Development towards a global operational aerosol consensus: basic climatological characteristics of the International Cooperative for Aerosol Prediction Multi-Model Ensemble (ICAP-MME)

Here we present the first steps in developing a global multi-model aerosol forecasting ensemble intended for eventual operational and basic research use. Drawing from members of the International Cooperative for Aerosol Prediction (ICAP) latest generation of quasi-operational aerosol models, 5-day a...

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Published in:Atmospheric Chemistry and Physics
Main Authors: Sessions, W. R., Reid, J. S., Benedetti, A., Colarco, P. R., da Silva, A., Lu, S., Sekiyama, T., Tanaka, T. Y., Baldasano, J. M., Basart, S., Brooks, M. E., Eck, T. F., Iredell, M., Hansen, J. A., Jorba, O. C., Juang, H.-M. H., Lynch, P., Morcrette, J.-J., Moorthi, S., Mulcahy, J., Pradhan, Y., Razinger, M., Sampson, C. B., Wang, J., Westphal, D. L.
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2015
Subjects:
Online Access:https://doi.org/10.5194/acp-15-335-2015
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spelling ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00044615 2023-05-15T13:06:57+02:00 Development towards a global operational aerosol consensus: basic climatological characteristics of the International Cooperative for Aerosol Prediction Multi-Model Ensemble (ICAP-MME) Sessions, W. R. Reid, J. S. Benedetti, A. Colarco, P. R. da Silva, A. Lu, S. Sekiyama, T. Tanaka, T. Y. Baldasano, J. M. Basart, S. Brooks, M. E. Eck, T. F. Iredell, M. Hansen, J. A. Jorba, O. C. Juang, H.-M. H. Lynch, P. Morcrette, J.-J. Moorthi, S. Mulcahy, J. Pradhan, Y. Razinger, M. Sampson, C. B. Wang, J. Westphal, D. L. 2015-01 electronic https://doi.org/10.5194/acp-15-335-2015 https://noa.gwlb.de/receive/cop_mods_00044615 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00044235/acp-15-335-2015.pdf https://acp.copernicus.org/articles/15/335/2015/acp-15-335-2015.pdf eng eng Copernicus Publications Atmospheric Chemistry and Physics -- http://www.atmos-chem-phys.net/volumes_and_issues.html -- http://www.bibliothek.uni-regensburg.de/ezeit/?2069847 -- 1680-7324 https://doi.org/10.5194/acp-15-335-2015 https://noa.gwlb.de/receive/cop_mods_00044615 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00044235/acp-15-335-2015.pdf https://acp.copernicus.org/articles/15/335/2015/acp-15-335-2015.pdf uneingeschränkt info:eu-repo/semantics/openAccess article Verlagsveröffentlichung article Text doc-type:article 2015 ftnonlinearchiv https://doi.org/10.5194/acp-15-335-2015 2022-02-08T22:39:57Z Here we present the first steps in developing a global multi-model aerosol forecasting ensemble intended for eventual operational and basic research use. Drawing from members of the International Cooperative for Aerosol Prediction (ICAP) latest generation of quasi-operational aerosol models, 5-day aerosol optical thickness (AOT) forecasts are analyzed for December 2011 through November 2012 from four institutions: European Centre for Medium-Range Weather Forecasts (ECMWF), Japan Meteorological Agency (JMA), NASA Goddard Space Flight Center (GSFC), and Naval Research Lab/Fleet Numerical Meteorology and Oceanography Center (NRL/FNMOC). For dust, we also include the National Oceanic and Atmospheric Administration-National Geospatial Advisory Committee (NOAA NGAC) product in our analysis. The Barcelona Supercomputing Centre and UK Met Office dust products have also recently become members of ICAP, but have insufficient data to be included in this analysis period. A simple consensus ensemble of member and mean AOT fields for modal species (e.g., fine and coarse mode, and a separate dust ensemble) is used to create the ICAP Multi-Model Ensemble (ICAP-MME). The ICAP-MME is run daily at 00:00 UTC for 6-hourly forecasts out to 120 h. Basing metrics on comparisons to 21 regionally representative Aerosol Robotic Network (AERONET) sites, all models generally captured the basic aerosol features of the globe. However, there is an overall AOT low bias among models, particularly for high AOT events. Biomass burning regions have the most diversity in seasonal average AOT. The Southern Ocean, though low in AOT, nevertheless also has high diversity. With regard to root mean square error (RMSE), as expected the ICAP-MME placed first over all models worldwide, and was typically first or second in ranking against all models at individual sites. These results are encouraging; furthermore, as more global operational aerosol models come online, we expect their inclusion in a robust operational multi-model ensemble will provide valuable aerosol forecasting guidance. Article in Journal/Newspaper Aerosol Robotic Network Southern Ocean Niedersächsisches Online-Archiv NOA Southern Ocean Atmospheric Chemistry and Physics 15 1 335 362
institution Open Polar
collection Niedersächsisches Online-Archiv NOA
op_collection_id ftnonlinearchiv
language English
topic article
Verlagsveröffentlichung
spellingShingle article
Verlagsveröffentlichung
Sessions, W. R.
Reid, J. S.
Benedetti, A.
Colarco, P. R.
da Silva, A.
Lu, S.
Sekiyama, T.
Tanaka, T. Y.
Baldasano, J. M.
Basart, S.
Brooks, M. E.
Eck, T. F.
Iredell, M.
Hansen, J. A.
Jorba, O. C.
Juang, H.-M. H.
Lynch, P.
Morcrette, J.-J.
Moorthi, S.
Mulcahy, J.
Pradhan, Y.
Razinger, M.
Sampson, C. B.
Wang, J.
Westphal, D. L.
Development towards a global operational aerosol consensus: basic climatological characteristics of the International Cooperative for Aerosol Prediction Multi-Model Ensemble (ICAP-MME)
topic_facet article
Verlagsveröffentlichung
description Here we present the first steps in developing a global multi-model aerosol forecasting ensemble intended for eventual operational and basic research use. Drawing from members of the International Cooperative for Aerosol Prediction (ICAP) latest generation of quasi-operational aerosol models, 5-day aerosol optical thickness (AOT) forecasts are analyzed for December 2011 through November 2012 from four institutions: European Centre for Medium-Range Weather Forecasts (ECMWF), Japan Meteorological Agency (JMA), NASA Goddard Space Flight Center (GSFC), and Naval Research Lab/Fleet Numerical Meteorology and Oceanography Center (NRL/FNMOC). For dust, we also include the National Oceanic and Atmospheric Administration-National Geospatial Advisory Committee (NOAA NGAC) product in our analysis. The Barcelona Supercomputing Centre and UK Met Office dust products have also recently become members of ICAP, but have insufficient data to be included in this analysis period. A simple consensus ensemble of member and mean AOT fields for modal species (e.g., fine and coarse mode, and a separate dust ensemble) is used to create the ICAP Multi-Model Ensemble (ICAP-MME). The ICAP-MME is run daily at 00:00 UTC for 6-hourly forecasts out to 120 h. Basing metrics on comparisons to 21 regionally representative Aerosol Robotic Network (AERONET) sites, all models generally captured the basic aerosol features of the globe. However, there is an overall AOT low bias among models, particularly for high AOT events. Biomass burning regions have the most diversity in seasonal average AOT. The Southern Ocean, though low in AOT, nevertheless also has high diversity. With regard to root mean square error (RMSE), as expected the ICAP-MME placed first over all models worldwide, and was typically first or second in ranking against all models at individual sites. These results are encouraging; furthermore, as more global operational aerosol models come online, we expect their inclusion in a robust operational multi-model ensemble will provide valuable aerosol forecasting guidance.
format Article in Journal/Newspaper
author Sessions, W. R.
Reid, J. S.
Benedetti, A.
Colarco, P. R.
da Silva, A.
Lu, S.
Sekiyama, T.
Tanaka, T. Y.
Baldasano, J. M.
Basart, S.
Brooks, M. E.
Eck, T. F.
Iredell, M.
Hansen, J. A.
Jorba, O. C.
Juang, H.-M. H.
Lynch, P.
Morcrette, J.-J.
Moorthi, S.
Mulcahy, J.
Pradhan, Y.
Razinger, M.
Sampson, C. B.
Wang, J.
Westphal, D. L.
author_facet Sessions, W. R.
Reid, J. S.
Benedetti, A.
Colarco, P. R.
da Silva, A.
Lu, S.
Sekiyama, T.
Tanaka, T. Y.
Baldasano, J. M.
Basart, S.
Brooks, M. E.
Eck, T. F.
Iredell, M.
Hansen, J. A.
Jorba, O. C.
Juang, H.-M. H.
Lynch, P.
Morcrette, J.-J.
Moorthi, S.
Mulcahy, J.
Pradhan, Y.
Razinger, M.
Sampson, C. B.
Wang, J.
Westphal, D. L.
author_sort Sessions, W. R.
title Development towards a global operational aerosol consensus: basic climatological characteristics of the International Cooperative for Aerosol Prediction Multi-Model Ensemble (ICAP-MME)
title_short Development towards a global operational aerosol consensus: basic climatological characteristics of the International Cooperative for Aerosol Prediction Multi-Model Ensemble (ICAP-MME)
title_full Development towards a global operational aerosol consensus: basic climatological characteristics of the International Cooperative for Aerosol Prediction Multi-Model Ensemble (ICAP-MME)
title_fullStr Development towards a global operational aerosol consensus: basic climatological characteristics of the International Cooperative for Aerosol Prediction Multi-Model Ensemble (ICAP-MME)
title_full_unstemmed Development towards a global operational aerosol consensus: basic climatological characteristics of the International Cooperative for Aerosol Prediction Multi-Model Ensemble (ICAP-MME)
title_sort development towards a global operational aerosol consensus: basic climatological characteristics of the international cooperative for aerosol prediction multi-model ensemble (icap-mme)
publisher Copernicus Publications
publishDate 2015
url https://doi.org/10.5194/acp-15-335-2015
https://noa.gwlb.de/receive/cop_mods_00044615
https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00044235/acp-15-335-2015.pdf
https://acp.copernicus.org/articles/15/335/2015/acp-15-335-2015.pdf
geographic Southern Ocean
geographic_facet Southern Ocean
genre Aerosol Robotic Network
Southern Ocean
genre_facet Aerosol Robotic Network
Southern Ocean
op_relation Atmospheric Chemistry and Physics -- http://www.atmos-chem-phys.net/volumes_and_issues.html -- http://www.bibliothek.uni-regensburg.de/ezeit/?2069847 -- 1680-7324
https://doi.org/10.5194/acp-15-335-2015
https://noa.gwlb.de/receive/cop_mods_00044615
https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00044235/acp-15-335-2015.pdf
https://acp.copernicus.org/articles/15/335/2015/acp-15-335-2015.pdf
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container_title Atmospheric Chemistry and Physics
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