Improved Convective Parametrization for Precipitation Modeling over the Horn of Africa

dc.contributor.advisorMengistu, Gizaw (PhD)
dc.contributor.authorGebremariam, Temesgen
dc.date.accessioned2018-07-04T12:27:24Z
dc.date.accessioned2023-11-09T11:24:31Z
dc.date.available2018-07-04T12:27:24Z
dc.date.available2023-11-09T11:24:31Z
dc.date.issued2011-06
dc.description.abstractThe 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 variabilityen_US
dc.identifier.urihttp://10.90.10.223:4000/handle/123456789/6441
dc.language.isoenen_US
dc.publisherAddis Ababa Universityen_US
dc.subjectModeling over the Horn of Africaen_US
dc.titleImproved Convective Parametrization for Precipitation Modeling over the Horn of Africaen_US
dc.typeThesisen_US

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