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meteorological

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  • The basis of the Numerical Ocean Wave Prediction of the Deutscher Wetterdienst (DWD) is a 3rd generation spectral wave model (3G-WAveModel). Spectral models describe the sea state in terms of the 2-dimensional distribution of wave energy by frequency (or period or wave number) and propagation direction. In the current version, a resolution of 36 directions and 30 frequencies (wave periods between 1.5 and 24 seconds) is used. In the numerical model, the temporal evolution of the wave energy spectrum is calculated at a multi-tude of points of a grid stretched over the sea surface. The wave energy changes through the following physical processes: • Wave growth due to the downward momentum flux from the wind field • Wave propagation (advection, refraction) • Redistribution of energy between wavenumbers due to nonlinear interactions • Dissipation (internal friction and wave breaking) Similar to the chain of atmospheric models (ICON, ICON-EU and ICON-D2), the wave prediction system serves more than one forecast areas: the global model GWAM, the European model EWAM and the high-resolution coastal model CWAM. In the model, wave growth is forced by analyzed and predicted 10m winds of the atmospheric models.

  • The basis of the Numerical Ocean Wave Prediction of the Deutscher Wetterdienst (DWD) is a 3rd generation spectral wave model (3G-WAveModel). Spectral models describe the sea state in terms of the 2-dimensional distribution of wave energy by frequency (or period or wave number) and propagation direction. In the current version, a resolution of 36 directions and 30 frequencies (wave periods between 1.5 and 24 seconds) is used. In the numerical model, the temporal evolution of the wave energy spectrum is calculated at a multi-tude of points of a grid stretched over the sea surface. The wave energy changes through the following physical processes: • Wave growth due to the downward momentum flux from the wind field • Wave propagation (advection, refraction) • Redistribution of energy between wavenumbers due to nonlinear interactions • Dissipation (internal friction and wave breaking) Similar to the chain of atmospheric models (ICON, ICON-EU and ICON-D2), the wave prediction system serves more than one forecast areas: the global model GWAM, the European model EWAM and the high-resolution coastal model CWAM. In the model, wave growth is forced by analyzed and predicted 10m winds of the atmospheric models.

  • The basis of the Numerical Ocean Wave Prediction of the Deutscher Wetterdienst (DWD) is a 3rd generation spectral wave model (3G-WAveModel). Spectral models describe the sea state in terms of the 2-dimensional distribution of wave energy by frequency (or period or wave number) and propagation direction. In the current version, a resolution of 36 directions and 30 frequencies (wave periods between 1.5 and 24 seconds) is used. In the numerical model, the temporal evolution of the wave energy spectrum is calculated at a multi-tude of points of a grid stretched over the sea surface. The wave energy changes through the following physical processes: • Wave growth due to the downward momentum flux from the wind field • Wave propagation (advection, refraction) • Redistribution of energy between wavenumbers due to nonlinear interactions • Dissipation (internal friction and wave breaking) Similar to the chain of atmospheric models (ICON, ICON-EU and ICON-D2), the wave prediction system serves more than one forecast areas: the global model GWAM, the European model EWAM and the high-resolution coastal model CWAM. In the model, wave growth is forced by analyzed and predicted 10m winds of the atmospheric models.

  • In dieser Gruppe "MARKLIM" sind klimatologische Daten der maritimem Meteorlogie enthalten. Die CONTENTS-Files enthalten das Inhaltsverzeichnis der zugehörigen Quadrant-Zusammenstellungen: CONTENTS_NE_Quadrant CONTENTS_NW_Quadrant CONTENTS_SE_Quadrant CONTENTS_SW_Quadrant

  • Gridded data of daily precipitation with 1 km horizontal resolution provided by the hydrometeorology of Deutscher Wetterdienst. The data are combined as arc-Files of one year. For data handling and product description see de.dwd.hydromet.regnie.daily.info (only available in German). Please use the Software-Download under Miscellaneous -> Tools -> REGNIE to handle the arc Files.

  • The QTMO98 TTAAii Data Designators decode as: T1 (Q): Pictorial information regional (Binary coded) T1T2 (QT): Temperature A2 (O): 42 hours forecast T1ii (Q98): Air priorities for the Earth's surface (Remarks from Volume-C: (COSEU) Tmin (gpv) H+42 (gpv))

  • The PAAM40 TTAAii Data Designators decode as: T1 (P): Pictorial information (Binary coded) T1T2 (PA): Radar data (Remarks from Volume-C: 10103 BORKUM RADAR DATA)

  • The PPOL89 TTAAii Data Designators decode as: T1 (P): Pictorial information (Binary coded) T1T2 (PP): Pressure A2 (L): 84 hours forecast T1ii (P89): Any parameter reduced to sea level (eg MSLP) (Remarks from Volume-C: H+84 MSL pressure with fronts)