Using hydrologic modeling to examine the influence of dust deposition and climate change on snowmelt, runoff timing, and volume in the Colorado River Basin
The purpose of this project is to address questions related to Reclamation’s needs to improve existing methods of extreme precipitation estimation, as well as improved understanding of appropriate applications of model and reanalysis-based extreme precipitation data. This will involve extending the data development and model application methods featured in Livneh et al. (2013) to expand geographic coverage from contiguous U.S. to the North American Land Data Assimilation (NLDAS) domain. PI will document data and model development and demonstrate utility through evaluation of spatiotemporal statistics for temperature and precipitation, i.e. exceedance probabilities, frequency of extremes, and a comparison of drought characteristics relative to other dataset(s).