Incorporation of aerosol into the COSPv2 satellite lidar simulator for climate model evaluation
Atmospheric aerosol has substantial impacts on climate, air quality and biogeochemical cycles, and its concentrations are highly variable in space and time. A key variability to evaluate within models that simulate aerosol is the vertical distribution, which influences atmospheric heating profiles a...
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ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00065199 2023-05-15T18:25:53+02:00 Incorporation of aerosol into the COSPv2 satellite lidar simulator for climate model evaluation Bonazzola, Marine Chepfer, Hélène Ma, Po-Lun Quaas, Johannes Winker, David M. Feofilov, Artem Schutgens, Nick 2023-02 electronic https://doi.org/10.5194/gmd-16-1359-2023 https://noa.gwlb.de/receive/cop_mods_00065199 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00063786/gmd-16-1359-2023.pdf https://gmd.copernicus.org/articles/16/1359/2023/gmd-16-1359-2023.pdf eng eng Copernicus Publications Geoscientific Model Development -- http://www.bibliothek.uni-regensburg.de/ezeit/?2456725 -- http://www.geosci-model-dev.net/ -- 1991-9603 https://doi.org/10.5194/gmd-16-1359-2023 https://noa.gwlb.de/receive/cop_mods_00065199 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00063786/gmd-16-1359-2023.pdf https://gmd.copernicus.org/articles/16/1359/2023/gmd-16-1359-2023.pdf https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess CC-BY article Verlagsveröffentlichung article Text doc-type:article 2023 ftnonlinearchiv https://doi.org/10.5194/gmd-16-1359-2023 2023-03-06T00:14:57Z Atmospheric aerosol has substantial impacts on climate, air quality and biogeochemical cycles, and its concentrations are highly variable in space and time. A key variability to evaluate within models that simulate aerosol is the vertical distribution, which influences atmospheric heating profiles and aerosol–cloud interactions, to help constrain aerosol residence time and to better represent the magnitude of simulated impacts. To ensure a consistent comparison between modeled and observed vertical distribution of aerosol, we implemented an aerosol lidar simulator within the Cloud Feedback Model Intercomparison Project (CFMIP) Observation Simulator Package version 2 (COSPv2). We assessed the attenuated total backscattered (ATB) signal and the backscatter ratios (SRs) at 532 nm in the U.S. Department of Energy's Energy Exascale Earth System Model version 1 (E3SMv1). The simulator performs the computations at the same vertical resolution as the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP), making use of aerosol optics from the E3SMv1 model as inputs and assuming that aerosol is uniformly distributed horizontally within each model grid box. The simulator applies a cloud masking and an aerosol detection threshold to obtain the ATB and SR profiles that would be observed above clouds by CALIOP with its aerosol detection capability. Our analysis shows that the aerosol distribution simulated at a seasonal timescale is generally in good agreement with observations. Over the Southern Ocean, however, the model does not produce the SR maximum as observed in the real world. Comparison between clear-sky and all-sky SRs shows little differences, indicating that the cloud screening by potentially incorrect model clouds does not affect the mean aerosol signal averaged over a season. This indicates that the differences between observed and simulated SR values are due not to sampling errors, but to deficiencies in the representation of aerosol in models. Finally, we highlight the need for future applications of lidar ... Article in Journal/Newspaper Southern Ocean Niedersächsisches Online-Archiv NOA Southern Ocean Geoscientific Model Development 16 4 1359 1377 |
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article Verlagsveröffentlichung Bonazzola, Marine Chepfer, Hélène Ma, Po-Lun Quaas, Johannes Winker, David M. Feofilov, Artem Schutgens, Nick Incorporation of aerosol into the COSPv2 satellite lidar simulator for climate model evaluation |
topic_facet |
article Verlagsveröffentlichung |
description |
Atmospheric aerosol has substantial impacts on climate, air quality and biogeochemical cycles, and its concentrations are highly variable in space and time. A key variability to evaluate within models that simulate aerosol is the vertical distribution, which influences atmospheric heating profiles and aerosol–cloud interactions, to help constrain aerosol residence time and to better represent the magnitude of simulated impacts. To ensure a consistent comparison between modeled and observed vertical distribution of aerosol, we implemented an aerosol lidar simulator within the Cloud Feedback Model Intercomparison Project (CFMIP) Observation Simulator Package version 2 (COSPv2). We assessed the attenuated total backscattered (ATB) signal and the backscatter ratios (SRs) at 532 nm in the U.S. Department of Energy's Energy Exascale Earth System Model version 1 (E3SMv1). The simulator performs the computations at the same vertical resolution as the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP), making use of aerosol optics from the E3SMv1 model as inputs and assuming that aerosol is uniformly distributed horizontally within each model grid box. The simulator applies a cloud masking and an aerosol detection threshold to obtain the ATB and SR profiles that would be observed above clouds by CALIOP with its aerosol detection capability. Our analysis shows that the aerosol distribution simulated at a seasonal timescale is generally in good agreement with observations. Over the Southern Ocean, however, the model does not produce the SR maximum as observed in the real world. Comparison between clear-sky and all-sky SRs shows little differences, indicating that the cloud screening by potentially incorrect model clouds does not affect the mean aerosol signal averaged over a season. This indicates that the differences between observed and simulated SR values are due not to sampling errors, but to deficiencies in the representation of aerosol in models. Finally, we highlight the need for future applications of lidar ... |
format |
Article in Journal/Newspaper |
author |
Bonazzola, Marine Chepfer, Hélène Ma, Po-Lun Quaas, Johannes Winker, David M. Feofilov, Artem Schutgens, Nick |
author_facet |
Bonazzola, Marine Chepfer, Hélène Ma, Po-Lun Quaas, Johannes Winker, David M. Feofilov, Artem Schutgens, Nick |
author_sort |
Bonazzola, Marine |
title |
Incorporation of aerosol into the COSPv2 satellite lidar simulator for climate model evaluation |
title_short |
Incorporation of aerosol into the COSPv2 satellite lidar simulator for climate model evaluation |
title_full |
Incorporation of aerosol into the COSPv2 satellite lidar simulator for climate model evaluation |
title_fullStr |
Incorporation of aerosol into the COSPv2 satellite lidar simulator for climate model evaluation |
title_full_unstemmed |
Incorporation of aerosol into the COSPv2 satellite lidar simulator for climate model evaluation |
title_sort |
incorporation of aerosol into the cospv2 satellite lidar simulator for climate model evaluation |
publisher |
Copernicus Publications |
publishDate |
2023 |
url |
https://doi.org/10.5194/gmd-16-1359-2023 https://noa.gwlb.de/receive/cop_mods_00065199 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00063786/gmd-16-1359-2023.pdf https://gmd.copernicus.org/articles/16/1359/2023/gmd-16-1359-2023.pdf |
geographic |
Southern Ocean |
geographic_facet |
Southern Ocean |
genre |
Southern Ocean |
genre_facet |
Southern Ocean |
op_relation |
Geoscientific Model Development -- http://www.bibliothek.uni-regensburg.de/ezeit/?2456725 -- http://www.geosci-model-dev.net/ -- 1991-9603 https://doi.org/10.5194/gmd-16-1359-2023 https://noa.gwlb.de/receive/cop_mods_00065199 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00063786/gmd-16-1359-2023.pdf https://gmd.copernicus.org/articles/16/1359/2023/gmd-16-1359-2023.pdf |
op_rights |
https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.5194/gmd-16-1359-2023 |
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Geoscientific Model Development |
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