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The Utility Of Daily Large-Scale Climate Data In The Assessment Of Climate Change Impacts On Daily Streamflow In California, Edwin P. Maurer, H. G. Hidalgo, T. Das, M. D. Dettinger, D. R. Cayan
The Utility Of Daily Large-Scale Climate Data In The Assessment Of Climate Change Impacts On Daily Streamflow In California, Edwin P. Maurer, H. G. Hidalgo, T. Das, M. D. Dettinger, D. R. Cayan
Civil, Environmental and Sustainable Engineering
Three statistical downscaling methods were applied to NCEP/NCAR reanalysis (used as a surrogate for the best possible general circulation model), and the downscaled meteorology was used to drive a hydrologic model over California. The historic record was divided into an “observed” period of 1950–1976 to provide the basis for downscaling, and a “projected” period of 1977–1999 for assessing skill. The downscaling methods included a biascorrection/ spatial downscaling method (BCSD), which relies solely on monthly large scale meteorology and resamples the historical record to obtain daily sequences, a constructed analogues approach (CA), which uses daily large-scale anomalies, and a hybrid method …
Climate Change Impacts On Water Demand And Salinity In California's Irrigated Agriculture, Gerrit Schoups, Edwin P. Maurer, Jan Hopmans
Climate Change Impacts On Water Demand And Salinity In California's Irrigated Agriculture, Gerrit Schoups, Edwin P. Maurer, Jan Hopmans
Civil, Environmental and Sustainable Engineering
This paper examines potential regional-scale impacts of climate change on sustainability of irrigated agriculture, focusing on the western San Joaquin Valley in California. We consider potential changes in irrigation water demand and supply, and quantify impacts on the hydrologic system, soil and groundwater salinity with associated crop yield reductions. Our analysis is based on archived output from General Circulation Model (GCM) climate projections through 2100, which were downscaled to the 1,400 km2 study area. We account for uncertainty in GCM climate projections by considering two different GCM's, each using three greenhouse gas emission scenarios. Significant uncertainty in projected precipitation creates …