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High Resolution Modelling of Wind Fields for Optimization of Empirical Storm Flood Predictions : Volume 11, Issue 1 (06/05/2014)

By Brecht, B.

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Book Id: WPLBN0003982669
Format Type: PDF Article :
File Size: Pages 6
Reproduction Date: 2015

Title: High Resolution Modelling of Wind Fields for Optimization of Empirical Storm Flood Predictions : Volume 11, Issue 1 (06/05/2014)  
Author: Brecht, B.
Volume: Vol. 11, Issue 1
Language: English
Subject: Science, Advances, Science
Collections: Periodicals: Journal and Magazine Collection, Copernicus GmbH
Historic
Publication Date:
2014
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

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Brecht, B., & Frank, H. (2014). High Resolution Modelling of Wind Fields for Optimization of Empirical Storm Flood Predictions : Volume 11, Issue 1 (06/05/2014). Retrieved from http://www.ebooklibrary.org/


Description
Description: Deutscher Wetterdienst, Offenbach, Germany. High resolution wind fields are necessary to predict the occurrence of storm flood events and their magnitude. Deutscher Wetterdienst (DWD) created a catalogue of detailed wind fields of 39 historical storms at the German North Sea coast from the years 1962 to 2011. The catalogue is used by the Niedersächsisches Landesamt für Wasser-, Küsten- und Naturschutz (NLWKN) coastal research center to improve their flood alert service.

The computation of wind fields and other meteorological parameters is based on the model chain of the DWD going from the global model GME via the limited-area model COSMO with 7 km mesh size down to a COSMO model with 2.2 km. To obtain an improved analysis COSMO runs are nudged against observations for the historical storms. The global model GME is initialised from the ERA reanalysis data of the European Centre for Medium-Range Weather Forecasts (ECMWF).

As expected, we got better congruency with observations of the model for the nudging runs than the normal forecast runs for most storms. We also found during the verification process that different land use data sets could influence the results considerably.


Summary
High resolution modelling of wind fields for optimization of empirical storm flood predictions

Excerpt
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