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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Main Authors: F. De Biasio, M. M. Miglietta, S. Zecchetto, A. della Valle
Format: Article
Language:English
Published: Copernicus Publications 2014-05-01
Series:Advances in Science and Research
Online Access:http://www.adv-sci-res.net/11/41/2014/asr-11-41-2014.pdf
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spelling 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
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