Improved albedo formulation for chemistry transport models based on satellite observations and assimilated snow data and its impact on tropospheric photochemistry

Present parameterizations of the UV surface albedo in global chemistry transport models are generally based on a crude land cover classification and do not account for interannual variations of the snow-covered surface or the large variability in the albedo of snow-covered surfaces. We developed an...

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Published in:Journal of Geophysical Research
Main Authors: Laepple, T., Schultz, M., Lamarque, J., Madronich, S., Shetter, R., Lefer, B., Atlas, E.
Format: Article in Journal/Newspaper
Language:English
Published: 2005
Subjects:
Online Access:http://hdl.handle.net/11858/00-001M-0000-0011-FED6-3
http://hdl.handle.net/11858/00-001M-0000-0011-FED5-5
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spelling ftpubman:oai:pure.mpg.de:item_994898 2023-08-27T04:11:56+02:00 Improved albedo formulation for chemistry transport models based on satellite observations and assimilated snow data and its impact on tropospheric photochemistry Laepple, T. Schultz, M. Lamarque, J. Madronich, S. Shetter, R. Lefer, B. Atlas, E. 2005-06-10 application/pdf http://hdl.handle.net/11858/00-001M-0000-0011-FED6-3 http://hdl.handle.net/11858/00-001M-0000-0011-FED5-5 eng eng info:eu-repo/semantics/altIdentifier/doi/10.1029/2004JD005463 http://hdl.handle.net/11858/00-001M-0000-0011-FED6-3 http://hdl.handle.net/11858/00-001M-0000-0011-FED5-5 info:eu-repo/semantics/openAccess Journal of Geophysical Research-Atmospheres info:eu-repo/semantics/article 2005 ftpubman https://doi.org/10.1029/2004JD005463 2023-08-02T01:34:53Z Present parameterizations of the UV surface albedo in global chemistry transport models are generally based on a crude land cover classification and do not account for interannual variations of the snow-covered surface or the large variability in the albedo of snow-covered surfaces. We developed an improved scheme based on 2 years of Moderate-Resolution Imaging Spectroradiometer (MODIS) albedo data, a fine-resolution MODIS land cover map, Global Ozone Monitoring Experiment (GOME) albedo data, and daily assimilated snow cover maps from the European Centre for Medium-Range Weather Forecasts or the National Centers for Environmental Prediction. The new parameterization improves the calculation of photolysis frequencies in particular in the subarctic region as shown by a comparison of the calculated ratio of upwelling and downwelling actinic fluxes with spectral measurements from the Tropospheric Ozone Production About Spring Equinox (TOPSE) campaign (January–May 2000). The impact of surface albedo changes on tropospheric photochemistry has been investigated using the global MOZART-2 chemistry transport model. Compared with the original model version, the surface albedo changes alter the tropospheric oxidizing capacity (OH concentrations) between −20 and +200% locally and +5% in the global annual mean. About half of this change results from a new value adapted for the ocean UV albedo. Locally, NO x concentrations were found to decrease by up to 40% and were most pronounced where the snow boundary crosses the high-emission regions in Europe, North America, and Asia. The interannual variability of snow and sea ice cover can lead to changes in the global tropospheric OH-concentration of 0.5%, which is of similar magnitude compared with the impacts of varying water vapor, transport, ozone column, and emissions as discussed in previous studies Article in Journal/Newspaper Sea ice Subarctic Max Planck Society: MPG.PuRe Journal of Geophysical Research 110 D11
institution Open Polar
collection Max Planck Society: MPG.PuRe
op_collection_id ftpubman
language English
description Present parameterizations of the UV surface albedo in global chemistry transport models are generally based on a crude land cover classification and do not account for interannual variations of the snow-covered surface or the large variability in the albedo of snow-covered surfaces. We developed an improved scheme based on 2 years of Moderate-Resolution Imaging Spectroradiometer (MODIS) albedo data, a fine-resolution MODIS land cover map, Global Ozone Monitoring Experiment (GOME) albedo data, and daily assimilated snow cover maps from the European Centre for Medium-Range Weather Forecasts or the National Centers for Environmental Prediction. The new parameterization improves the calculation of photolysis frequencies in particular in the subarctic region as shown by a comparison of the calculated ratio of upwelling and downwelling actinic fluxes with spectral measurements from the Tropospheric Ozone Production About Spring Equinox (TOPSE) campaign (January–May 2000). The impact of surface albedo changes on tropospheric photochemistry has been investigated using the global MOZART-2 chemistry transport model. Compared with the original model version, the surface albedo changes alter the tropospheric oxidizing capacity (OH concentrations) between −20 and +200% locally and +5% in the global annual mean. About half of this change results from a new value adapted for the ocean UV albedo. Locally, NO x concentrations were found to decrease by up to 40% and were most pronounced where the snow boundary crosses the high-emission regions in Europe, North America, and Asia. The interannual variability of snow and sea ice cover can lead to changes in the global tropospheric OH-concentration of 0.5%, which is of similar magnitude compared with the impacts of varying water vapor, transport, ozone column, and emissions as discussed in previous studies
format Article in Journal/Newspaper
author Laepple, T.
Schultz, M.
Lamarque, J.
Madronich, S.
Shetter, R.
Lefer, B.
Atlas, E.
spellingShingle Laepple, T.
Schultz, M.
Lamarque, J.
Madronich, S.
Shetter, R.
Lefer, B.
Atlas, E.
Improved albedo formulation for chemistry transport models based on satellite observations and assimilated snow data and its impact on tropospheric photochemistry
author_facet Laepple, T.
Schultz, M.
Lamarque, J.
Madronich, S.
Shetter, R.
Lefer, B.
Atlas, E.
author_sort Laepple, T.
title Improved albedo formulation for chemistry transport models based on satellite observations and assimilated snow data and its impact on tropospheric photochemistry
title_short Improved albedo formulation for chemistry transport models based on satellite observations and assimilated snow data and its impact on tropospheric photochemistry
title_full Improved albedo formulation for chemistry transport models based on satellite observations and assimilated snow data and its impact on tropospheric photochemistry
title_fullStr Improved albedo formulation for chemistry transport models based on satellite observations and assimilated snow data and its impact on tropospheric photochemistry
title_full_unstemmed Improved albedo formulation for chemistry transport models based on satellite observations and assimilated snow data and its impact on tropospheric photochemistry
title_sort improved albedo formulation for chemistry transport models based on satellite observations and assimilated snow data and its impact on tropospheric photochemistry
publishDate 2005
url http://hdl.handle.net/11858/00-001M-0000-0011-FED6-3
http://hdl.handle.net/11858/00-001M-0000-0011-FED5-5
genre Sea ice
Subarctic
genre_facet Sea ice
Subarctic
op_source Journal of Geophysical Research-Atmospheres
op_relation info:eu-repo/semantics/altIdentifier/doi/10.1029/2004JD005463
http://hdl.handle.net/11858/00-001M-0000-0011-FED6-3
http://hdl.handle.net/11858/00-001M-0000-0011-FED5-5
op_rights info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.1029/2004JD005463
container_title Journal of Geophysical Research
container_volume 110
container_issue D11
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