Spatiotemporal analysis of drought by CHIRPS precipitation estimates

Drought is one of the most devastating natural hazards causing considerable losses in all climatic zones world. It complex and least understood at same time because its spatially heterogeneous temporally variable character. Spatially dense uniformly distributed ground-based meteorological data are needed for proper spatial temporal drought analysis. In practice, such lacking general due either to nonexistence ground stations or their uneven scarce distribution over a region. This creates great potential use satellite precipitation estimates (SPEs) as long-period high-resolution Climate Hazards Group Infrared Precipitation with Station (CHIRPS) this study, we aim analyze Kucuk Menderes River Basin western part Turkey by using CHIRPS data, which were found highly correlated local stations. The analysis was performed considering variability change characterization based on Standardized Index (SPI) calculated 3-month (seasonal) timescale. river basin have within-year from month month, any given month. Also, an over-year decreasing trend exists, could be considered signal more strengthened droughts future. study eventually demonstrates how SPEs useful regions limited data.