Repository logo
  • English
  • Català
  • Čeština
  • Deutsch
  • Español
  • Français
  • Gàidhlig
  • Italiano
  • Latviešu
  • Magyar
  • Nederlands
  • Polski
  • Português
  • Português do Brasil
  • Srpski (lat)
  • Suomi
  • Svenska
  • Türkçe
  • Tiếng Việt
  • Қазақ
  • বাংলা
  • हिंदी
  • Ελληνικά
  • Српски
  • Yкраї́нська
  • Log In
    New user? Click here to register. Have you forgotten your password?
Repository logo
  • Colleges, Institutes & Collections
  • Browse AAU-ETD
  • English
  • Català
  • Čeština
  • Deutsch
  • Español
  • Français
  • Gàidhlig
  • Italiano
  • Latviešu
  • Magyar
  • Nederlands
  • Polski
  • Português
  • Português do Brasil
  • Srpski (lat)
  • Suomi
  • Svenska
  • Türkçe
  • Tiếng Việt
  • Қазақ
  • বাংলা
  • हिंदी
  • Ελληνικά
  • Српски
  • Yкраї́нська
  • Log In
    New user? Click here to register. Have you forgotten your password?
  1. Home
  2. Browse by Author

Browsing by Author "Gebremariam, Temesgen"

Now showing 1 - 1 of 1
Results Per Page
Sort Options
  • No Thumbnail Available
    Item
    Improved Convective Parametrization for Precipitation Modeling over the Horn of Africa
    (Addis Ababa University, 2011-06) Gebremariam, Temesgen; Mengistu, Gizaw (PhD)
    The study compared the performance of four di erent cumulus parametrization schemes in the ICTP's Regional Climate Model RegCM4 for the period 1989-2008 over the Horn of Africa. The Horn of Africa has been delineated in to 12 homogeneous region based on clustering method that minimizes a sum of dissimilarities. Grell-FC scheme best captured the mean climatology. Within the 12 clustered regions positive/negative precipitation biases are obtained in Emanuel/Grell-AS and Kuo convective schemes while intermediate values closer to zero are obtained in Grell-FC. Grell-FC scheme is then selected for customization over the Horn of Africa. To improve the simulation of rainfall using the selected Grell-FC scheme, several sensitivity experiments are performed by adjusting the minimum and maximum precipitation e ciency, the minimum and maximum shear e ect on precipitation e ciency, the minimum and maximum convective heating and the available buoyant energy removal time scale. Setting the minimum and maximum shear e ect on precipitation e ciency to 0.10 and 0.30 respectively improve the correlation, which implies a better simulation of precipitation. Setting the minimum and maximum convective heating to -150 and 400 respectively minimize the positive bias over most of the regions. 17 years long period run revealed that using the new values of shear e ect on precipitation e ciency improve the correlation and representation of the inter-annual variability

Home |Privacy policy |End User Agreement |Send Feedback |Library Website

Addis Ababa University © 2023