Air and ground temperature estimation using GLDAS and NCEP / NCAR

Air temperature and land surface are among the most important factors used in estimating many hydrological parameters at the catchment area. These parameters are measurable by the presence of thermal bands in sensors. In this study, GLDAS model with MODIS sensor and GLDAS model and NCEP / NCAR temperature estimation with station data in Alborz, Qazvin, Zanjan, Kurdistan and Hamadan provinces were evaluated. The GLDAS model with MODIS sensor did not achieve good results in assessing land surface temperature data. GLDAS and NCEP-NCAR air temperature data were evaluated with station data. The results showed that GLDAS and NCEP-NCAR have a good accuracy. For example, in comparing NCEP-NCAR with the average of Agkhiriz stations, Ekbatan Dam, Washj, Varineh, Khodabandeh, Sanandaj, Bijar and Ghorveh in 2008, the coefficient of explanation (R2), the efficiency coefficient of the model (EF), the mean error error (MBE) Mean absolute error (MAE) and root mean square error (RMSE) were 0.984, 0.987, 0.979, 0.979, and 1713.1 degrees Celsius, respectively