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Using A Gridded Global Dataset To Characterize Regional Hydroclimate In Central Chile, E.M.C. Demaria, Edwin P. Maurer, J. Sheffield, E. Bustos, D. Poblete, S. Vicuña, F. Meza
Using A Gridded Global Dataset To Characterize Regional Hydroclimate In Central Chile, E.M.C. Demaria, Edwin P. Maurer, J. Sheffield, E. Bustos, D. Poblete, S. Vicuña, F. Meza
Civil, Environmental and Sustainable Engineering
Central Chile is facing dramatic projections of climate change, with a consensus for declining precipitation, negatively affecting hydropower generation and irrigated agriculture. Rising from sea level to 6000 m within a distance of 200 km, precipitation characterization is difficult because of a lack of long-term observations, especially at higher elevations. For understanding current mean and extreme conditions and recent hydroclimatological change, as well as to provide a baseline for downscaling climate model projections, a temporally and spatially complete dataset of daily meteorology is essential. The authors use a gridded global daily meteorological dataset at 0.25° resolution for the period 1948–2008, …
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 …