Evaluation of ERA5-Land reanalysis datasets for extreme temperatures in the Qilian Mountains of China

An increase in extreme temperature events could have a significant impact on terrestrial ecosystems. Reanalysis data are an important set for estimation mountainous areas with few meteorological stations. The ability of ERA5-Land reanalysis to capture the index published by Expert Team Climate Change Detection and Indices (ETCCDI) was evaluated using observational from 17 stations Qilian Mountains (QLM) during 1979–2017. results show that can well daily maximum temperature, two warm extremes (TXx TX90p) one cold (FD0) QLM. ERA5-Land’s is best summer worst spring winter. In addition, trends all indices except range (DTR). main bias due difference elevation between ground observation station grid point. simulation accuracy increases decrease difference. provide reference study local data.