Abstract: AbstractHigh-resolution gridded datasets are in high demand because they are spatially complete and include important finescale details. Previous assessments have been limited to two to three gridded datasets or analyzed ...

Abstract: sing the hybrid downscaling technique developed in part I of this study, temperature changes relative to a baseline period (1981?2000) in the greater Los Angeles region are downscaled for two future time slices: midcentury ...

Abstract: AbstractUsing hybrid dynamical?statistical downscaling, 3-km-resolution end-of-twenty-first-century runoff timing changes over California?s Sierra Nevada for all available global climate models (GCMs) from phase 5 of the ...

Abstract: n this study (Part I), the mid-twenty-first-century surface air temperature increase in the entire CMIP5 ensemble is downscaled to very high resolution (2 km) over the Los Angeles region, using a new hybrid dynamical?statistical ...

Abstract: AbstractCalifornia?s Sierra Nevada is a high-elevation mountain range with significant seasonal snow cover. Under anthropogenic climate change, amplification of the warming is expected to occur at elevations near snow ...

Abstract: new hybrid statistical?dynamical downscaling technique is described to project mid- and end-of-twenty-first-century local precipitation changes associated with 36 global climate models (GCMs) in phase 5 of the Coupled Model ...

Abstract: uture snowfall and snowpack changes over the mountains of Southern California are projected using a new hybrid dynamical?statistical framework. Output from all general circulation models (GCMs) in phase 5 of the Coupled ...