Impacts of active satellite sensors' low-level cloud detection limitations on cloud radiative forcing in the Arctic

Previous studies revealed that satellites sensors with the best detection capability identify 25 %–40 % and 0 %–25 % fewer clouds below 0.5 and between 0.5–1.0 km, respectively, over the Arctic. Quantifying the impacts of cloud detection limitations on the radiation flux are critical especially over...

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Published in:Atmospheric Chemistry and Physics
Main Author: Liu, Yinghui
Language:unknown
Published: 2023
Subjects:
Online Access:http://www.osti.gov/servlets/purl/1874759
https://www.osti.gov/biblio/1874759
https://doi.org/10.5194/acp-22-8151-2022
id ftosti:oai:osti.gov:1874759
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spelling ftosti:oai:osti.gov:1874759 2023-07-30T04:01:00+02:00 Impacts of active satellite sensors' low-level cloud detection limitations on cloud radiative forcing in the Arctic Liu, Yinghui 2023-06-05 application/pdf http://www.osti.gov/servlets/purl/1874759 https://www.osti.gov/biblio/1874759 https://doi.org/10.5194/acp-22-8151-2022 unknown http://www.osti.gov/servlets/purl/1874759 https://www.osti.gov/biblio/1874759 https://doi.org/10.5194/acp-22-8151-2022 doi:10.5194/acp-22-8151-2022 54 ENVIRONMENTAL SCIENCES 2023 ftosti https://doi.org/10.5194/acp-22-8151-2022 2023-07-11T10:13:19Z Previous studies revealed that satellites sensors with the best detection capability identify 25 %–40 % and 0 %–25 % fewer clouds below 0.5 and between 0.5–1.0 km, respectively, over the Arctic. Quantifying the impacts of cloud detection limitations on the radiation flux are critical especially over the Arctic Ocean considering the dramatic changes in Arctic sea ice. In this study, the proxies of the space-based radar, CloudSat, and lidar, CALIPSO (Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations), cloud masks are derived based on simulated radar reflectivity with QuickBeam and cloud optical thickness using retrieved cloud properties from surface-based radar and lidar during the Surface Heat Budget of the Arctic Ocean (SHEBA) experiment. Limitations in low-level cloud detection by the space-based active sensors, and the impact of these limitations on the radiation fluxes at the surface and the top of the atmosphere (TOA), are estimated with radiative transfer model Streamer. The results show that the combined CloudSat and CALIPSO product generally detects all clouds above 1 km, while detecting 25 % (9 %) fewer in absolute values below 600 m (600 m to 1 km) than surface observations. These detection limitations lead to uncertainties in the monthly mean cloud radiative forcing (CRF), with maximum absolute monthly mean values of 2.5 and 3.4 Wm –2 at the surface and TOA, respectively. Cloud information from only CALIPSO or CloudSat lead to larger cloud detection differences compared to the surface observations and larger CRF uncertainties with absolute monthly means larger than 10.0 Wm –2 at the surface and TOA. The uncertainties for individual cases are larger – up to 30 Wm –2 . These uncertainties need to be considered when radiation flux products from CloudSat and CALIPSO are used in climate and weather studies. Other/Unknown Material Arctic Arctic Ocean Sea ice Surface Heat Budget of the Arctic Ocean SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy) Arctic Arctic Ocean Atmospheric Chemistry and Physics 22 12 8151 8173
institution Open Polar
collection SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy)
op_collection_id ftosti
language unknown
topic 54 ENVIRONMENTAL SCIENCES
spellingShingle 54 ENVIRONMENTAL SCIENCES
Liu, Yinghui
Impacts of active satellite sensors' low-level cloud detection limitations on cloud radiative forcing in the Arctic
topic_facet 54 ENVIRONMENTAL SCIENCES
description Previous studies revealed that satellites sensors with the best detection capability identify 25 %–40 % and 0 %–25 % fewer clouds below 0.5 and between 0.5–1.0 km, respectively, over the Arctic. Quantifying the impacts of cloud detection limitations on the radiation flux are critical especially over the Arctic Ocean considering the dramatic changes in Arctic sea ice. In this study, the proxies of the space-based radar, CloudSat, and lidar, CALIPSO (Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations), cloud masks are derived based on simulated radar reflectivity with QuickBeam and cloud optical thickness using retrieved cloud properties from surface-based radar and lidar during the Surface Heat Budget of the Arctic Ocean (SHEBA) experiment. Limitations in low-level cloud detection by the space-based active sensors, and the impact of these limitations on the radiation fluxes at the surface and the top of the atmosphere (TOA), are estimated with radiative transfer model Streamer. The results show that the combined CloudSat and CALIPSO product generally detects all clouds above 1 km, while detecting 25 % (9 %) fewer in absolute values below 600 m (600 m to 1 km) than surface observations. These detection limitations lead to uncertainties in the monthly mean cloud radiative forcing (CRF), with maximum absolute monthly mean values of 2.5 and 3.4 Wm –2 at the surface and TOA, respectively. Cloud information from only CALIPSO or CloudSat lead to larger cloud detection differences compared to the surface observations and larger CRF uncertainties with absolute monthly means larger than 10.0 Wm –2 at the surface and TOA. The uncertainties for individual cases are larger – up to 30 Wm –2 . These uncertainties need to be considered when radiation flux products from CloudSat and CALIPSO are used in climate and weather studies.
author Liu, Yinghui
author_facet Liu, Yinghui
author_sort Liu, Yinghui
title Impacts of active satellite sensors' low-level cloud detection limitations on cloud radiative forcing in the Arctic
title_short Impacts of active satellite sensors' low-level cloud detection limitations on cloud radiative forcing in the Arctic
title_full Impacts of active satellite sensors' low-level cloud detection limitations on cloud radiative forcing in the Arctic
title_fullStr Impacts of active satellite sensors' low-level cloud detection limitations on cloud radiative forcing in the Arctic
title_full_unstemmed Impacts of active satellite sensors' low-level cloud detection limitations on cloud radiative forcing in the Arctic
title_sort impacts of active satellite sensors' low-level cloud detection limitations on cloud radiative forcing in the arctic
publishDate 2023
url http://www.osti.gov/servlets/purl/1874759
https://www.osti.gov/biblio/1874759
https://doi.org/10.5194/acp-22-8151-2022
geographic Arctic
Arctic Ocean
geographic_facet Arctic
Arctic Ocean
genre Arctic
Arctic Ocean
Sea ice
Surface Heat Budget of the Arctic Ocean
genre_facet Arctic
Arctic Ocean
Sea ice
Surface Heat Budget of the Arctic Ocean
op_relation http://www.osti.gov/servlets/purl/1874759
https://www.osti.gov/biblio/1874759
https://doi.org/10.5194/acp-22-8151-2022
doi:10.5194/acp-22-8151-2022
op_doi https://doi.org/10.5194/acp-22-8151-2022
container_title Atmospheric Chemistry and Physics
container_volume 22
container_issue 12
container_start_page 8151
op_container_end_page 8173
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