Climate change impacts will be felt locally, but global models can't provide detailed regional info. Downscaling methods like dynamical and statistical downscaling help bridge this gap. Recent studies show both methods are good at simulating current climate, but differ for future conditions. Dynamical downscaling with regional climate models is better at capturing local effects like orography. Despite successes, biases in simulated precipitation, like winter wet bias in Western US mountains, remain. Improving forecasts over California mountains is crucial for water management adaptation to climate change.