Assessment of climate change impact on wintertime meteorology over California using dynamical downscaling method with a bias correction technique

Abstract Climate change can potentially have great impacts on wintertime precipitation and stagnant conditions, which are critical for both water resources particulate matter (PM), in California. This study utilizes the Weather Research Forecasting model to dynamically downscale a bias-corrected coarse-resolution global climate dataset from Coupled Model Intercomparison Project Phase 5 (CMIP5) grid size of 4 × km 2 over California present (2003–2012) future (2046–2055) decade. Compared climate, an increase 2-m temperature (up K) vapor mixing ratio 1 g/kg) decrease planetary boundary layer height 80 m) projected by 2050s entire state The number days San Joaquin Valley is expected approximately 6% decade, indicating potential exacerbation winter PM issue this region. up 50% northern and, conversely, 40% southern during 2046–2055. solid phase mountain ranges with lower elevations despite overall total precipitation, while it eastern side Sierra Nevada elevation km.