Abstract
The utilization of regional climate methods (RCMs) to predict future climate is an important study under the changing environment. The primary objective of the paper is to correct the temperature and precipitation simulations for the period of 1980–2005 and 2026–2098 in the Wei River Basin (WRB), to evaluate the performance of RCMs for the period of 1980–2005, and further, to analyze the future changes of projected temperature and precipitation during 2026–2098. In this paper, the linear scaling method was used to correct the temperature simulations. Quantile mapping, local intensity scaling method, and hybrid method were used to correct the precipitation simulations. The future changes of projected temperature and precipitation for the near term (2026–2050), mid-term (2051–2075), and far term (2076–2098), relative to the period of 1980–2005, were investigated under RCP 2.6 and RCP 8.5. Results indicate that (1) the temperature biases were either warm or cold in the spatial scale, and the precipitation wet biases were detected. After correction, HadGEM2-ES driven by RegCM4-4 had the best temperature reproducibility, and NCC-NorESM1-M driven by RegCM4-4 had the best precipitation reproducibility. (2) Under RCP 2.6, the projected annual, winter, and spring temperature showed decreasing trends. The temperature was higher than that for the period of 1980–2005 except for the spring temperature decreases in the Beiluo River Basin. Under RCP 8.5, the temperature showed significantly increasing trends. The temperature for the near term was similar to that of the period of 1980–2005, while the temperature increased significantly for the mid-term and far term. (3) Under RCP 2.6, the precipitation had decreasing trends. Under RCP 8.5, precipitation trends were also spatially distributed. The relative deviation of winter precipitation was the largest. Relative to the period of 1980–2005, the light- and moderate-rain days showed little change for the period of 2026–2098, while the extreme-rain days showed significantly increasing trends.
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Data availability
The daily temperature and precipitation data were obtained from the China Meteorological Data Sharing Service System at http://cdc.nmic.cn. The RCM data were obtained from https://esg-dn1.nsc.liu.se/projects/cordex/.
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Acknowledgements
The study was partly funded by the National Key Research and Development Program of China (Grant No. 2016YFC0401409), National Natural Science Foundation of China (Grant No. 71774132, 51979221), and Young Technology Star in Shaanxi Province of China (Grant No. 2020KJXX-092). The daily data were obtained from the China Meteorological Data Sharing Service System at http://cdc.nmic.cn. The RCM data were obtained from https://esg-dn1.nsc.liu.se/projects/cordex/. We sincerely appreciate the editor and anonymous reviewers.
Funding
The study was partly funded by the National Key Research and Development Program of China (Grant No. 2016YFC0401409), National Natural Science Foundation of China (Grant No. 71774132, 51979221), and Shaanxi Provincial Education Department (Grant No. 21JT028).
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Yinping Wang and Rengui Jiang conceived and designed the study. Yinping Wang analyzed the data. Jiancang Xie, Jiwei Zhu, Yong Zhao, Xixi Lu, and Fawen Li provided critical insights on the results and conclusions. Yinping Wang drafted the manuscript, with a substantial contribution from all authors.
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Wang, Y., Jiang, R., Xie, J. et al. Bias correction, historical evaluations, and future projections of climate simulations in the Wei River Basin using CORDEX-EA. Theor Appl Climatol 150, 135–153 (2022). https://doi.org/10.1007/s00704-022-04157-7
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DOI: https://doi.org/10.1007/s00704-022-04157-7