Responses of hydrological processes to climate change in the Yarlung Zangbo River basin

References

• Beldring, S., 2002. Multi-criteria validation of a precipitation–runoff model. Journal of Hydrology, 257 (1), 189–211. doi:10.1016/S0022-1694(01)00541-8
   Web of Science ®Google Scholar
• Bowling, L.C., Pomeroy, J.W., and Lettenmaier, D.P., 2004. Parameterization of blowing snow sublimation in a macroscale hydrology model. Journal of Hydrometeorology, 5 (5), 745–762. doi:10.1175/1525-7541(2004)005<0745:POBSIA>2.0.CO;2
   Web of Science ®Google Scholar
• Chen, Y.N., et al., 2006. Regional climate change and its effects on river runoff in the Tarim basin, China. Hydrological Processes, 20, 2207–2216. doi:10.1002/(ISSN)1099-1085
   Web of Science ®Google Scholar
• Cherkauer, K.A. and Lettenmaier, D.P., 1999. Hydrologic effects of frozen soils in the upper Mississippi River basin. Journal of Geophysical Research, 104 (D16), 19599–19610. doi:10.1029/1999JD900337
   Web of Science ®Google Scholar
• Collins, D.N., 2008. Climatic warming, glacier recession and runoff from Alpine basins after the Little Ice Age maximum. Annals of Glaciology, 48 (48), 119–124. doi:10.3189/172756408784700761
   Google Scholar
• Dong, L.X., et al., 2009. The change of land cover and land use and its impact factors in upriver key regions of the Yellow River. International Journal of Remote Sensing, 30 (5), 1251–1265. doi:10.1080/01431160802468248
   Web of Science ®Google Scholar
• Duan, Q., Sorooshian, S., and Gupta, V.K., 1994. Optimal use of the SCE-UA global optimization method for calibrating watershed models. Journal of Hydrology, 158 (3–4), 265–284. doi:10.1016/0022-1694(94)90057-4
   Web of Science ®Google Scholar
• Gao, H., et al., 2011. On the causes of the shrinking of Lake Chad. Environmental Research Letters, 6, 034021. doi:10.1088/1748-9326/6/3/034021
   Web of Science ®Google Scholar
• Gao, X.Y., et al., 2015. Soil salt and groundwater change in flood irrigation field and uncultivated land: a case study based on 4-year field observations. Environmental Earth Sciences, 73 (5), 2127–2139. doi:10.1007/s12665-014-3563-4
   Web of Science ®Google Scholar
• Gouttevin, I., et al., 1994. Multi-scale validation of a new soil freezing scheme for a land-surface model with physically-based hydrology. Cryosphere Discussions, 6 (2), 2197–2252.
   Google Scholar
• Hu, L.J., et al., 2012. Spatial interpolation of meteorological variables in Yarlung Zangbo River basin. Journal of Beijing Normal University (natural Science Edition), 48 (5), 449–452. (in Chinese).
   Google Scholar
• Huang, Y., Li, X., and Wang, H., 2015. Will the western Pacific subtropical high constantly intensify in the future? Climate Dynamics, 47 (1–2), 1–11.
   Web of Science ®Google Scholar
• Immerzeel W.W., et al., 2012. Hydrological responses to climate change in a glacierized catchment in the Himalayas. Climatic Change, 110, 721–736. doi:10.1007/s10584-011-0143-4
   PubMed Web of Science ®Google Scholar
• Jayawickreme, D.H. and Hyndman, D.W., 2007. Evaluating the influence of land cover on seasonal water budgets using Next Generation Radar (NEXRAD) rainfall and streamflow data. Water Resources Research, 43 (2), 604–614. doi:10.1029/2005WR004460
   Web of Science ®Google Scholar
• Kim, H.J., et al., 2011. Global monsoon, El Niño, and their interannual linkage simulated by MIROC5 and the CMIP3 CGCMs. Journal of Climate, 24 (21), 5604–5618. doi:10.1175/2011JCLI4132.1
   Web of Science ®Google Scholar
• Kumar, S., et al., 2013. Land use/cover change impacts in CMIP5 climate simulations: a new methodology and 21st century challenges. Journal of Geophysical Research, 118 (3), 6337–6353.
   Google Scholar
• Li, F., et al., 2012. Changes of land cover in the Yarlung Tsangpo River basin from 1985 to 2005. Environmental Earth Sciences, 68 (1), 181–188. doi:10.1007/s12665-012-1730-z
   Web of Science ®Google Scholar
• Liang, X., 1994. A two-layer variable infiltration capacity land surface representation for general circulation models. Thesis (PhD). University of Washington.
   Google Scholar
• Liu, W.F., et al., 2012. Distributed hydrological simulation in the Lhasa River basin based on VIC model. Journal of Beijing Normal University (natural Science), 48 (5), 524–529. (in Chinese).
   Google Scholar
• Liu, W.F., et al., 2013. GCM performance on simulating climatological factors in Yarlung Zangbo River basin based on a ranked score method. Journal of Beijing Normal University (natural Science), 49 (2/3), 304–311. (in Chinese).
   Google Scholar
• Liu, W.F., et al., 2015. Impacts of climate change on hydrological processes in the Tibetan Plateau: a case study in the Lhasa River basin. Stochastic Environmental Research and Risk Assessment, 29 (7), 1809–1822. doi:10.1007/s00477-015-1066-9
   Web of Science ®Google Scholar
• Liu, Z.F., et al., 2010. Impacts of climate change on hydrological processes in the headwater catchment of the Tarim River basin, China. Hydrological Processes, 24 (2), 196–208.
   Web of Science ®Google Scholar
• Ma, X., Xu, J.C., and Noordwijk, M.V., 2010. Sensitivity of streamflow from a Himalayan catchment to plausible changes in land cover and climate. Hydrological Processes, 24, 1379–1390. doi:10.1002/hyp.v24:11
   Web of Science ®Google Scholar
• Mochizuki, T., et al., 2012. Decadal prediction using a recent series of MIROC global climate models. Journal of the Meteorological Society of Japan, 90A (2), 373–383. doi:10.2151/jmsj.2012-A22
   Google Scholar
• Osborn, H.B. and Lane, L., 1969. Precipitation–runoff relations for very small semiarid rangeland watersheds. Water Resources Research, 5 (2), 419–425. doi:10.1029/WR005i002p00419
   Web of Science ®Google Scholar
• Ouyang, F., et al., 2015. Impacts of climate change under CMIP5 RCP scenarios on streamflow in the Huangnizhuang catchment. Stochastic Environmental Research & Risk Assessment, 29 (7), 1781–1795. doi:10.1007/s00477-014-1018-9
   Web of Science ®Google Scholar
• Pan, F. and King, A.W., 2012. Downscaling 1-km topographic index distributions to a finer resolution for the TOPMODEL-based GCM hydrological modeling. Journal of Hydrologic Engineering, 17 (2), 243–251. doi:10.1061/(ASCE)HE.1943-5584.0000438
   Web of Science ®Google Scholar
• Qu, X., et al., 2015. Equatorward shift of the South Asian high in response to anthropogenic forcing. Theoretical & Applied Climatology, 119 (1–2), 113–122. doi:10.1007/s00704-014-1095-1
   Web of Science ®Google Scholar
• Seibert, J., 1999. Regionalisation of parameters for a conceptual rainfall–runoff model. Agricultural and Forest Meteorology, 98–99, 279–293. doi:10.1016/S0168-1923(99)00105-7
   Web of Science ®Google Scholar
• Shi, P., et al., 2013. Effects of land-use and climate change on hydrological processes in the upstream of Huai River, China. Water Resource Management, 27 (5), 1263–1278. doi:10.1007/s11269-012-0237-4
   Web of Science ®Google Scholar
• Speak, A.F., et al., 2013. Rainwater runoff retention on an aged intensive green roof. Science of the Total Environment, 461-462 (7), 28–38. doi:10.1016/j.scitotenv.2013.04.085
   PubMed Web of Science ®Google Scholar
• Ullrich, A. and Volk, M., 2009. Application of the Soil and Water Assessment Tool (SWAT) to predict the impact of alternative management practices on water quality and quantity. Agricultural Water Management, 96 (8), 1207–1217. doi:10.1016/j.agwat.2009.03.010
   Web of Science ®Google Scholar
• Valdés, J.B., Seoane, R.S., and North, G.R., 2015. A methodology for the evaluation of global warming impact on soil moisture and runoff. Journal of Hydrology, 161 (1–4), 389–413. doi:10.1016/0022-1694(94)90137-6
   Google Scholar
• Wu, Z.Y., et al., 2007. Thirty-five year (1971–2005) simulation of daily soil moisture using the variable infiltration capacity model over China. Atmosphere, 45 (1), 37–45.
   Web of Science ®Google Scholar
• Xuan, W.D. and Xu, Y.P., 2017. Runoff projection under climate change over Yarlung Zangbo River, Southwest China. EGU, 19, 16479.
   Google Scholar
• Xue, B.L., et al., 2013. Modeling the land surface water and energy cycles of a mesoscale watershed in the central Tibetan Plateau during summer with a distributed hydrological model. Journal of Geophysical Research Atmospheres, 118, 8857–8868.
   Web of Science ®Google Scholar
• Yang, Z., Liu, Y., and Li, C., 2011. Interpolation of missing wind data based on ANFIS. Renewable Energy, 36 (3), 993–998. doi:10.1016/j.renene.2010.08.033
   Web of Science ®Google Scholar
• Yu, E.T., et al., 2015. Evaluation of a high-resolution historical simulation over China: climatology and extremes. Climate Dynamics, 45, 2013–2031. doi:10.1007/s00382-014-2452-6
   Web of Science ®Google Scholar
• Zhang, Y., et al., 2018. Characterizing drought in terms of changes in the precipitation–runoff relationship: a case study of the Loess Plateau, China. Hydrology and Earth System Sciences, 22 (3), 1749–1766. doi:10.5194/hess-22-1749-2018
   Web of Science ®Google Scholar
• Zhu, Q.A., et al., 2012. Effects of future climate change, CO2 enrichment, and vegetation structure variation on hydrological processes in China. Global and Planetary Change, 80 (1), 123–135. doi:10.1016/j.gloplacha.2011.10.010
   Google Scholar