j heymsfield | 8 | 3 | 1.35 |
Aaron Bansemer | 9 | 0 | 0.34 |
Brian Knosp | 10 | 0 | 0.34 |
Gregg Dobrowalski | 11 | 0 | 0.34 |
Peggy P. Li | 12 | 0 | 0.34 |
Quoc Vu | 13 | 0 | 0.34 |