dphase_peps: SRNWP-PEPS ensemble forecasts run by DWD for the MAP D-PHASE project

Link:
Autor/in:
Beteiligte Person:
  • Denhard, Michael
Verlag/Körperschaft:
World Data Center for Climate (WDCC) at DKRZ
Erscheinungsjahr:
2009
Medientyp:
Datensatz
Schlagworte:
  • Climate
  • DPHASE
  • ensemble runs
  • model data
  • regional model forecast
Beschreibung:
  • Project: D-PHASE, Demonstration of Probabilistic Hydrological and Atmospheric Simulation of flood Events in the Alpine region - The Mesoscale Alpine Programme (MAP, the first WWRP Research and Development Project (RDP)) is an international research initiative devoted to the study of atmospheric and hydrological processes over mountainous terrain. It aims towards expanding our knowledge of weather and climate over complex topography, and thereby to improve current forecasting capabilities. A large-scale field phase in the Alpine region took place from 7 September to 15 November 1999. D-PHASE (Demonstration of Probabilistic Hydrological and Atmospheric Simulation of flood Events in the Alpine region) is a WWRP Forecast Demonstration Project (FDP) and aims at demonstrating some of the many achievements of MAP, in particular the ability of forecasting heavy precipitation and related flooding events in the Alpine region. The MAP FDP will address the entire forecasting chain ranging from limited-area ensemble forecasting, high-resolution atmospheric modelling(km-scale), hydrological modelling, and nowcasting to decision making by the end users, i.e., it is foreseen to set up an end-to-end forecasting system. The demonstration period of MAP D-PHASE will be 1 June to 30 November 2007. See also official homepage: http://www.map.meteoswiss.ch/map-doc/dphase/dphase_info.htm Please be aware of the common COPS/GOP/D-PHASE data policy, which you please find at http://cops.wdc-climate.de/ Summary: The SRNWP-PEPS consists of 21 different operational limited area models: Weather Service / Limited Area Model / Resolution [km] / Coupling Model / Forcast Period / Time Interval [h] / Main Run [UTC] Denmark HIRLAM 16 ECMWF +60h 1 0, 6, 12, 18 Finland HIRLAM 22 ECMWF +54h 1 0, 6, 12, 18 Ireland HIRLAM 16 ECMWF +48h 3 0, 6, 12, 18 Netherlands HIRLAM 22 ECMWF +48h 1 0, 6, 12, 18 Spain HIRLAM 18 ECMWF +48h 1 0, 6, 12, 18 Norway HIRLAM 22 ECMWF +30h 1 0, 12 Sweden I HIRLAM 11 ECMWF +48h 3 0, 6, 12, 18 Sweden II HIRLAM 22 ECMWF +48h 3 0, 6, 12, 18 Belgium ALADIN 15 ARPEGE +60h 1 0, 12 Austria ALADIN_A 9.6 ARPEGE +48h 1 0, 12 France ALADIN_F 11 ARPEGE +48h 3 0, 12 Croatia ALADIN_L 8.9 ARPEGE +48h 3 0, 12 Czech Rep. ALADIN_L 11 ARPEGE +48h 1 0, 12 Hungary ALADIN_L 11 ARPEGE +48h 1 0, 12 Slovakia ALADIN_L 11 ARPEGE +48h 3 0, 12 Slovenia ALADIN_L 9.5 ARPEGE +48h 3 0, 12 United Kingdom UKMO-LAM 12 UM global +48h 3 0, 6, 12, 18 Germany LME 7 GME +78h 1 0, 12 // Germany LME 7 GME +48h 1 6, 18 Switzerland aLMo 7 ECMWF +72h 1 0, 12 Italy EuroLM 7 EuroHRM +60h 3 0, 12 Poland LM 14 GME +72h 3 0, 12 The relation between these models and the numbers of the SRNWP PEPS ensemble is anonymous. The SRNWP-PEPS generates probability forecasts by interpreting the overlapping areas of the single forecasts as members of a local ensemble. Due to the different domains of the deterministic models the size of the ensemble depends on location. Hence the quality of the forecasted probability distributions varies over the PEPS domain. THE PLEV data set could not be provided for PEPS. Grid description: xsize,ysize,xinc, yinc differ for ensemble members (see datasets) CDOM: xfirst: 6.0 yfirst: 47.0 xnpole: 0.0 ynpole: 0.0 DDOM: xfirst: 2.0 yfirst: 43.0 xnpole: 0.0 ynpole: 0.0
Lizenz:
  • Open access data at least for academic use.
Quellsystem:
Forschungsdaten DKRZ

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Quelldatensatz
oai:wdcc.dkrz.de:Datacite4_2152940_20161130