Updated insights on climate change-driven temperature variability across historical and future periods
摘要
This study highlights the benefits of using high-resolution reanalysis and climate models to assess climate change over time at the subcontinental scale for both present and future periods. The emergence of climate change over the internal variability for each AR6 region is studied by evaluating the decadal frequency distributions of the monthly normalized 2 m temperature anomalies for the 1951-2020 historical and 2015-2100 future periods. To achieve this, monthly averaged daily temperature data from ERA5 and an ensemble of 22 CMIP6 GCMs, following a range of future climate scenarios (SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5), are used. The ERA5 results show a decadal shift in the mean temperature anomalies between 0.6-2.6