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基于N-CMIP6的长江流域气温和降水未来预估

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为探究具有更高可信度的长江流域未来气温和降水的时空变化特征,基于1961~2020 年中国格点化逐日气象观测数据,采用2022 年最新发布的NASA高分辨率降尺度数据集(N-CMIP6)中的35 个气候模式对长江流域气温和降水模拟能力进行了评估,进而预估了不同共享社会经济路径(SSPs)情景下(SSP1-2.6、SSP2-4.5、SSP3-7.0 和SSP5-8.5)长江流域在21 世纪近期(2021~2040 年)、中期(2041~2060 年)和末期(2081~2100 年)气温和降水的时空演变特征.结果表明:2021~2100 年,长江流域年均气温和降水均呈现显著上升趋势,尤其是上游地区增温最为明显;到21 世纪末期(2081~2100 年),相较于基准期(1995~2014年),长江流域平均气温预计将升高1.61~5.18℃,平均降水量将增加7.6%~12.8%;秋季温度升高最为显著,其次是夏季,冬季降水增幅最大,秋季次之.研究成果有助于深化对区域气候变化的科学理解,为政府决策提供科学依据,以有效应对和适应气候变化带来的挑战,进而促进可持续发展.
Future projection on temperature and precipitation in Changjiang River Basin based on N-CMIP6
To explore the temporal and spatial characteristics of future temperature and precipitation changes in the Changjiang River Basin with higher reliability,based on the grid meteorological observation data of China from 1961 to 2020,we use 35 cli-mate models from the latest high-resolution downscaled dataset(N-CMIP6)released by NASA in 2022 to evaluate the temper-ature and precipitation simulation capability over the Changjiang River Basin.Future projections are made for temperature and precipitation changes over the Changjiang River Basin under three shared socioeconomic pathways(SSPs)scenarios(SSP1-2.6,SSP2-4.5,SSP3-7.0,and SSP5-8.5)in the 21st century,the near term(2021~2040),mid-term(2041~2060),and late-term(2081~2100).The results show that in the 21st century,the average temperature and precipitation in the Changjiang River Basin will show a significant upward trend,especially in the upper reaches.By the end of the 21st century(2081~2100),compared with the baseline period(1995~2014),the average temperature in the Changjiang River Basin is projected to rise by 1.61~5.18℃,with average precipitation increasing by 7.6%~12.8%.The temperature increase in autumn is the most signifi-cant,followed by summer,and the precipitation increase in winter is the largest,followed by autumn.This study can deepen the scientific understanding of the regional climate change in the Changjiang River Basin and provide a basis for decision-making to respond to climate change and promote sustainable development.

temperatureprecipitationN-CMIP6SSPsChangjiang River Basin

温姗姗、王智晨、翟建青、蒋富霜、周彪

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安徽师范大学地理与旅游学院,安徽 芜湖 241002

江淮流域地表过程与区域响应安徽省重点实验室,安徽芜湖 241002

中国气象局国家气候中心,北京 100081

气温 降水 N-CMIP6 SSPs 长江流域

国家自然科学基金青年基金项目国家自然科学基金面上基金项目安徽师范大学大学生创新创业训练计划项目

4200512642071024202410370004

2024

人民长江
水利部长江水利委员会

人民长江

CSTPCD北大核心
影响因子:0.451
ISSN:1001-4179
年,卷(期):2024.55(8)