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Modeling the Radiative Effect on Microphysics in Cirrus Clouds Against Satellite Observations

The radiative effect on microphysics (REM) plays an important role in the dew/frost formation near the surface. How REM impacts cirrus clouds is investigated in this study, using bin microphysical model simulations and coincident data of the CloudSat and Global Precipitation Measurement (GPM) satell...

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Autores principales: Zeng, Xiping, Gong, Jie, Li, Xiaowen, Wu, Dong L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7988659/
https://www.ncbi.nlm.nih.gov/pubmed/33791184
http://dx.doi.org/10.1029/2020JD033923
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author Zeng, Xiping
Gong, Jie
Li, Xiaowen
Wu, Dong L.
author_facet Zeng, Xiping
Gong, Jie
Li, Xiaowen
Wu, Dong L.
author_sort Zeng, Xiping
collection PubMed
description The radiative effect on microphysics (REM) plays an important role in the dew/frost formation near the surface. How REM impacts cirrus clouds is investigated in this study, using bin microphysical model simulations and coincident data of the CloudSat and Global Precipitation Measurement (GPM) satellites. REM affects ice crystal spectrum with two types: radiative cooling and warming. Radiative cooling, as predicted by the bin‐model simulations, favors the formation of horizontally oriented ice crystals (HOICs), but radiative warming does not. Hence, a test of REM can be transformed to a test of HOICs, because HOICs can be measured by the microwave polarization observations of the GPM Microwave Imager (GMI) at 166 GHz. To analyze the GMI data for their HOIC distribution, clouds are sorted into four groups with different optical depth and altitude, based on the radiative cooling/warming ratio (or eta) computed with satellite‐retrieved ice water content. Their HOIC distributions (e.g., the midlevel thick clouds have more HOICs than the high‐level ones) agree well with those predicted by the bin‐model simulations. The general agreement between the GMI observations and bin‐model simulations suggests that REM is common in cirrus clouds and impacts cirrus clouds significantly.
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spelling pubmed-79886592021-03-29 Modeling the Radiative Effect on Microphysics in Cirrus Clouds Against Satellite Observations Zeng, Xiping Gong, Jie Li, Xiaowen Wu, Dong L. J Geophys Res Atmos Research Article The radiative effect on microphysics (REM) plays an important role in the dew/frost formation near the surface. How REM impacts cirrus clouds is investigated in this study, using bin microphysical model simulations and coincident data of the CloudSat and Global Precipitation Measurement (GPM) satellites. REM affects ice crystal spectrum with two types: radiative cooling and warming. Radiative cooling, as predicted by the bin‐model simulations, favors the formation of horizontally oriented ice crystals (HOICs), but radiative warming does not. Hence, a test of REM can be transformed to a test of HOICs, because HOICs can be measured by the microwave polarization observations of the GPM Microwave Imager (GMI) at 166 GHz. To analyze the GMI data for their HOIC distribution, clouds are sorted into four groups with different optical depth and altitude, based on the radiative cooling/warming ratio (or eta) computed with satellite‐retrieved ice water content. Their HOIC distributions (e.g., the midlevel thick clouds have more HOICs than the high‐level ones) agree well with those predicted by the bin‐model simulations. The general agreement between the GMI observations and bin‐model simulations suggests that REM is common in cirrus clouds and impacts cirrus clouds significantly. John Wiley and Sons Inc. 2021-02-19 2021-02-27 /pmc/articles/PMC7988659/ /pubmed/33791184 http://dx.doi.org/10.1029/2020JD033923 Text en © 2021. The Authors. This article has been contributed to by US Government employees and their work is in the public domain in the USA. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Zeng, Xiping
Gong, Jie
Li, Xiaowen
Wu, Dong L.
Modeling the Radiative Effect on Microphysics in Cirrus Clouds Against Satellite Observations
title Modeling the Radiative Effect on Microphysics in Cirrus Clouds Against Satellite Observations
title_full Modeling the Radiative Effect on Microphysics in Cirrus Clouds Against Satellite Observations
title_fullStr Modeling the Radiative Effect on Microphysics in Cirrus Clouds Against Satellite Observations
title_full_unstemmed Modeling the Radiative Effect on Microphysics in Cirrus Clouds Against Satellite Observations
title_short Modeling the Radiative Effect on Microphysics in Cirrus Clouds Against Satellite Observations
title_sort modeling the radiative effect on microphysics in cirrus clouds against satellite observations
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7988659/
https://www.ncbi.nlm.nih.gov/pubmed/33791184
http://dx.doi.org/10.1029/2020JD033923
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