Climatic Change, 2017, Vol.141(3), p.451(15)
To access, purchase, authenticate, or subscribe to the full-text of this article, please visit this link: http://dx.doi.org/10.1007/s10584-016-1886-8 Byline: Vimal Mishra (1), Rohini Kumar (2), Harsh L. Shah (1), Luis Samaniego (2), S. Eisner (3), Tao Yang (4) Abstract: Partitioning of precipitation (P) into actual evapotranspiration (ET) and runoff affects a proxy for water availability (P-ET) on land surface. ET accounts for more than 60% of global precipitation and affects both water and energy cycles. We study the changes in precipitation, air temperature, ET, and P-ET in seven large basins under the RCP 2.6 and 8.5 scenarios for the projected future climate. While a majority of studied basins is projected to experience a warmer and wetter climate, uncertainty in precipitation projections remains large in comparison to the temperature projections. Due to high uncertainty in ET, uncertainties in fraction of precipitation that is evaporated (ET/P) and a proxy for available water (P-ET) are also large under the projected future climate. Our assessment showed that under the RCP 8.5 scenario, global climate models are major contributors to uncertainties in ET (P-ET) simulations in the four (six) basins, while uncertainty due to hydrological models is prevailing or comparable in the other three (one) basins. The simulated ET is projected to increase under the warmer and wetter future climates in all the basins and periods under both RCPs. Regarding P-ET, it is projected to increase in five out of seven basins in the End term (2071--2099) under the RCP 8.5 scenario. Precipitation elasticity and temperature sensitivity estimated for ET were found to be positive in all the basins under the RCP 8.5 scenario. In contrast, the temperature sensitivity estimated for (P-ET) was found to be negative for all the basins under the RCP 8.5 scenario, indicating the role of increased energy availability and limited soil moisture. Our results highlight the need for improvements in climate and hydrological models with better representation of soil, vegetation, and cold season processes to reduce uncertainties in the projected ET and P-ET. Author Affiliation: (1) Civil Engineering, Indian Institute of Technology (IIT) Gandhinagar, Gujarat, India (2) UFZ-Helmholtz Centre for Environmental Research, Leipzig, Germany (3) Center for Environmental Systems Research (CESR), Kassel, Germany (4) State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Center for Global Change and Water Cycle, Hohai University, Nanjing, China Article History: Registration Date: 22/12/2016 Received Date: 25/01/2016 Accepted Date: 21/12/2016 Online Date: 03/01/2017 Article note: This article is part of a Special Issue on "Hydrological Model Intercomparison for Climate Impact Assessment" edited by Valentina Krysanova and Fred Hattermann. Electronic supplementary material The online version of this article (doi: 10.1007/s10584-016-1886-8) contains supplementary material, which is available to authorized users.
Water Cycle – Research ; Watersheds – Research