Next-generation radiance unfiltering process for the Clouds and Earth’s Radiant Energy System instrument

The filtered radiances measured by the Clouds and the Earth's Radiant Energy System (CERES) instruments are converted to shortwave (SW), longwave (LW), and window unfiltered radiances based on regressions developed from theoretical radiative transfer simulations to relate filtered and unfiltere...

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Main Authors: Liang, Lusheng, Su, Wenying, Sejas, Sergio, Eitzen, Zachary A., Loeb, Norman G.
Format: Text
Language:English
Published: 2024
Subjects:
Online Access:https://doi.org/10.5194/egusphere-2023-1670
https://egusphere.copernicus.org/preprints/2023/egusphere-2023-1670/
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spelling ftcopernicus:oai:publications.copernicus.org:egusphere113402 2024-06-23T07:56:44+00:00 Next-generation radiance unfiltering process for the Clouds and Earth’s Radiant Energy System instrument Liang, Lusheng Su, Wenying Sejas, Sergio Eitzen, Zachary A. Loeb, Norman G. 2024-04-17 application/pdf https://doi.org/10.5194/egusphere-2023-1670 https://egusphere.copernicus.org/preprints/2023/egusphere-2023-1670/ eng eng doi:10.5194/egusphere-2023-1670 https://egusphere.copernicus.org/preprints/2023/egusphere-2023-1670/ eISSN: Text 2024 ftcopernicus https://doi.org/10.5194/egusphere-2023-1670 2024-06-13T01:23:50Z The filtered radiances measured by the Clouds and the Earth's Radiant Energy System (CERES) instruments are converted to shortwave (SW), longwave (LW), and window unfiltered radiances based on regressions developed from theoretical radiative transfer simulations to relate filtered and unfiltered radiances. This paper describes an update to the existing Edition 4 CERES unfiltering algorithm (Loeb et al., 2001), incorporating the most recent developments in radiative transfer modeling, ancillary input datasets, and increased computational and storage capabilities during the past 20 years. Simulations are performed with the updated Moderate Resolution Atmospheric Transmission (MODTRAN) 5.4 version. Over land and snow, the surface bidirectional reflectance distribution function (BRDF) is characterized by a kernel-based representation in the simulations, instead of the Lambertian surface used in the Edition 4 unfiltering process. Radiance unfiltering is explicitly separated into four seasonally dependent land surface groups based on the spectral radiation similarities of different surface types (defined by the International Geosphere-Biosphere Programme); over snow, it is separated into fresh snow, permanent snow, and sea ice. This differs from the Edition 4 unfiltering process where only one set of regressions was used for land and snow, respectively. The instantaneous unfiltering errors are estimated with independent test cases generated from radiative transfer simulations in which the “true” unfiltered radiances from radiative transfer simulations are compared with the unfiltered radiances calculated from the regressions. Overall, the relative errors are mostly within ± 0.5 % for SW, within ± 0.2 % for daytime LW, and within ± 0.1 % for nighttime LW for both CERES Terra Flight Model 1 (FM1) and Aqua FM3 instruments. The unfiltered radiances are converted to fluxes and compared to CERES Edition 4 fluxes. The global mean instantaneous fluxes for Aqua FM3 are reduced by 0.34 to 0.45 W m −2 for SW and increased by ... Text Sea ice Copernicus Publications: E-Journals
institution Open Polar
collection Copernicus Publications: E-Journals
op_collection_id ftcopernicus
language English
description The filtered radiances measured by the Clouds and the Earth's Radiant Energy System (CERES) instruments are converted to shortwave (SW), longwave (LW), and window unfiltered radiances based on regressions developed from theoretical radiative transfer simulations to relate filtered and unfiltered radiances. This paper describes an update to the existing Edition 4 CERES unfiltering algorithm (Loeb et al., 2001), incorporating the most recent developments in radiative transfer modeling, ancillary input datasets, and increased computational and storage capabilities during the past 20 years. Simulations are performed with the updated Moderate Resolution Atmospheric Transmission (MODTRAN) 5.4 version. Over land and snow, the surface bidirectional reflectance distribution function (BRDF) is characterized by a kernel-based representation in the simulations, instead of the Lambertian surface used in the Edition 4 unfiltering process. Radiance unfiltering is explicitly separated into four seasonally dependent land surface groups based on the spectral radiation similarities of different surface types (defined by the International Geosphere-Biosphere Programme); over snow, it is separated into fresh snow, permanent snow, and sea ice. This differs from the Edition 4 unfiltering process where only one set of regressions was used for land and snow, respectively. The instantaneous unfiltering errors are estimated with independent test cases generated from radiative transfer simulations in which the “true” unfiltered radiances from radiative transfer simulations are compared with the unfiltered radiances calculated from the regressions. Overall, the relative errors are mostly within ± 0.5 % for SW, within ± 0.2 % for daytime LW, and within ± 0.1 % for nighttime LW for both CERES Terra Flight Model 1 (FM1) and Aqua FM3 instruments. The unfiltered radiances are converted to fluxes and compared to CERES Edition 4 fluxes. The global mean instantaneous fluxes for Aqua FM3 are reduced by 0.34 to 0.45 W m −2 for SW and increased by ...
format Text
author Liang, Lusheng
Su, Wenying
Sejas, Sergio
Eitzen, Zachary A.
Loeb, Norman G.
spellingShingle Liang, Lusheng
Su, Wenying
Sejas, Sergio
Eitzen, Zachary A.
Loeb, Norman G.
Next-generation radiance unfiltering process for the Clouds and Earth’s Radiant Energy System instrument
author_facet Liang, Lusheng
Su, Wenying
Sejas, Sergio
Eitzen, Zachary A.
Loeb, Norman G.
author_sort Liang, Lusheng
title Next-generation radiance unfiltering process for the Clouds and Earth’s Radiant Energy System instrument
title_short Next-generation radiance unfiltering process for the Clouds and Earth’s Radiant Energy System instrument
title_full Next-generation radiance unfiltering process for the Clouds and Earth’s Radiant Energy System instrument
title_fullStr Next-generation radiance unfiltering process for the Clouds and Earth’s Radiant Energy System instrument
title_full_unstemmed Next-generation radiance unfiltering process for the Clouds and Earth’s Radiant Energy System instrument
title_sort next-generation radiance unfiltering process for the clouds and earth’s radiant energy system instrument
publishDate 2024
url https://doi.org/10.5194/egusphere-2023-1670
https://egusphere.copernicus.org/preprints/2023/egusphere-2023-1670/
genre Sea ice
genre_facet Sea ice
op_source eISSN:
op_relation doi:10.5194/egusphere-2023-1670
https://egusphere.copernicus.org/preprints/2023/egusphere-2023-1670/
op_doi https://doi.org/10.5194/egusphere-2023-1670
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