从土壤水分角度预测中国各地的干湿急剧交替现象

IF 8.5 1区 地球科学 Q1 METEOROLOGY & ATMOSPHERIC SCIENCES npj Climate and Atmospheric Science Pub Date : 2024-11-02 DOI:10.1038/s41612-024-00808-w
Jianxiu Qiu, Chenxi He, Xiaoping Liu, Lun Gao, Chao Tan, Xinghan Wang, Dongdong Kong, Jean-Pierre Wigneron, Deliang Chen, Jun Xia
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引用次数: 0

摘要

在气候变暖的情况下,干湿突然交替(DWAA)风险的增加对可持续发展构成了巨大挑战。在此,我们提出了一种基于土壤水分浓度指数的新型干湿突变检测框架。到本世纪末,在中国南方潮湿地区,土壤水分时间序列从异常湿润模式向异常干旱模式或相反方向的转变将更加突然。此外,根据耦合模式相互比较项目第 6 阶段模拟结果提出的框架预测,在中国西南部、东南沿海地区和长江下游,受 DWAA 影响的地区将更加广泛,尤其是在高排放情景下。本研究提出的框架为 DWAA 的检测和预测提供了一个高效的系统,其研究结果为水利基础设施的升级和缓解未来的 DWAA 事件提供了参考。
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Projecting dry-wet abrupt alternation across China from the perspective of soil moisture
Under a warmer climate, the enhancement of dry-wet abrupt alternation (DWAA) risk poses a great challenge for sustainable development. Here, we introduce a novel framework for DWAA detection based on our proposed soil moisture concentration index. By the end of this century, over humid southern China, the shift of soil moisture time series from anomalously wet to anomalously dry pattern, or the other way around, will be more abrupt. In addition, the proposed framework driven by Coupled Model Intercomparison Project Phase 6 simulations projects more widespread DWAA-affected areas over southwestern China, coastal regions of southeastern China, and the lower reaches of the Yangtze River, especially under a high emission scenario. The framework proposed in this study provides an efficient system for DWAA detection and prediction, and the findings of this study provide a reference for upgrading hydraulic infrastructure and mitigating future DWAA events.
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来源期刊
npj Climate and Atmospheric Science
npj Climate and Atmospheric Science Earth and Planetary Sciences-Atmospheric Science
CiteScore
8.80
自引率
3.30%
发文量
87
审稿时长
21 weeks
期刊介绍: npj Climate and Atmospheric Science is an open-access journal encompassing the relevant physical, chemical, and biological aspects of atmospheric and climate science. The journal places particular emphasis on regional studies that unveil new insights into specific localities, including examinations of local atmospheric composition, such as aerosols. The range of topics covered by the journal includes climate dynamics, climate variability, weather and climate prediction, climate change, ocean dynamics, weather extremes, air pollution, atmospheric chemistry (including aerosols), the hydrological cycle, and atmosphere–ocean and atmosphere–land interactions. The journal welcomes studies employing a diverse array of methods, including numerical and statistical modeling, the development and application of in situ observational techniques, remote sensing, and the development or evaluation of new reanalyses.
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