• DocumentCode
    548338
  • Title

    Weather prediction over Caucasus region using WRF-ARW model

  • Author

    Davitashvili, T. ; Kvatadze, R. ; Kutaladze, N.

  • Author_Institution
    Vekua Inst. of Appl. Math., Tbilisi State Univ., Tbilisi, Georgia
  • fYear
    2011
  • fDate
    23-27 May 2011
  • Firstpage
    326
  • Lastpage
    330
  • Abstract
    We have elaborated and configured weather research forecast - advanced researcher weather model for Caucasus region considering geographical-landscape character, topography height, land use, soil type and temperature in deep layers, vegetation monthly distribution, albedo and others. Porting of weather research forecast - advanced researcher weather application to the grid was a good opportunity for storing large amount of data on the grid storage elements. On the grid weather research forecast - advanced researcher weather was compiled on the platform Linux-x86. In searching of optimal execution time for time saving different model directory structures and storage schema was used. Simulations were performed using a set of 2 domains with horizontal grid-point resolutions of 15 and 5 km, both defined as those currently being used for operational forecasts The coarser domain is a grid of 94×102 points which covers the South Caucasus region, while the nested inner domain has a grid size of 70×70 points mainly territory of Georgia. Both use the default 31 vertical levels. We have studied the effect of thermal and advective-dynamic factors of atmosphere on the changes of the West Georgian climate. We have shown that non-proportional warming of the Black Sea and Colkhi lowland provokes the intensive strengthening of circulation. Some results of calculations of the interaction of airflow with complex orography of Caucasus with horizontal grid-point resolutions of 15 and 5 km are presented.
  • Keywords
    albedo; atmospheric boundary layer; atmospheric temperature; geophysics computing; land surface temperature; topography (Earth); vegetation; weather forecasting; Black Sea warming; Colkhi lowland warming; Linux-x86 platform; WRF-ARW model; Weather Research Forecast-Advanced Researcher Weather model; advective dynamic factor effects; albedo; deep layer temperature; geographical landscape character; grid WRF-ARW; grid storage elements; land use; soil type; south Caucasus region; thermal factor effects; topography height; vegetation monthly distribution; weather prediction; west Georgian climate; Atmospheric modeling; Computational modeling; Numerical models; Predictive models; Weather forecasting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    MIPRO, 2011 Proceedings of the 34th International Convention
  • Conference_Location
    Opatija
  • Print_ISBN
    978-1-4577-0996-8
  • Type

    conf

  • Filename
    5967075