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中国气候风险评估与早期预警框架

王玉洁 韩振宇 宋连春 袁林旺 张百超 李龙辉 戴强 陈克垚

大气科学学报2026,Vol.49Issue(1):121-134,14.
大气科学学报2026,Vol.49Issue(1):121-134,14.DOI:10.13878/j.cnki.dqkxxb.20251118003

中国气候风险评估与早期预警框架

Framework of climate risk assessment and early warning in China

王玉洁 1韩振宇 2宋连春 3袁林旺 3张百超 4李龙辉 3戴强 4陈克垚4

作者信息

  • 1. 南京信息工程大学气候系统预测与变化应对全国重点实验室/气象灾害教育部重点实验室/气象灾害预报预警与评估协同创新中心,江苏 南京 210044
  • 2. 南京信息工程大学大气科学学院,江苏 南京 210044
  • 3. 国家气候中心气候系统预测与变化应对全国重点实验室/中国气象局气候预测研究重点开放实验室/中国气象局气象与医疗健康重点开放实验室,北京 100081
  • 4. 南京师范大学气候系统预测与变化应对全国重点实验室,江苏 南京 210046
  • 折叠

摘要

Abstract

Global warming,intensifies by extreme events such as floods,droughts,and heatwaves,has led to a rising incidence of climate-related risks,posing severe challenges to sustainable socio-economic development.Un-der the ongoing influence of climate change,China faces increasingly pronounced climate risks.From 1984 to 2024,meteorological disasters caused an average annual direct economic loss of 320.6 billion yuan,resulted in 3 311 deaths,and affected 37.27 million hectares of crops each year.Between 2001 and 2024,climate extremes impacted approximately 280 million people annually.Understanding climate risks and issuing timely early warnings are therefore both a scientific frontier and a practical necessity for enhancing climate resilience. Drawing on the updated"hazard-exposure-vulnerability-response"risk assessment framework presented in the IPCC Sixth Assessment Report(AR6),this study evaluates changes in six major climate-related hazards—rainstorms and floods,droughts,typhoon,high temperature,hailstorm,and low temperatures—in China from 1961 to 2024.Provinicial-level sensitivity to climate extremes is examined,and a methodological framework for China's climate risk early warning system is proposed.Using the early warning of heat-related health risks during the sum-mer of 2022 as a case study,we demonstrate the operational reliability of the system at the National Climate Cen-tre. The proposed framework emphasizes interactions among risk drivers and integratesin both the potential im-pacts of climate variability and change and the measures required to address them.By linking the physical and so-cio-economic determinants of risk,it supports more informed decisonon-making aimed at reducing the adverse im-pacts of climate change.Results indicate that accurate climate prediction,downscaling techniques,and climate im-pact assessment constitute core components of the climate risk early warning system.Early warning serves as a key pillar in establishing a modern climate service system centered on impact-based forecasting,risk-oriented alerts,and resilience-focused adaptation. The analysis further reveals that climate-related hazards in China have intensified over the recent decades,contributing to rising economic losses.Sensitivity to climate extremes exhibits distinct regional patterns:higher sensitivity is observed in the upper and middle reaches of the Yangtze River basin—including Sichuan,Hunan,Hubei,and Yunnan—while regions such Xinjiang,Hainan,Qinghai,Ningxia,Xizang,Shanghai,and Tianjin show relatively low sensitivity. Several limitations remain.First,the quantitative representation of exposure and sensitivity at the county level requires further refinement to build a high-resolution climate risk assessment system.Second,the causal factors and relative weightings of different types of extreme events at finer spatial scales require deeper investigation—for ex-ample,heavy precipitation events should also account for hourly extremes in addition to daily totals.Third,the use of maximum-value normalization to construct the sensitivity index may be influenced by extreme disaster loss val-ues,introducing bias to the assessment.The assumption of equal weighting across disaster types also warrants fur-ther scrutiny. Looking ahead,the State Key Laboratory of Climate System Prediction and Risk Management(CPRM)will continue to advance methodologies for assessing climate impacts and risks in China and will work to develop a usable,reliable,and trustworthy climate risk early warning system to support national strategies on disaster pre-vention,mitigation,and climate change adaptation.

关键词

气候风险/评估/早期预警/框架/中国

Key words

climate risk/assessment/early warning/framework/China

引用本文复制引用

王玉洁,韩振宇,宋连春,袁林旺,张百超,李龙辉,戴强,陈克垚..中国气候风险评估与早期预警框架[J].大气科学学报,2026,49(1):121-134,14.

基金项目

国家重点研发计划项目(2018YFA0606302) (2018YFA0606302)

大气科学学报

1674-7097

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