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":2,"journal":{"name":"ACS Applied Bio Materials","volume":" 21","pages":""},"PeriodicalIF":4.6000,"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\":2,\"journal\":{\"name\":\"ACS Applied Bio Materials\",\"volume\":\" 21\",\"pages\":\"\"},\"PeriodicalIF\":4.6000,\"publicationDate\":\"2024-07-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACS Applied Bio Materials\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://doi.org/10.2166/wcc.2024.393\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MATERIALS SCIENCE, BIOMATERIALS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Bio Materials","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.2166/wcc.2024.393","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, BIOMATERIALS","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:
ACS Applied Bio Materials is an interdisciplinary journal publishing original research covering all aspects of biomaterials and biointerfaces including and beyond the traditional biosensing, biomedical and therapeutic applications.
The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrates knowledge in the areas of materials, engineering, physics, bioscience, and chemistry into important bio applications. The journal is specifically interested in work that addresses the relationship between structure and function and assesses the stability and degradation of materials under relevant environmental and biological conditions.