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Vol.1 , No. 4, Publication Date: Aug. 26, 2014, Page: 157-167
 against Surface Observations over Egypt&description=Egypt experiences from a lack of meteorological weather stations, so it needs new weather ground stations to be established, to cover different locations and well distributed along its area. So the aim of this study is to evaluate the available global reanalysis datasets with different spatial and temporal resolution against surface observations from different ground weather stations distributed all over Egypt. Based on the results of this evaluation, it could be very useful for Egypt to depend on this global dataset to be used as compensation in case of lack of in-situ observations. In this study, the dataset from National Centers for Environmental Prediction (NCEP) Climate Forecast System Reanalysis (CFSR) will be used for this purpose. In this study our evaluation has been done for CFSR against some meteorological parameters such as maximum and minimum temperature at two meters (Tmax) and (Tmin) respectively, mean temperature at two meters (T), dew point temperature at two meters (Td), pressure mean sea level (Pmsl), relative humidity (RH) and total cloud cover (Cld), which collected from 23 weather surface stations over Egypt. The results gave a good agreement between the CFSR and ground station measurements through twenty three stations. The differences between CFSR and observations were very small compared to each other. Also the values of MB, RMSE were within the acceptable range and represented a good agreement between CFSR and observations over most of the Egyptian weather stations. Most correlations were highly correlated except very few stations. The results proved that, it is acceptable to use the CFSR dataset in case of lack of measured meteorological parameters for most weather stations, but the dew point temperature and relative humidity estimated from CFSR need improvements for few weather stations.&picture=http://www.aascit.org/aascit/decorators/img/journal/902.jpg)
| [1] | Gamal El Afandi, College of Agriculture, Environment and Nutrition Sciences, Tuskegee University, Tuskegee, AL, USA; Department of Astronomy & Meteorology, Faculty of Science, Al Azhar University, Cairo Egypt. |
Egypt experiences from a lack of meteorological weather stations, so it needs new weather ground stations to be established, to cover different locations and well distributed along its area. So the aim of this study is to evaluate the available global reanalysis datasets with different spatial and temporal resolution against surface observations from different ground weather stations distributed all over Egypt. Based on the results of this evaluation, it could be very useful for Egypt to depend on this global dataset to be used as compensation in case of lack of in-situ observations. In this study, the dataset from National Centers for Environmental Prediction (NCEP) Climate Forecast System Reanalysis (CFSR) will be used for this purpose. In this study our evaluation has been done for CFSR against some meteorological parameters such as maximum and minimum temperature at two meters (Tmax) and (Tmin) respectively, mean temperature at two meters (T), dew point temperature at two meters (Td), pressure mean sea level (Pmsl), relative humidity (RH) and total cloud cover (Cld), which collected from 23 weather surface stations over Egypt. The results gave a good agreement between the CFSR and ground station measurements through twenty three stations. The differences between CFSR and observations were very small compared to each other. Also the values of MB, RMSE were within the acceptable range and represented a good agreement between CFSR and observations over most of the Egyptian weather stations. Most correlations were highly correlated except very few stations. The results proved that, it is acceptable to use the CFSR dataset in case of lack of measured meteorological parameters for most weather stations, but the dew point temperature and relative humidity estimated from CFSR need improvements for few weather stations.
Keywords
CFSR Data, Observations, Egypt, Evaluation
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