[1]Chen Yufei,Han Yuguo,Sun Mingdong,et al.Prediction and Analysis of Future Precipitation Changes in the Sichuan Section of the Yangtze River Basin Based on the CMIP6 Climate Model[J].Research of Soil and Water Conservation,2024,31(05):288-294.[doi:10.13869/j.cnki.rswc.2024.05.014]
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Prediction and Analysis of Future Precipitation Changes in the Sichuan Section of the Yangtze River Basin Based on the CMIP6 Climate Model

References:
[1]岳艳琳.气候变化下长江流域未来径流与旱涝变化特征研究[D].上海:华东师范大学,2022.
Yue Y L. The Changes of future runoff and drought and flood in the Yangtze River basin under climate change[D]. Shanghai:East China Normal University, 2022.
[2]张琴,张利平,邓瑶,等.气候模式与水文模拟关键技术研究进展及展望[J].气象科技进展,2021,11(3):126-134.
Zhang Q, Zhang L P, Deng Y, et al. The research progress and prospects of climate model and hydrological simulation key technology[J]. Advances in Meteorological Science and Technology, 2021,11(3):126-134.
[3]吴健,夏军,曾思栋,等. CMIP6全球气候模式对长江流域气候变化的模拟评估与未来预估[J].长江流域资源与环境,2023,32(1):137-150.
Wu J, Xia J, Zeng S D, et al. Evaluation of the performance of CMIP6 models and future changes over the Yangtze River Basin[J]. Resources and Environment in the Yangtze Basin, 2023,32(1):137-150.
[4]向竣文,张利平,邓瑶,等.基于CMIP6的中国主要地区极端气温/降水模拟能力评估及未来情景预估[J].武汉大学学报:工学版,2021,54(1):46-57.
Xiang J W, Zhang L P, Deng Y, et al. Projection and evaluation of extreme temperature and precipitation in major regions of China by CMIP6 models[J]. Engineering Journal of Wuhan University, 2021,54(1):46-57.
[5]吴晶,王宝鉴,杨艳芬,等. CMIP3与CMIP5模式对中国西北干旱区气温和降水的模拟能力比较[J].气候变化研究进展,2017,13(3):198-212.
Wu J, Wang B J, Yang Y F, et al. Comparing simulated temperature and precipitation of CMIP3 and CMIP5 in arid areas of Northwest China[J]. Climate Change Research, 2017,13(3):198-212.
[6]陈晓晨,徐影,许崇海,等. CMIP5全球气候模式对中国地区降水模拟能力的评估[J].气候变化研究进展,2014,10(3):217-225.
Chen X C, Xu Y, Xu C H, et al. Assessment of precipitation simulations in China by CMIP5 multi-models[J]. Progressus Inquisitiones De Mutatione Climatis, 2014,10(3):217-225.
[7]张丽霞,陈晓龙,辛晓歌. CMIP6情景模式比较计划(ScenarioMIP)概况与评述[J].气候变化研究进展,2019,15(5):519-525.
Zhang L X, Chen X L, Xin X G. Short commentary on CMIP6 scenario model intercomparison project(ScenarioMIP)[J]. Climate Change Research, 2019,15(5):519-525.
[8]Iqbal Z, Shahid S, Ahmed K, et al. Evaluation of CMIP6 GCM rainfall in mainland Southeast Asia[J]. Atmospheric Research, 2021,254:105525.
[9]周天军,邹立维,陈晓龙.第六次国际耦合模式比较计划(CMIP6)评述[J].气候变化研究进展,2019,15(5):445-456.
Zhou T J, Zou L W, Chen X L. Commentary on the coupled model intercomparison project phase 6(CMIP6)[J]. Climate Change Research, 2019,15(5):445-456.
[10]刘卫林,熊翰林,刘丽娜,等.基于CMIP5模式和SDSM的赣江流域未来气候变化情景预估[J].水土保持研究,2019,26(2):145-152.
Liu W L, Xiong H L, Liu L N, et al. Estimate of the climate change in Ganjiang River Basin using SDSM method and CMIP5[J]. Research of Soil and Water Conservation, 2019,26(2):145-152.
[11]冯椰林,贺中华,焦树林,等.基于CMIP6气候模式的贵州省极端降水情景预估[J].水土保持研究,2023,30(1):282-290.
Feng Y L, He Z H, Jiao S L, et al. Scenario prediction of extreme precipitation in Guizhou Province based on CMIP6 climate model[J]. Research of Soil and Water Conservation, 2023,30(1):282-290.
[12]赵芳芳,徐宗学.统计降尺度方法和Delta方法建立黄河源区气候情景的比较分析[J].气象学报,2007,65(4):653-662.
Zhao F F, Xu Z X. Comparative analysis on downscaled climate scenarios for headwater catchment of Yellow River using SDS and Delta methods[J]. Acta Meteorologica Sinica, 2007,65(4):653-662.
[13]张素兰,张碧,刘翔,等.四川省生态环境保护与绿色发展研究[J].环境生态学,2021,3(11):43-48.
Zhang S L, Zhang B, Liu X, et al. Study on ecological environment protection and green development in Sichuan Province[J]. Environmental Ecology, 2021,3(11):43-48.
[14]苏鹏程,刘希林,郭洁.四川泥石流灾害与降雨关系的初步探讨[J].自然灾害学报,2006,15(4):19-23.
Su P C, Liu X L, Guo J. Primary analysis of relationship between debris flows and rainfalls in Sichuan Province[J]. Journal of Natural Disasters, 2006,15(4):19-23.
[15]黄金龙,王艳君,苏布达,等. RCP4.5情景下长江上游流域未来气候变化及其对径流的影响[J].气象,2016,42(5):614-620.
Huang J L, Wang Y J, Su B D, et al. Future climate change and its impact on runoff in the upper reaches of the Yangtze River under RCP4.5 scenario[J]. Meteorological Monthly, 2016,42(5):614-620.
[16]易东英.基于CMIP6气候模式的黄河源区径流模拟与分析[D].陕西杨凌:西北农林科技大学,2022.
Yi D Y. Simulation and analysis of runoff in the source region of the Yellow River based on CMIP6 climate model[D]. Yangling, Shaanxi:Northwest A&F University, 2022.
[17]丁光旭,郭家力,汤正阳,等.多种降水再分析数据在长江流域的适用性对比[J].人民长江,2022,53(9):72-79.
Ding G X, Guo J L, Tang Z Y, et al. Evaluation on applicability of various reanalysis datasets of precipitation in Changjiang River Basin[J]. Yangtze River, 2022,53(9):72-79.
[18]程娟娟.高校科研与教学关系实证研究:基于皮尔逊相关系数的分析[J].中国高校科技,2022(10):46-52.
Cheng J J. Empirical Study on the Relationship between Scientific Research and Teaching in Universities:Analysis based on Pearson Correlation coefficient[J]. Science and Technology in Chinese Universities, 2022(10):46-52.
[19]Li B X, Huang Y, Du L J, et al. Bias correction for precipitation simulated by RegCM4 over the upper reaches of the Yangtze River based on the mixed distribution quantile mapping method[J]. Atmosphere, 2021,12(12):1566.
[20]Tong Y, Gao X J, Han Z Y, et al. Bias correction of temperature and precipitation over China for RCM simulations using the QM and QDM methods[J]. Climate Dynamics, 2021,57(5):1425-1443.
[21]雷华锦,马佳培,李弘毅,等.基于分位数映射法的黑河上游气候模式降水误差订正[J].高原气象,2020,39(2):266-279.
Lei H J, Ma J P, Li H Y, et al. Bias correction of climate model precipitation in the upper Heihe River basin based on quantile mapping method[J]. Plateau Meteorology, 2020,39(2):266-279.
[22]肖登攀,赵彦茜,柏会子,等. CMIP5全球气候模式对华北平原气候的模拟和预估[J].地理与地理信息科学,2020,36(2):75-82.
Xiao D P, Zhao Y X, Bai H Z, et al. Simulation and projection of climate change in North China Plain by CMIP5 multi-model[J]. Geography and Geo-Information Science, 2020,36(2):75-82.
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