In mountain terrain, well-configured high-resolution atmospheric models are able to simulate total annual rain and snowfall better than spatial estimates derived from in situ observational …
Physically based models provide insights into key hydrologic processes but are associated with uncertainties due to deficiencies in forcing data, model parameters, and model …
Snow distribution is controlled by the interaction between local meteorology and static features like topography and vegetation. The resulting spatial pattern of snow in …
How Does Availability of Meteorological Forcing Data Impact Physically Based Snowpack Simulations? in: Journal of Hydrometeorology Volume 17 Issue 1 (2016) Jump to Content …
N Mizukami, MP Clark, ED Gutmann… - Journal of …, 2016 - journals.ametsoc.org
Continental-domain assessments of climate change impacts on water resources typically rely on statistically downscaled climate model outputs to force hydrologic models at a finer …
PA Mendoza, MP Clark, N Mizukami… - Hydrological …, 2016 - Wiley Online Library
End users face a range of subjective decisions when evaluating climate change impacts on hydrology, but the importance of these decisions is rarely assessed. In this paper, we …
KE Lapo, LM Hinkelman, MS Raleigh… - Water resources …, 2015 - Wiley Online Library
The forcing irradiances (downwelling shortwave and longwave irradiances) are the primary drivers of snowmelt; however, in complex terrain, few observations, the use of estimated …
Estimating basin‐mean precipitation in complex terrain is difficult due to uncertainty in the topographical representativeness of precipitation gauges relative to the basin. To address …
In mountain areas, the phenology and productivity of grassland are closely related to snow dynamics. However, the influence that snow melt timing has on grassland growing still …