Impact of Mass–Size Parameterizations of Frozen Hydrometeors on Microphysical Retrievals: Evaluation by Matching Radar to In Situ Observations from GCPEx and OLYMPEx
| Autor: | V. Chandrasekar, Michael P. Johnson, Andrew J. Heymsfield, Simone Tanelli, Manuel Vega, Kwo-Sen Kuo, Stephen L. Durden, Robert M. Beauchamp, N. Niamsuwan, Aaron Bansemer, Ousmane O. Sy |
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| Rok vydání: | 2020 |
| Předmět: |
In situ
Atmospheric Science Cloud microphysics Matching (statistics) 010504 meteorology & atmospheric sciences Scattering 020206 networking & telecommunications Ocean Engineering 02 engineering and technology 01 natural sciences law.invention Radar observations law 0202 electrical engineering electronic engineering information engineering Radar Geology 0105 earth and related environmental sciences Remote sensing |
| Zdroj: | Journal of Atmospheric and Oceanic Technology. 37:993-1012 |
| ISSN: | 1520-0426 0739-0572 |
| Popis: | This article illustrates how multifrequency radar observations can refine the mass–size parameterization of frozen hydrometeors in scattering models and improve the correlation between the radar observations and in situ measurements of microphysical properties of ice and snow. The data presented in this article were collected during the GPM Cold Season Precipitation Experiment (GCPEx) (2012) and Olympic Mountain Experiment (OLYMPEx) (2015) field campaigns, where the true mass–size relationship was not measured. Starting from size and shape distributions of ice particles measured in situ, scattering models are used to simulate an ensemble of reflectivity factors for various assumed mass–size parameterizations (MSP) of the power-law type. This ensemble is then collocated to airborne and ground-based radar observations, and the MSPs are refined by retaining only those that reproduce the radar observations to a prescribed level of accuracy. A versatile “retrieval dashboard” is built to jointly analyze the optimal MSPs and associated retrievals. The analysis shows that the optimality of an MSP depends on the physical assumptions made in the scattering simulators. This work confirms also the existence of a relationship between parameters of the optimal MSPs. Through the MSP optimization, the retrievals of ice water contentMand mean diameterDmseem robust to the change in meteorological regime (between GCPEx and OLYMPEx); whereas the retrieval of the diameter spreadSmseems more campaign dependent. |
| Databáze: | OpenAIRE |
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