Cargando…
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...
Autores principales: | , , , |
---|---|
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 |
_version_ | 1783668828681535488 |
---|---|
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. |
format | Online Article Text |
id | pubmed-7988659 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT zengxiping modelingtheradiativeeffectonmicrophysicsincirruscloudsagainstsatelliteobservations AT gongjie modelingtheradiativeeffectonmicrophysicsincirruscloudsagainstsatelliteobservations AT lixiaowen modelingtheradiativeeffectonmicrophysicsincirruscloudsagainstsatelliteobservations AT wudongl modelingtheradiativeeffectonmicrophysicsincirruscloudsagainstsatelliteobservations |