Numerical models sea surface wind compared to scatterometer observations for a single Bora event in the Adriatic Sea
We compare the sea surface wind fields forecasted by a Global Circulation Model (GCM) and three Limited Area Models (LAMs) in an operational-like set-up, with the wind remotely sensed by the NASA QuikSCAT scatterometer. The comparison is performed for a single case of Bora wind in the Adriatic Sea,...
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doaj-31a25b3689744e02abc8982ed8b54cb52020-11-25T00:15:10ZengCopernicus PublicationsAdvances in Science and Research1992-06281992-06362014-05-0111414810.5194/asr-11-41-2014Numerical models sea surface wind compared to scatterometer observations for a single Bora event in the Adriatic SeaF. De Biasio0M. M. Miglietta1S. Zecchetto2A. della Valle3Institute of Atmospheric Sciences and Climate, Italian National Research Council, Corso Stati Uniti 4, 35127 Padova, ItalyInstitute of Atmospheric Sciences and Climate, Italian National Research Council, Corso Stati Uniti 4, 35127 Padova, ItalyInstitute of Atmospheric Sciences and Climate, Italian National Research Council, Corso Stati Uniti 4, 35127 Padova, ItalyInstitute of Atmospheric Sciences and Climate, Italian National Research Council, Corso Stati Uniti 4, 35127 Padova, ItalyWe compare the sea surface wind fields forecasted by a Global Circulation Model (GCM) and three Limited Area Models (LAMs) in an operational-like set-up, with the wind remotely sensed by the NASA QuikSCAT scatterometer. The comparison is performed for a single case of Bora wind in the Adriatic Sea, with the purpose to understand the ability of the model forecasts in reproducing the mesoscale features captured by the scatterometer, and to investigate on the suitability of LAM and GCM forecasts as possible forcing in storm surge models (SSMs). The performance is evaluated by means of statistical parameters regarding wind speed and direction showing that, at least in terms of classical statistical parameters, the GCM offer the most advantageous choice in terms of cost/benefit.http://www.adv-sci-res.net/11/41/2014/asr-11-41-2014.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
F. De Biasio M. M. Miglietta S. Zecchetto A. della Valle |
spellingShingle |
F. De Biasio M. M. Miglietta S. Zecchetto A. della Valle Numerical models sea surface wind compared to scatterometer observations for a single Bora event in the Adriatic Sea Advances in Science and Research |
author_facet |
F. De Biasio M. M. Miglietta S. Zecchetto A. della Valle |
author_sort |
F. De Biasio |
title |
Numerical models sea surface wind compared to scatterometer observations for a single Bora event in the Adriatic Sea |
title_short |
Numerical models sea surface wind compared to scatterometer observations for a single Bora event in the Adriatic Sea |
title_full |
Numerical models sea surface wind compared to scatterometer observations for a single Bora event in the Adriatic Sea |
title_fullStr |
Numerical models sea surface wind compared to scatterometer observations for a single Bora event in the Adriatic Sea |
title_full_unstemmed |
Numerical models sea surface wind compared to scatterometer observations for a single Bora event in the Adriatic Sea |
title_sort |
numerical models sea surface wind compared to scatterometer observations for a single bora event in the adriatic sea |
publisher |
Copernicus Publications |
series |
Advances in Science and Research |
issn |
1992-0628 1992-0636 |
publishDate |
2014-05-01 |
description |
We compare the sea surface wind fields forecasted by a
Global Circulation Model (GCM) and three Limited Area Models (LAMs) in an
operational-like set-up, with the wind remotely sensed by the NASA QuikSCAT
scatterometer. The comparison is performed for a single case of Bora wind in
the Adriatic Sea, with the purpose to understand the ability of the model
forecasts in reproducing the mesoscale features captured by the
scatterometer, and to investigate on the suitability of LAM and GCM
forecasts as possible forcing in storm surge models (SSMs). The performance
is evaluated by means of statistical parameters regarding wind speed and direction showing that, at least in terms of classical statistical parameters, the GCM offer the most advantageous choice in terms of
cost/benefit. |
url |
http://www.adv-sci-res.net/11/41/2014/asr-11-41-2014.pdf |
work_keys_str_mv |
AT fdebiasio numericalmodelsseasurfacewindcomparedtoscatterometerobservationsforasingleboraeventintheadriaticsea AT mmmiglietta numericalmodelsseasurfacewindcomparedtoscatterometerobservationsforasingleboraeventintheadriaticsea AT szecchetto numericalmodelsseasurfacewindcomparedtoscatterometerobservationsforasingleboraeventintheadriaticsea AT adellavalle numericalmodelsseasurfacewindcomparedtoscatterometerobservationsforasingleboraeventintheadriaticsea |
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1725388325139775488 |