4.6 Article

Assimilation of water-vapour airborne lidar observations: impact study on the COPS precipitation forecasts

期刊

出版社

WILEY-BLACKWELL
DOI: 10.1002/qj.1864

关键词

LEANDRE 2; WALES; AROME; VERA

资金

  1. World Weather Research Program (WWRP) in the scientific planning of COPS
  2. German Research Foundation [1167]
  3. Institut des Sciences de lUnivers (CNRS/INSU)
  4. Centre National de la Recherche Spatiale (CNES)
  5. Agence Nationale pour la Recherche (ANR)
  6. Meteo-France
  7. Austrian Science Foundation (FWF)
  8. University of Vienna
  9. Meteo-France andGrand Equipement National de Calcul Intensif (GENCI) [100569-CP1]

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The Convective and Orographically-driven Precipitation Study (COPS) carried out in summer 2007 over northeastern France and southwestern Germany provided a fairly comprehensive description of the low-troposphere water-vapour field, thanks in particular to the deployment of two airborne differential absorption lidar systems. These lidar observations were assimilated using the 3D-Var assimilation system of the Application of Research to Operations at MEsoscale (AROME) numerical weather prediction mesoscale model. The assimilation was carried out for the period 4 July3 August by running a three-hour forward intermittent assimilation cycle. First, the impact of the lidar observations was assessed by comparing the analyses with a set of more than 200 independent soundings. The lidar observations were found to have a positive impact on the analyses by reducing the dry bias in the first 500 m above ground level and by diminishing the root-mean-square error by roughly 15% in the first km. Then the impact of the lidar observations was assessed by comparing the precipitation forecasts (obtained with and without the lidar observations for the period 15 July2 August) with the gridded precipitation observations provided by the Vienna Enhanced Resolution Analysis. In general, the impact was found to be positive but not significant for the 24 h precipitation and positive and significant for the 6 h precipitation, with an improvement lasting up to 24 h. Some selected case studies show that the improvement was obtained through a better depiction of convection initiation or through a more accurate positioning of the precipitation systems. Copyright (c) 2011 Royal Meteorological Society

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