Near-surface meteorology during the Arctic Summer Cloud Ocean Study (ASCOS): evaluation of reanalyses and global climate models
Atmospheric measurements from the Arctic Summer Cloud Ocean Study (ASCOS) are used to evaluate the performance of three atmospheric reanalyses (European Centre for Medium Range Weather Forecasting (ECMWF)-Interim reanalysis, National Center for Environmental Prediction (NCEP)-National Center for Atm...
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ftdoajarticles:oai:doaj.org/article:02f87a7dfe1e47f79be1b7f9c548d3c8 2023-05-15T14:53:31+02:00 Near-surface meteorology during the Arctic Summer Cloud Ocean Study (ASCOS): evaluation of reanalyses and global climate models G. de Boer M. D. Shupe P. M. Caldwell S. E. Bauer O. Persson J. S. Boyle M. Kelley S. A. Klein M. Tjernström 2014-01-01T00:00:00Z https://doi.org/10.5194/acp-14-427-2014 https://doaj.org/article/02f87a7dfe1e47f79be1b7f9c548d3c8 EN eng Copernicus Publications http://www.atmos-chem-phys.net/14/427/2014/acp-14-427-2014.pdf https://doaj.org/toc/1680-7316 https://doaj.org/toc/1680-7324 1680-7316 1680-7324 doi:10.5194/acp-14-427-2014 https://doaj.org/article/02f87a7dfe1e47f79be1b7f9c548d3c8 Atmospheric Chemistry and Physics, Vol 14, Iss 1, Pp 427-445 (2014) Physics QC1-999 Chemistry QD1-999 article 2014 ftdoajarticles https://doi.org/10.5194/acp-14-427-2014 2022-12-31T04:40:31Z Atmospheric measurements from the Arctic Summer Cloud Ocean Study (ASCOS) are used to evaluate the performance of three atmospheric reanalyses (European Centre for Medium Range Weather Forecasting (ECMWF)-Interim reanalysis, National Center for Environmental Prediction (NCEP)-National Center for Atmospheric Research (NCAR) reanalysis, and NCEP-DOE (Department of Energy) reanalysis) and two global climate models (CAM5 (Community Atmosphere Model 5) and NASA GISS (Goddard Institute for Space Studies) ModelE2) in simulation of the high Arctic environment. Quantities analyzed include near surface meteorological variables such as temperature, pressure, humidity and winds, surface-based estimates of cloud and precipitation properties, the surface energy budget, and lower atmospheric temperature structure. In general, the models perform well in simulating large-scale dynamical quantities such as pressure and winds. Near-surface temperature and lower atmospheric stability, along with surface energy budget terms, are not as well represented due largely to errors in simulation of cloud occurrence, phase and altitude. Additionally, a development version of CAM5, which features improved handling of cloud macro physics, has demonstrated to improve simulation of cloud properties and liquid water amount. The ASCOS period additionally provides an excellent example of the benefits gained by evaluating individual budget terms, rather than simply evaluating the net end product, with large compensating errors between individual surface energy budget terms that result in the best net energy budget. Article in Journal/Newspaper Arctic Directory of Open Access Journals: DOAJ Articles Arctic Atmospheric Chemistry and Physics 14 1 427 445 |
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Directory of Open Access Journals: DOAJ Articles |
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English |
topic |
Physics QC1-999 Chemistry QD1-999 |
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Physics QC1-999 Chemistry QD1-999 G. de Boer M. D. Shupe P. M. Caldwell S. E. Bauer O. Persson J. S. Boyle M. Kelley S. A. Klein M. Tjernström Near-surface meteorology during the Arctic Summer Cloud Ocean Study (ASCOS): evaluation of reanalyses and global climate models |
topic_facet |
Physics QC1-999 Chemistry QD1-999 |
description |
Atmospheric measurements from the Arctic Summer Cloud Ocean Study (ASCOS) are used to evaluate the performance of three atmospheric reanalyses (European Centre for Medium Range Weather Forecasting (ECMWF)-Interim reanalysis, National Center for Environmental Prediction (NCEP)-National Center for Atmospheric Research (NCAR) reanalysis, and NCEP-DOE (Department of Energy) reanalysis) and two global climate models (CAM5 (Community Atmosphere Model 5) and NASA GISS (Goddard Institute for Space Studies) ModelE2) in simulation of the high Arctic environment. Quantities analyzed include near surface meteorological variables such as temperature, pressure, humidity and winds, surface-based estimates of cloud and precipitation properties, the surface energy budget, and lower atmospheric temperature structure. In general, the models perform well in simulating large-scale dynamical quantities such as pressure and winds. Near-surface temperature and lower atmospheric stability, along with surface energy budget terms, are not as well represented due largely to errors in simulation of cloud occurrence, phase and altitude. Additionally, a development version of CAM5, which features improved handling of cloud macro physics, has demonstrated to improve simulation of cloud properties and liquid water amount. The ASCOS period additionally provides an excellent example of the benefits gained by evaluating individual budget terms, rather than simply evaluating the net end product, with large compensating errors between individual surface energy budget terms that result in the best net energy budget. |
format |
Article in Journal/Newspaper |
author |
G. de Boer M. D. Shupe P. M. Caldwell S. E. Bauer O. Persson J. S. Boyle M. Kelley S. A. Klein M. Tjernström |
author_facet |
G. de Boer M. D. Shupe P. M. Caldwell S. E. Bauer O. Persson J. S. Boyle M. Kelley S. A. Klein M. Tjernström |
author_sort |
G. de Boer |
title |
Near-surface meteorology during the Arctic Summer Cloud Ocean Study (ASCOS): evaluation of reanalyses and global climate models |
title_short |
Near-surface meteorology during the Arctic Summer Cloud Ocean Study (ASCOS): evaluation of reanalyses and global climate models |
title_full |
Near-surface meteorology during the Arctic Summer Cloud Ocean Study (ASCOS): evaluation of reanalyses and global climate models |
title_fullStr |
Near-surface meteorology during the Arctic Summer Cloud Ocean Study (ASCOS): evaluation of reanalyses and global climate models |
title_full_unstemmed |
Near-surface meteorology during the Arctic Summer Cloud Ocean Study (ASCOS): evaluation of reanalyses and global climate models |
title_sort |
near-surface meteorology during the arctic summer cloud ocean study (ascos): evaluation of reanalyses and global climate models |
publisher |
Copernicus Publications |
publishDate |
2014 |
url |
https://doi.org/10.5194/acp-14-427-2014 https://doaj.org/article/02f87a7dfe1e47f79be1b7f9c548d3c8 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
Atmospheric Chemistry and Physics, Vol 14, Iss 1, Pp 427-445 (2014) |
op_relation |
http://www.atmos-chem-phys.net/14/427/2014/acp-14-427-2014.pdf https://doaj.org/toc/1680-7316 https://doaj.org/toc/1680-7324 1680-7316 1680-7324 doi:10.5194/acp-14-427-2014 https://doaj.org/article/02f87a7dfe1e47f79be1b7f9c548d3c8 |
op_doi |
https://doi.org/10.5194/acp-14-427-2014 |
container_title |
Atmospheric Chemistry and Physics |
container_volume |
14 |
container_issue |
1 |
container_start_page |
427 |
op_container_end_page |
445 |
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