Abstract:Reanalysis products hold significant application value in extreme weather risk assessment, renewable energy planning, climate change research, and artificial intelligence. Systematic evaluation of the accuracy and applicability of 2m temperature reanalysis products is a prerequisite for their reliable utilization in scientific investigations. This study employs hourly 2m temperature observations from Chinese automatic weather stations (2021–2022) to evaluate three reanalysis products—CMA Regional Re-Analysis (CMA-RRA), ECMWF Reanalysis v5 (ERA5), and Modern-Era Retrospective Analysis for Research and Applications, v2 (MERRA2). Results indicate that: Summer high-temperatures are concentrated in the Yangtze-Huai River Basin (June) and South China and Sichuan Basin regions (July–August),with 2022 high-temperature intensity surpassing 2021 levels. CMA-RRA exhibiting the smallest RMSE (<2°C) and highest correlation coefficient (R≥0.9). For Sichuan Basin extreme high-temperatures, CMA-RRA effectively captures diurnal variations and spatial patterns, achieving the highest Critical Success Index. While ERA5 shows premature heat onset timing and spatial overestimation, and MERRA2 systematically underestimates both intensity and duration of high-temperature events.