Validation of a fully-coupled radiative transfer model for sea ice with albedo and transmittance measurements
A rigorous treatment of the sea ice medium has been incorporated in the advanced Coupled Ocean-Atmosphere Radiative Transfer (COART) model. The inherent optical properties (IOPs) of brine pockets and air bubbles over the 0.25–4.0 µm spectral region are parameterized as a function of the vertical pro...
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ftcopernicus:oai:publications.copernicus.org:tcd103487 2023-05-15T13:10:54+02:00 Validation of a fully-coupled radiative transfer model for sea ice with albedo and transmittance measurements Jin, Zhonghai Ottaviani, Matteo Sikand, Monika 2022-06-20 application/pdf https://doi.org/10.5194/tc-2022-106 https://tc.copernicus.org/preprints/tc-2022-106/ eng eng doi:10.5194/tc-2022-106 https://tc.copernicus.org/preprints/tc-2022-106/ eISSN: 1994-0424 Text 2022 ftcopernicus https://doi.org/10.5194/tc-2022-106 2022-06-27T16:22:44Z A rigorous treatment of the sea ice medium has been incorporated in the advanced Coupled Ocean-Atmosphere Radiative Transfer (COART) model. The inherent optical properties (IOPs) of brine pockets and air bubbles over the 0.25–4.0 µm spectral region are parameterized as a function of the vertical profile of the sea ice physical properties (temperature, salinity and density). We test the model performance using available albedo and transmittance measurements collected during the Impacts of Climate on the Ecosystems and Chemistry of the Arctic Pacific Environment (ICESCAPE) and the Surface Heat Budget of the Arctic Ocean (SHEBA) field campaigns. The observations are adequately simulated when at least three layers are used to represent bare (first-year and multi-year) ice, including a thin top layer characterized by low density and high scattering. Two layers can be sufficient to model isolated cases of multi-year ice, and apply well to ponded ice except for shallow ponds over thick ice. The albedo and transmittance of ponded ice in the visible are mainly determined by the optical properties of the ice underlying the water layer used to model the pond. Sensitivity results indicate that the air volume or ice density has the largest impact on the simulated fluxes. Possible contamination from light-absorbing impurities, such as black carbon or ice algae, is also implemented in the model and is able to effectively reduce the albedo and transmittance in the visible spectrum to further improve the model-observation agreement. The agreement between the observed and modeled spectra validates the parameterization of the sea ice IOPs, and endorses COART as an accurate tool for radiation studies in the cryosphere. Text albedo Arctic Arctic Ocean black carbon ice algae Sea ice Surface Heat Budget of the Arctic Ocean Copernicus Publications: E-Journals Arctic Arctic Ocean Pacific |
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Copernicus Publications: E-Journals |
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English |
description |
A rigorous treatment of the sea ice medium has been incorporated in the advanced Coupled Ocean-Atmosphere Radiative Transfer (COART) model. The inherent optical properties (IOPs) of brine pockets and air bubbles over the 0.25–4.0 µm spectral region are parameterized as a function of the vertical profile of the sea ice physical properties (temperature, salinity and density). We test the model performance using available albedo and transmittance measurements collected during the Impacts of Climate on the Ecosystems and Chemistry of the Arctic Pacific Environment (ICESCAPE) and the Surface Heat Budget of the Arctic Ocean (SHEBA) field campaigns. The observations are adequately simulated when at least three layers are used to represent bare (first-year and multi-year) ice, including a thin top layer characterized by low density and high scattering. Two layers can be sufficient to model isolated cases of multi-year ice, and apply well to ponded ice except for shallow ponds over thick ice. The albedo and transmittance of ponded ice in the visible are mainly determined by the optical properties of the ice underlying the water layer used to model the pond. Sensitivity results indicate that the air volume or ice density has the largest impact on the simulated fluxes. Possible contamination from light-absorbing impurities, such as black carbon or ice algae, is also implemented in the model and is able to effectively reduce the albedo and transmittance in the visible spectrum to further improve the model-observation agreement. The agreement between the observed and modeled spectra validates the parameterization of the sea ice IOPs, and endorses COART as an accurate tool for radiation studies in the cryosphere. |
format |
Text |
author |
Jin, Zhonghai Ottaviani, Matteo Sikand, Monika |
spellingShingle |
Jin, Zhonghai Ottaviani, Matteo Sikand, Monika Validation of a fully-coupled radiative transfer model for sea ice with albedo and transmittance measurements |
author_facet |
Jin, Zhonghai Ottaviani, Matteo Sikand, Monika |
author_sort |
Jin, Zhonghai |
title |
Validation of a fully-coupled radiative transfer model for sea ice with albedo and transmittance measurements |
title_short |
Validation of a fully-coupled radiative transfer model for sea ice with albedo and transmittance measurements |
title_full |
Validation of a fully-coupled radiative transfer model for sea ice with albedo and transmittance measurements |
title_fullStr |
Validation of a fully-coupled radiative transfer model for sea ice with albedo and transmittance measurements |
title_full_unstemmed |
Validation of a fully-coupled radiative transfer model for sea ice with albedo and transmittance measurements |
title_sort |
validation of a fully-coupled radiative transfer model for sea ice with albedo and transmittance measurements |
publishDate |
2022 |
url |
https://doi.org/10.5194/tc-2022-106 https://tc.copernicus.org/preprints/tc-2022-106/ |
geographic |
Arctic Arctic Ocean Pacific |
geographic_facet |
Arctic Arctic Ocean Pacific |
genre |
albedo Arctic Arctic Ocean black carbon ice algae Sea ice Surface Heat Budget of the Arctic Ocean |
genre_facet |
albedo Arctic Arctic Ocean black carbon ice algae Sea ice Surface Heat Budget of the Arctic Ocean |
op_source |
eISSN: 1994-0424 |
op_relation |
doi:10.5194/tc-2022-106 https://tc.copernicus.org/preprints/tc-2022-106/ |
op_doi |
https://doi.org/10.5194/tc-2022-106 |
_version_ |
1766245164442976256 |