Evaluation of weather Research Forcasting (wrf) Microphysics in Capturing short rain over Ethiopia
| dc.contributor.advisor | Mengistu, Gizaw (Professor) | |
| dc.contributor.author | Aleibie, Amarech | |
| dc.date.accessioned | 2018-06-18T08:07:49Z | |
| dc.date.accessioned | 2023-11-09T11:26:03Z | |
| dc.date.available | 2018-06-18T08:07:49Z | |
| dc.date.available | 2023-11-09T11:26:03Z | |
| dc.date.issued | 2016-07 | |
| dc.description.abstract | The Weather Research and Forecasting (WRF) model has been used to simulate clouds and their e ects on precipitation over Ethiopia. The results have been compared with the Global Precipitation Climatology Center (GPCC) observations. This study identi es the precipitation capturing skill of the ten microphysics in weather research and forecasting (WRF) model during three years namely; El Ni~no, La Ni~na, and Normal years. The study domain covers Ethiopia with 10 km by 10 km horizontal grid resolution. The statistical tools used are correlation coe cient (R), bias, mean absolute error (MAE), and root mean square error (RMSE). The analysis has shown that precipitation capturing skill of most microphysics are almost the same for all years. The result has pointed out that Morrison 2-moment, Thompson, and WSM6 are the best three microphysics for El Ni~no year; Thompson, Goddard, and Morrison 2-moment are the rst 3 microphysics for La Ni~na year; and Thompson, Goddard, and Morrison 2-moment become the best 3 microphysics for Normal year | en_US |
| dc.identifier.uri | http://10.90.10.223:4000/handle/123456789/1200 | |
| dc.language.iso | en | en_US |
| dc.publisher | Addis Ababa University | en_US |
| dc.subject | The Weather Research | en_US |
| dc.title | Evaluation of weather Research Forcasting (wrf) Microphysics in Capturing short rain over Ethiopia | en_US |
| dc.type | Thesis | en_US |