Accuracy Assessment of ECMWF Datasets in Prediction of Climate Data and Drought Monitoring of Garechai Basin of Markazi Province

Document Type : Research Paper


1 Department of Water Science and Engineering, Faculty of Agriculture and Environment, -Arak University-Arak, -Iran

2 Department of Water Science and Engineering, -Faculty of Agriculture and Environment, -Arak University,- Arak,-Iran

3 Department of Water Science and Engineering,- Faculty of Agriculture and Environment-, Arak University,- Arak,-Iran


In recent decades, the increasing development of satellite technologies has provided access to climate data around the world with different spatial and temporal resolution. Therefore, in the present study, the goal of evaluating ECMWF datasets models is to predict climate data and drought monitoring in Qarechai basin of Markazi province. To this end, first monthly precipitation and temperature data of synoptic stations of Hamedan, Qom and Shazand in three provinces during the period of 1987-2018 were collected. Then, the mentioned data with spatial resolution of 0.125 * 0.125 degrees during 1979-2020 were extracted from the reanalysis models including ERA-Interim and ERA5 of ECMWF datasets. Statistics criteria's such as coefficient of determination (R2), nash-sutcliffe (NS), normalized square root mean square error (NRMSE) and mean oblique error (MBE) and contingency table indices consisting of POD, FAR and CSI were used to compare the data of reanalysis models with observational data. The results showed that ERA5 data were more consistent with observational data than ERA-Interim data. As the values of correlation coefficient in most areas above 0.5, mean square error in 70% of areas is very low and mean oblique error in most areas is positive and small. The values of the agreement table indices also confirm the greater compatibility of the ERA5 model.   Afterward, based on data of the selected model and observational, SPEI and SPI drought indices in selected stations were calculated. The results showed that SPEI index had higher correlation and less error with SPI than SPI. Finally, the trend based on the selected index showed that the severity of drought in the western region compared to other regions, has an increasing trend at the level of 5%.


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