Historical and projected climate change over three major river basins in China from CMIP5 and CMIP6 models

Author(s):  
Xian Zhu ◽  
Zhenming Ji ◽  
Xiaohang Wen ◽  
Shao‐Yi Lee ◽  
Zhigang Wei ◽  
...  
2021 ◽  
Vol 169 (3-4) ◽  
Author(s):  
Babatunde J. Abiodun ◽  
Romaric C. Odoulami ◽  
Windmanagda Sawadogo ◽  
Olumuyiwa A. Oloniyo ◽  
Abayomi A. Abatan ◽  
...  

AbstractMost socio-economic activities in Africa depend on the continent’s river basins, but effectively managing drought risks over the basins in response to climate change remains a big challenge. While studies have shown that the stratospheric aerosol injection (SAI) intervention could mitigate temperature-related climate change impacts over Africa, there is a dearth of information on how the SAI intervention could influence drought characteristics and drought risk managements over the river basins. The present study thus examines the potential impacts of climate change and the SAI intervention on droughts and drought management over the major river basins in Africa. Multi-ensemble climate simulation datasets from the Stratospheric Aerosol Geoengineering Large Ensemble (GLENS) Project were analysed for the study. The Standardized Precipitation Evapotranspiration Index (SPEI) and the Standardized Precipitation Index (SPI) were used to characterize the upper and lower limits of future drought severity, respectively, over the basins. The SPEI is a function of rainfall and potential evapotranspiration, whereas the SPI is only a function of rainfall, so the difference between the two indices is influenced by atmospheric evaporative demand. The results of the study show that, while the SAI intervention, as simulated in GLENS, may offset the impacts of climate change on temperature and atmospheric evaporative demand, the level of SAI that compensates for temperature change would overcompensate for the impacts on precipitation and therefore impose a climate water balance deficit in the tropics. SAI would narrow the gaps between SPEI and SPI projections over the basins by reducing SPEI drought frequency through reduced temperature and atmospheric evaporative demand while increasing SPI drought frequency through reduced rainfall. The narrowing of this gap lowers the level of uncertainty regarding future changes in drought frequency, but nonetheless has implications for future drought management in the basins, because while SAI lowers the upper limit of the future drought stress, it also raises the lower limit of the drought stress.


2016 ◽  
Vol 141 (3) ◽  
pp. 483-498 ◽  
Author(s):  
Xiaoyan Wang ◽  
Tao Yang ◽  
Michel Wortmann ◽  
Pengfei Shi ◽  
Fred Hattermann ◽  
...  

2020 ◽  
Vol 163 (3) ◽  
pp. 1287-1306 ◽  
Author(s):  
Yeshewatesfa Hundecha ◽  
Berit Arheimer ◽  
Peter Berg ◽  
René Capell ◽  
Jude Musuuza ◽  
...  

AbstractThe effect of model calibration on the projection of climate change impact on hydrological indicators was assessed by employing variants of a pan-European hydrological model driven by forcing data from an ensemble of climate models. The hydrological model was calibrated using three approaches: calibration at the outlets of major river basins, regionalization through calibration of smaller scale catchments with unique catchment characteristics, and building a model ensemble by sampling model parameters from the regionalized model. The large-scale patterns of the change signals projected by all model variants were found to be similar for the different indicators. Catchment scale differences were observed between the projections of the model calibrated for the major river basins and the other two model variants. The distributions of the median change signals projected by the ensemble model were found to be similar to the distributions of the change signals projected by the regionalized model for all hydrological indicators. The study highlights that the spatial detail to which model calibration is performed can highly influence the catchment scale detail in the projection of climate change impact on hydrological indicators, with an absolute difference in the projections of the locally calibrated model and the model calibrated for the major river basins ranging between 0 and 55% for mean annual discharge, while it has little effect on the large-scale pattern of the projection.


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