A 30-YEAR GRIDDED ANALYSIS OF SUMMER TEMPERATURE AND PRECIPITATION OVER CENTRAL ASIA NON-PARAMETRIC MANN-KENDALL/SEN STATISTICS, ETCCDI EXTREME INDICES, AND A MULTI-SOURCE ASSESSMENT OF THE EARLY-SUMMER 2026 PRECIPITATION ANOMALY

This report analyses summer temperature and precipitation over Central Asia (with a focus on Uzbekistan) and Iran for 1996–2025 using spatially complete gridded datasets: precipitation from the bias-corrected NASA GPM IMERG product and temperature from the MERRA-2 reanalysis (both retrieved through the NASA POWER regional API), complemented by daily ERA5/ERA5-Land reanalysis series for extreme indices and point-scale verification (336 grid cells and 16 reference points in total). All trends were estimated with the non-parametric Mann-Kendall test and Sen's slope (pymannkendall library) and are reported with p-values and 95 % confidence intervals.