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 At...

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Main Authors: Shupe, M.D., Caldwell, P.M., Boyle, J.S., Persson, O., Kelley, M., Bauer, Susanne E., Tjernstrom, M., De Boer, G., Klein, S.A.
Format: Other/Unknown Material
Language:unknown
Published: 2014
Subjects:
Online Access:http://hdl.handle.net/2060/20140017630
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spelling ftnasantrs:oai:casi.ntrs.nasa.gov:20140017630 2023-05-15T14:54:11+02:00 Near-Surface Meteorology During the Arctic Summer Cloud Ocean Study (ASCOS): Evaluation of Reanalyses and Global Climate Models. Shupe, M.D. Caldwell, P.M. Boyle, J.S. Persson, O. Kelley, M. Bauer, Susanne E. Tjernstrom, M. De Boer, G. Klein, S.A. Unclassified, Unlimited, Publicly available January 13, 2014 application/pdf http://hdl.handle.net/2060/20140017630 unknown Document ID: 20140017630 http://hdl.handle.net/2060/20140017630 Copyright, Distribution under U.S. Government purpose rights CASI Meteorology and Climatology GSFC-E-DAA-TN17100 Atmospheric Chemistry and Physics; 14; 1; 427-445 2014 ftnasantrs 2019-07-21T00:21:04Z 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. Other/Unknown Material Arctic NASA Technical Reports Server (NTRS) Arctic
institution Open Polar
collection NASA Technical Reports Server (NTRS)
op_collection_id ftnasantrs
language unknown
topic Meteorology and Climatology
spellingShingle Meteorology and Climatology
Shupe, M.D.
Caldwell, P.M.
Boyle, J.S.
Persson, O.
Kelley, M.
Bauer, Susanne E.
Tjernstrom, M.
De Boer, G.
Klein, S.A.
Near-Surface Meteorology During the Arctic Summer Cloud Ocean Study (ASCOS): Evaluation of Reanalyses and Global Climate Models.
topic_facet Meteorology and Climatology
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 Other/Unknown Material
author Shupe, M.D.
Caldwell, P.M.
Boyle, J.S.
Persson, O.
Kelley, M.
Bauer, Susanne E.
Tjernstrom, M.
De Boer, G.
Klein, S.A.
author_facet Shupe, M.D.
Caldwell, P.M.
Boyle, J.S.
Persson, O.
Kelley, M.
Bauer, Susanne E.
Tjernstrom, M.
De Boer, G.
Klein, S.A.
author_sort Shupe, M.D.
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.
publishDate 2014
url http://hdl.handle.net/2060/20140017630
op_coverage Unclassified, Unlimited, Publicly available
geographic Arctic
geographic_facet Arctic
genre Arctic
genre_facet Arctic
op_source CASI
op_relation Document ID: 20140017630
http://hdl.handle.net/2060/20140017630
op_rights Copyright, Distribution under U.S. Government purpose rights
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