2001: Mesoscale modeling of katabatic winds over Greenland and comparisons with AWS and aircraft data
Verification of two months, April and May 1997, of 48-h mesoscale model simulations of the atmospheric state around Greenland are presented. The simulations are performed with a modified version of The Pennsylvania State University–National Center for Atmospheric Research fifth-generation Mesoscale...
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ftciteseerx:oai:CiteSeerX.psu:10.1.1.668.3208 2023-05-15T16:27:10+02:00 2001: Mesoscale modeling of katabatic winds over Greenland and comparisons with AWS and aircraft data David H. Bromwich John J. Cassano Thomas Klein Gunther Heinemann Keith M. Hines Konrad Steffen Jason E. Box The Pennsylvania State University CiteSeerX Archives application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.668.3208 http://polarmet.osu.edu/PolarMet/PMGFulldocs/bromwich_cassano_mwr_2001.pdf en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.668.3208 http://polarmet.osu.edu/PolarMet/PMGFulldocs/bromwich_cassano_mwr_2001.pdf Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://polarmet.osu.edu/PolarMet/PMGFulldocs/bromwich_cassano_mwr_2001.pdf text ftciteseerx 2016-01-08T17:12:01Z Verification of two months, April and May 1997, of 48-h mesoscale model simulations of the atmospheric state around Greenland are presented. The simulations are performed with a modified version of The Pennsylvania State University–National Center for Atmospheric Research fifth-generation Mesoscale Model (MM5), referred to as the Polar MM5. Global atmospheric analyses as well as automatic weather station and instrumented aircraft observations from Greenland are used to verify the forecast atmospheric state. The model is found to reproduce the observed atmospheric state with a high degree of realism. Monthly mean values of the near-surface tem-perature and wind speed predicted by the Polar MM5 differ from the observations by less than 1 K and 1 m s21, respectively, at most sites considered. In addition, the model is able to simulate a realistic diurnal cycle for the surface variables, as well as capturing the large-scale, synoptically forced changes in these variables. Comparisons of modeled profiles of wind speed, direction, and potential temperature in the katabatic layer with aircraft observations are also favorable, with small mean errors. The simulations of the katabatic winds are found to be sensitive to errors in the large-scale forcing (e.g., the large-scale pressure gradient) and to errors in the representation of key physical processes, such as turbulence in the very stable surface layer and cloud– radiation interaction. 1. Text Greenland Unknown Greenland |
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ftciteseerx |
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English |
description |
Verification of two months, April and May 1997, of 48-h mesoscale model simulations of the atmospheric state around Greenland are presented. The simulations are performed with a modified version of The Pennsylvania State University–National Center for Atmospheric Research fifth-generation Mesoscale Model (MM5), referred to as the Polar MM5. Global atmospheric analyses as well as automatic weather station and instrumented aircraft observations from Greenland are used to verify the forecast atmospheric state. The model is found to reproduce the observed atmospheric state with a high degree of realism. Monthly mean values of the near-surface tem-perature and wind speed predicted by the Polar MM5 differ from the observations by less than 1 K and 1 m s21, respectively, at most sites considered. In addition, the model is able to simulate a realistic diurnal cycle for the surface variables, as well as capturing the large-scale, synoptically forced changes in these variables. Comparisons of modeled profiles of wind speed, direction, and potential temperature in the katabatic layer with aircraft observations are also favorable, with small mean errors. The simulations of the katabatic winds are found to be sensitive to errors in the large-scale forcing (e.g., the large-scale pressure gradient) and to errors in the representation of key physical processes, such as turbulence in the very stable surface layer and cloud– radiation interaction. 1. |
author2 |
The Pennsylvania State University CiteSeerX Archives |
format |
Text |
author |
David H. Bromwich John J. Cassano Thomas Klein Gunther Heinemann Keith M. Hines Konrad Steffen Jason E. Box |
spellingShingle |
David H. Bromwich John J. Cassano Thomas Klein Gunther Heinemann Keith M. Hines Konrad Steffen Jason E. Box 2001: Mesoscale modeling of katabatic winds over Greenland and comparisons with AWS and aircraft data |
author_facet |
David H. Bromwich John J. Cassano Thomas Klein Gunther Heinemann Keith M. Hines Konrad Steffen Jason E. Box |
author_sort |
David H. Bromwich |
title |
2001: Mesoscale modeling of katabatic winds over Greenland and comparisons with AWS and aircraft data |
title_short |
2001: Mesoscale modeling of katabatic winds over Greenland and comparisons with AWS and aircraft data |
title_full |
2001: Mesoscale modeling of katabatic winds over Greenland and comparisons with AWS and aircraft data |
title_fullStr |
2001: Mesoscale modeling of katabatic winds over Greenland and comparisons with AWS and aircraft data |
title_full_unstemmed |
2001: Mesoscale modeling of katabatic winds over Greenland and comparisons with AWS and aircraft data |
title_sort |
2001: mesoscale modeling of katabatic winds over greenland and comparisons with aws and aircraft data |
url |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.668.3208 http://polarmet.osu.edu/PolarMet/PMGFulldocs/bromwich_cassano_mwr_2001.pdf |
geographic |
Greenland |
geographic_facet |
Greenland |
genre |
Greenland |
genre_facet |
Greenland |
op_source |
http://polarmet.osu.edu/PolarMet/PMGFulldocs/bromwich_cassano_mwr_2001.pdf |
op_relation |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.668.3208 http://polarmet.osu.edu/PolarMet/PMGFulldocs/bromwich_cassano_mwr_2001.pdf |
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Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
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1766016258819489792 |