Linyan Chen, Xuan Ji, Zhangchao Xu, Peng Qin, Chuangjian Yang, Siyi Yan, Cezong Sun, Yangfan Zheng, Yuanping Zhang
{"title":"CMIP5 和 CMIP6 模型对雅鲁藏布江-布拉马普特拉河流域温度和降水模拟的比较","authors":"Linyan Chen, Xuan Ji, Zhangchao Xu, Peng Qin, Chuangjian Yang, Siyi Yan, Cezong Sun, Yangfan Zheng, Yuanping Zhang","doi":"10.2166/wcc.2024.393","DOIUrl":null,"url":null,"abstract":"\n \n This study compares simulations from 13 CMIP5 and CMIP6 homologous models and their multi-model ensemble (MME) for temperature and precipitation over the Yarlung Tsangpo-Brahmaputra River Basin (YBRB). The results showed that (1) the MME estimations are superior to most single models, indicating TCH is effective for reducing model uncertainty. (2) CMIP5 and CMIP6 were more applicable during spring and autumn for maximum and minimum temperatures (Tasmax, Tasmin) and precipitation over the YBRB. Moreover, CMIP5 and CMIP6 showed better performance for precipitation in the downstream floodplain, for Tasmax on the Tibetan Plateau, and for Tasmin in the whole YBRB. (3) CMIP5 and CMIP6 can better simulate the spatial distribution of temperature rather than precipitation (temporal correlation coefficient (TCC) of Tasmax and Tasmin: 0.72–0.89; TCC of precipitation: 0.43–0.6). Both perform poorly in simulating interannual variation in temperature and precipitation (all anomaly correlation coefficients (ACC) <0.60). (4) The bias of CMIP6 for temperature and precipitation is mostly lower than CMIP5, but still has a cold bias over YBRB (Tasmax: −7.98 to −14.88 °C, Tasmin: −6.24 to −21.45 °C) and wet bias on Tibetan Plateau (0.56–2.00 mm), dry bias on Himalayan belt (−0.69 to −7.56 mm), and floodplain (−0.46 to −6.98 mm).","PeriodicalId":49150,"journal":{"name":"Journal of Water and Climate Change","volume":null,"pages":null},"PeriodicalIF":2.7000,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Comparison of CMIP5 and CMIP6 models for temperature and precipitation simulation over the Yarlung Tsangpo-Brahmaputra River Basin\",\"authors\":\"Linyan Chen, Xuan Ji, Zhangchao Xu, Peng Qin, Chuangjian Yang, Siyi Yan, Cezong Sun, Yangfan Zheng, Yuanping Zhang\",\"doi\":\"10.2166/wcc.2024.393\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n \\n This study compares simulations from 13 CMIP5 and CMIP6 homologous models and their multi-model ensemble (MME) for temperature and precipitation over the Yarlung Tsangpo-Brahmaputra River Basin (YBRB). The results showed that (1) the MME estimations are superior to most single models, indicating TCH is effective for reducing model uncertainty. (2) CMIP5 and CMIP6 were more applicable during spring and autumn for maximum and minimum temperatures (Tasmax, Tasmin) and precipitation over the YBRB. Moreover, CMIP5 and CMIP6 showed better performance for precipitation in the downstream floodplain, for Tasmax on the Tibetan Plateau, and for Tasmin in the whole YBRB. (3) CMIP5 and CMIP6 can better simulate the spatial distribution of temperature rather than precipitation (temporal correlation coefficient (TCC) of Tasmax and Tasmin: 0.72–0.89; TCC of precipitation: 0.43–0.6). Both perform poorly in simulating interannual variation in temperature and precipitation (all anomaly correlation coefficients (ACC) <0.60). (4) The bias of CMIP6 for temperature and precipitation is mostly lower than CMIP5, but still has a cold bias over YBRB (Tasmax: −7.98 to −14.88 °C, Tasmin: −6.24 to −21.45 °C) and wet bias on Tibetan Plateau (0.56–2.00 mm), dry bias on Himalayan belt (−0.69 to −7.56 mm), and floodplain (−0.46 to −6.98 mm).\",\"PeriodicalId\":49150,\"journal\":{\"name\":\"Journal of Water and Climate Change\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.7000,\"publicationDate\":\"2024-07-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Water and Climate Change\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://doi.org/10.2166/wcc.2024.393\",\"RegionNum\":4,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"WATER RESOURCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Water and Climate Change","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.2166/wcc.2024.393","RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"WATER RESOURCES","Score":null,"Total":0}
Comparison of CMIP5 and CMIP6 models for temperature and precipitation simulation over the Yarlung Tsangpo-Brahmaputra River Basin
This study compares simulations from 13 CMIP5 and CMIP6 homologous models and their multi-model ensemble (MME) for temperature and precipitation over the Yarlung Tsangpo-Brahmaputra River Basin (YBRB). The results showed that (1) the MME estimations are superior to most single models, indicating TCH is effective for reducing model uncertainty. (2) CMIP5 and CMIP6 were more applicable during spring and autumn for maximum and minimum temperatures (Tasmax, Tasmin) and precipitation over the YBRB. Moreover, CMIP5 and CMIP6 showed better performance for precipitation in the downstream floodplain, for Tasmax on the Tibetan Plateau, and for Tasmin in the whole YBRB. (3) CMIP5 and CMIP6 can better simulate the spatial distribution of temperature rather than precipitation (temporal correlation coefficient (TCC) of Tasmax and Tasmin: 0.72–0.89; TCC of precipitation: 0.43–0.6). Both perform poorly in simulating interannual variation in temperature and precipitation (all anomaly correlation coefficients (ACC) <0.60). (4) The bias of CMIP6 for temperature and precipitation is mostly lower than CMIP5, but still has a cold bias over YBRB (Tasmax: −7.98 to −14.88 °C, Tasmin: −6.24 to −21.45 °C) and wet bias on Tibetan Plateau (0.56–2.00 mm), dry bias on Himalayan belt (−0.69 to −7.56 mm), and floodplain (−0.46 to −6.98 mm).
期刊介绍:
Journal of Water and Climate Change publishes refereed research and practitioner papers on all aspects of water science, technology, management and innovation in response to climate change, with emphasis on reduction of energy usage.