Improved rain rate and drop size retrievals from airborne Doppler radar

Mason, S. L. ORCID: https://orcid.org/0000-0002-9699-8850, Chiu, J. C., Hogan, R. J. ORCID: https://orcid.org/0000-0002-3180-5157 and Tian, L. (2017) Improved rain rate and drop size retrievals from airborne Doppler radar. Atmospheric Chemistry and Physics, 17 (18). pp. 11567-11589. ISSN 1680-7324 doi: 10.5194/acp-17-11567-2017

Abstract/Summary

Satellite remote sensing of rain is important for quantifying the hydrological cycle, atmospheric energy budget, and cloud and precipitation processes; however, radar retrievals of rain rate are sensitive to assumptions about the raindrop size distribution. The upcoming EarthCARE satellite will feature a 94 GHz Doppler radar alongside lidar and radiometer instruments, presenting opportunities for enhanced retrievals of the raindrop size distribution. We demonstrate the capability to retrieve rain rate as a function of drop size and drop number concentration from airborne 94 GHz Doppler radar measurements using CAPTIVATE, the variational retrieval algorithm developed for EarthCARE. For a range of rain regimes observed during the Tropical Composition, Cloud and Climate Coupling field campaign, we explore the contributions of mean Doppler velocity and path-integrated attenuation (PIA) measurements to the retrieval of rain rate, and the retrievals are evaluated against independent measurements from an independent 9.6 GHz Doppler radar. The retrieved drop number concentrations vary over 5 orders of magnitude between very light rain from melting ice and warm rain from liquid clouds. In light rain conditions mean Doppler velocity facilitates estimates of rain rate without PIA, suggesting the possibility of EarthCARE rain rate estimates over land; in moderate warm rain, drop number concentration can be retrieved without mean Doppler velocity, with possible applications to CloudSat.

Item Type	Article
URI	https://reading-clone.eprints-hosting.org/id/eprint/72736
Identification Number/DOI	10.5194/acp-17-11567-2017
Refereed	Yes
Divisions	Science > School of Mathematical, Physical and Computational Sciences > National Centre for Earth Observation (NCEO) Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology
Publisher	European Geosciences Union
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