Derivation of rainfall events using the gridded rainfall data using optimal combination of global rainfall datasets

Authors

1 Ph.D. Graduate of Water Resources Engineering, Shahid Chamran University, Ahvaz, Ahvaz, Iran

2 b Professor, Department of Hydrology and Water Resources, Faculty of Water Engineering, Shahid Chamran University of Ahvaz, Ahwaz, Iran

3 Assistant Professor, Department of Hydrology and Water Resources, Faculty of Water Engineering, Shahid Chamran University of Ahvaz Ahwaz, Iran

4 M.Sc Graduate in Civil- Environmental Engineering, Civil- Environmental Engineering Department, Faculty of Water Engineering, Ahwaz, Iran

Abstract

Since Gridded data provide a new solution for estimating rainfall with spatial and temporal variability, this study evaluates the performance of three gridded rainfall data sets PERSIANN, CMORPH and GLDAS and combines them with stepwise method in Upstream of the Idenak hydrometric station, the output of these products was compared with the rainfall data measured at the ground at the Dehno, Qaleh-Raeisi, Idenak and Margon stations. The results show that the combined data based on RMSE values had the best performance in all stations and the lowest value was estimated in Margon station with a value of 5.5 mm; Also, in terms of correlation coefficient parameter, the combined data provide more linear correlation with observational data, so that the maximum linear correlation coefficient is equal to 0.497. The results also show that the use of data combination will improve the spatial distribution of rainfall in both wet and dry seasons. The results of research on rainfall distribution indicate that the data combination has not been successful in estimating the number of rainfall events by different classes and the PERSIANN data set provides more appropriate results.

Keywords

References

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Water and Soil Science
Volume 32, Issue 2
January 2022
Pages 43-58

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