Analysis of the long-term surface wind variability over complex terrain using a high spatial resolution WRF simulation

This work uses a WRF numerical simulation from 1960 to 2005 performed at a high horizontal resolution (2 km) to analyze the surface wind variability over a complex terrain region located in northern Iberia. A shorter slice of this simulation has been used in a previous study to demonstrate the abili...

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Published in:Climate Dynamics
Other Authors: Jimenez, Pedro (author), Gonzalez-Rouco, J. (author), Montavez, Juan (author), Garcia-Bustamante, E. (author), Navarro, J. (author), Dudhia, Jimy (author)
Format: Article in Journal/Newspaper
Language:English
Published: Springer 2013
Subjects:
Online Access:http://nldr.library.ucar.edu/repository/collections/OSGC-000-000-018-994
https://doi.org/10.1007/s00382-012-1326-z
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spelling ftncar:oai:drupal-site.org:articles_12735 2023-09-05T13:21:38+02:00 Analysis of the long-term surface wind variability over complex terrain using a high spatial resolution WRF simulation Jimenez, Pedro (author) Gonzalez-Rouco, J. (author) Montavez, Juan (author) Garcia-Bustamante, E. (author) Navarro, J. (author) Dudhia, Jimy (author) 2013-04-01 application/pdf http://nldr.library.ucar.edu/repository/collections/OSGC-000-000-018-994 https://doi.org/10.1007/s00382-012-1326-z en eng Springer Climate Dynamics http://nldr.library.ucar.edu/repository/collections/OSGC-000-000-018-994 doi:10.1007/s00382-012-1326-z ark:/85065/d7cr5v7h Copyright 2013 Springer-Verlag. Text article 2013 ftncar https://doi.org/10.1007/s00382-012-1326-z 2023-08-14T18:40:48Z This work uses a WRF numerical simulation from 1960 to 2005 performed at a high horizontal resolution (2 km) to analyze the surface wind variability over a complex terrain region located in northern Iberia. A shorter slice of this simulation has been used in a previous study to demonstrate the ability of the WRF model in reproducing the observed wind variability during the period 1992–2005. Learning from that validation exercise, the extended simulation is herein used to inspect the wind behavior where and when observations are not available and to determine the main synoptic mechanisms responsible for the surface wind variability. A principal component analysis was applied to the daily mean wind. Two principal modes of variation accumulate a large percentage of the wind variability (83.7%). The first mode reflects the channeling of the flow between the large mountain systems in northern Iberia modulated by the smaller topographic features of the region. The second mode further contributes to stress the differentiated wind behavior over the mountains and valleys. Both modes show significant contributions at the higher frequencies during the whole analyzed period, with different contributions at lower frequencies during the different decades. A strong relationship was found between these two modes and the zonal and meridional large scale pressure gradients over the area. This relationship is described in the context of the influence of standard circulation modes relevant in the European region like the North Atlantic Oscillation, the East Atlantic pattern, East Atlantic/Western Russia pattern, and the Scandinavian pattern. Article in Journal/Newspaper North Atlantic North Atlantic oscillation OpenSky (NCAR/UCAR - National Center for Atmospheric Research/University Corporation for Atmospheric Research) Climate Dynamics 40 7-8 1643 1656
institution Open Polar
collection OpenSky (NCAR/UCAR - National Center for Atmospheric Research/University Corporation for Atmospheric Research)
op_collection_id ftncar
language English
description This work uses a WRF numerical simulation from 1960 to 2005 performed at a high horizontal resolution (2 km) to analyze the surface wind variability over a complex terrain region located in northern Iberia. A shorter slice of this simulation has been used in a previous study to demonstrate the ability of the WRF model in reproducing the observed wind variability during the period 1992–2005. Learning from that validation exercise, the extended simulation is herein used to inspect the wind behavior where and when observations are not available and to determine the main synoptic mechanisms responsible for the surface wind variability. A principal component analysis was applied to the daily mean wind. Two principal modes of variation accumulate a large percentage of the wind variability (83.7%). The first mode reflects the channeling of the flow between the large mountain systems in northern Iberia modulated by the smaller topographic features of the region. The second mode further contributes to stress the differentiated wind behavior over the mountains and valleys. Both modes show significant contributions at the higher frequencies during the whole analyzed period, with different contributions at lower frequencies during the different decades. A strong relationship was found between these two modes and the zonal and meridional large scale pressure gradients over the area. This relationship is described in the context of the influence of standard circulation modes relevant in the European region like the North Atlantic Oscillation, the East Atlantic pattern, East Atlantic/Western Russia pattern, and the Scandinavian pattern.
author2 Jimenez, Pedro (author)
Gonzalez-Rouco, J. (author)
Montavez, Juan (author)
Garcia-Bustamante, E. (author)
Navarro, J. (author)
Dudhia, Jimy (author)
format Article in Journal/Newspaper
title Analysis of the long-term surface wind variability over complex terrain using a high spatial resolution WRF simulation
spellingShingle Analysis of the long-term surface wind variability over complex terrain using a high spatial resolution WRF simulation
title_short Analysis of the long-term surface wind variability over complex terrain using a high spatial resolution WRF simulation
title_full Analysis of the long-term surface wind variability over complex terrain using a high spatial resolution WRF simulation
title_fullStr Analysis of the long-term surface wind variability over complex terrain using a high spatial resolution WRF simulation
title_full_unstemmed Analysis of the long-term surface wind variability over complex terrain using a high spatial resolution WRF simulation
title_sort analysis of the long-term surface wind variability over complex terrain using a high spatial resolution wrf simulation
publisher Springer
publishDate 2013
url http://nldr.library.ucar.edu/repository/collections/OSGC-000-000-018-994
https://doi.org/10.1007/s00382-012-1326-z
genre North Atlantic
North Atlantic oscillation
genre_facet North Atlantic
North Atlantic oscillation
op_relation Climate Dynamics
http://nldr.library.ucar.edu/repository/collections/OSGC-000-000-018-994
doi:10.1007/s00382-012-1326-z
ark:/85065/d7cr5v7h
op_rights Copyright 2013 Springer-Verlag.
op_doi https://doi.org/10.1007/s00382-012-1326-z
container_title Climate Dynamics
container_volume 40
container_issue 7-8
container_start_page 1643
op_container_end_page 1656
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