Using surface remote sensors to derive radiative characteristics of Mixed-Phase Clouds: an example from M-PACE

Measurements from ground-based cloud radar, high spectral resolution lidar and microwave radiometer are used in conjunction with a column version of the Rapid Radiative Transfer Model (RRTMG) and radiosonde measurements to derive the surface radiative properties under mixed-phase cloud conditions. T...

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Published in:Atmospheric Chemistry and Physics
Main Authors: Boer, G., Collins, W. D., Menon, S., Long, C. N.
Format: Text
Language:English
Published: 2018
Subjects:
Online Access:https://doi.org/10.5194/acp-11-11937-2011
https://www.atmos-chem-phys.net/11/11937/2011/
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spelling ftcopernicus:oai:publications.copernicus.org:acp10997 2023-05-15T15:08:27+02:00 Using surface remote sensors to derive radiative characteristics of Mixed-Phase Clouds: an example from M-PACE Boer, G. Collins, W. D. Menon, S. Long, C. N. 2018-01-15 application/pdf https://doi.org/10.5194/acp-11-11937-2011 https://www.atmos-chem-phys.net/11/11937/2011/ eng eng doi:10.5194/acp-11-11937-2011 https://www.atmos-chem-phys.net/11/11937/2011/ eISSN: 1680-7324 Text 2018 ftcopernicus https://doi.org/10.5194/acp-11-11937-2011 2019-12-24T09:56:32Z Measurements from ground-based cloud radar, high spectral resolution lidar and microwave radiometer are used in conjunction with a column version of the Rapid Radiative Transfer Model (RRTMG) and radiosonde measurements to derive the surface radiative properties under mixed-phase cloud conditions. These clouds were observed during the United States Department of Energy (US DOE) Atmospheric Radiation Measurement (ARM) Mixed-Phase Arctic Clouds Experiment (M-PACE) between September and November of 2004. In total, sixteen half hour time periods are reviewed due to their coincidence with radiosonde launches. Cloud liquid (ice) water paths are found to range between 11.0–366.4 (0.5–114.1) gm −2 , and cloud physical thicknesses fall between 286–2075 m. Combined with temperature and hydrometeor size estimates, this information is used to calculate surface radiative flux densities using RRTMG, which are demonstrated to generally agree with measured flux densities from surface-based radiometric instrumentation. Errors in longwave flux density estimates are found to be largest for thin clouds, while shortwave flux density errors are generally largest for thicker clouds. A sensitivity study is performed to understand the impact of retrieval assumptions and uncertainties on derived surface radiation estimates. Cloud radiative forcing is calculated for all profiles, illustrating longwave dominance during this time of year, with net cloud forcing generally between 50 and 90 Wm −2 . Text Arctic Copernicus Publications: E-Journals Arctic Atmospheric Chemistry and Physics 11 23 11937 11949
institution Open Polar
collection Copernicus Publications: E-Journals
op_collection_id ftcopernicus
language English
description Measurements from ground-based cloud radar, high spectral resolution lidar and microwave radiometer are used in conjunction with a column version of the Rapid Radiative Transfer Model (RRTMG) and radiosonde measurements to derive the surface radiative properties under mixed-phase cloud conditions. These clouds were observed during the United States Department of Energy (US DOE) Atmospheric Radiation Measurement (ARM) Mixed-Phase Arctic Clouds Experiment (M-PACE) between September and November of 2004. In total, sixteen half hour time periods are reviewed due to their coincidence with radiosonde launches. Cloud liquid (ice) water paths are found to range between 11.0–366.4 (0.5–114.1) gm −2 , and cloud physical thicknesses fall between 286–2075 m. Combined with temperature and hydrometeor size estimates, this information is used to calculate surface radiative flux densities using RRTMG, which are demonstrated to generally agree with measured flux densities from surface-based radiometric instrumentation. Errors in longwave flux density estimates are found to be largest for thin clouds, while shortwave flux density errors are generally largest for thicker clouds. A sensitivity study is performed to understand the impact of retrieval assumptions and uncertainties on derived surface radiation estimates. Cloud radiative forcing is calculated for all profiles, illustrating longwave dominance during this time of year, with net cloud forcing generally between 50 and 90 Wm −2 .
format Text
author Boer, G.
Collins, W. D.
Menon, S.
Long, C. N.
spellingShingle Boer, G.
Collins, W. D.
Menon, S.
Long, C. N.
Using surface remote sensors to derive radiative characteristics of Mixed-Phase Clouds: an example from M-PACE
author_facet Boer, G.
Collins, W. D.
Menon, S.
Long, C. N.
author_sort Boer, G.
title Using surface remote sensors to derive radiative characteristics of Mixed-Phase Clouds: an example from M-PACE
title_short Using surface remote sensors to derive radiative characteristics of Mixed-Phase Clouds: an example from M-PACE
title_full Using surface remote sensors to derive radiative characteristics of Mixed-Phase Clouds: an example from M-PACE
title_fullStr Using surface remote sensors to derive radiative characteristics of Mixed-Phase Clouds: an example from M-PACE
title_full_unstemmed Using surface remote sensors to derive radiative characteristics of Mixed-Phase Clouds: an example from M-PACE
title_sort using surface remote sensors to derive radiative characteristics of mixed-phase clouds: an example from m-pace
publishDate 2018
url https://doi.org/10.5194/acp-11-11937-2011
https://www.atmos-chem-phys.net/11/11937/2011/
geographic Arctic
geographic_facet Arctic
genre Arctic
genre_facet Arctic
op_source eISSN: 1680-7324
op_relation doi:10.5194/acp-11-11937-2011
https://www.atmos-chem-phys.net/11/11937/2011/
op_doi https://doi.org/10.5194/acp-11-11937-2011
container_title Atmospheric Chemistry and Physics
container_volume 11
container_issue 23
container_start_page 11937
op_container_end_page 11949
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