Shanghai Climate Center, Shanghai Meteorological Bureau, Shanghai 200030, China; Shanghai Key Laboratory of Meteorology and Health, Shanghai 200030, China.
Shanghai Key Laboratory of Meteorology and Health, Shanghai 200030, China; Shanghai Institute of Meteorological Science, Shanghai Meteorological Bureau, Shanghai 200030, China.
Environ Res. 2018 Feb;161:381-391. doi: 10.1016/j.envres.2017.11.037. Epub 2017 Nov 29.
Consecutive climatic extremes have more intense impacts on natural ecosystems and human activities than occasional events. There were many studies about the frequency or intensity of extreme weather events, but few focused on the consecutiveness or continuousness of climatic extremes. We analyzed the temporal and spatial distributions and tendencies in the consecutive temperature and precipitation extremes in China during 1961-2015.
Daily temperature and precipitation data at 1867 meteorological stations over China was used and four consecutive indices of climate extremes, i.e. cold spell duration indicator (CSDI), warm spell duration indicator (WSDI), consecutive dry days (CDD) and consecutive wet days (CWD), were calculated by RClimDex 1.0. Linear trends in the time series of consecutive days of temperature and precipitation extremes were examined and their statistical significance was evaluated using Mann-Kendall test.
There were obvious differences in the spatial distributions of consecutive days of climate extremes in China. During 1961-2015, CSDI and CWD decreased significantly at rates of 0.9 and 0.1 days per decade respectively, while WSDI increased significantly at rate of 0.8 days per decade in China. Spatially, CSDI decreased at rates of 0-3.0 days per decade in almost all parts of China, and WSDI increased at rates of 0-2.0 days per decade in most parts of China. The spatial trends of CDD and CWD were significant only in several regions of China. CSDI and WSDI had higher percent changes than those of CDD and CWD. Changes in the CSDI and WSDI were associated with large-scale oceanic and atmospheric circulation oscillations, such as Atlantic Multidecadal Oscillation (AMO), El Niño/Southern Oscillation (ENSO) and Pacific Decadal Oscillation (PDO). With global warming, there will be fewer cold extremes, more frequent hot extremes and precipitation extremes.
Given the increases in the frequency and intensity of some consecutive climatic extremes and an increasing physical exposure and socio-economic vulnerability to such extremes in China, more strategies and capacities of mitigation and adaptation to consecutive climatic extremes are essential for the local government and climate-sensitive sectors.
连续的极端气候事件比偶发事件对自然生态系统和人类活动的影响更为强烈。关于极端天气事件的频率或强度有很多研究,但很少关注气候极端事件的连续性。本研究分析了 1961-2015 年中国连续温度和降水极端事件的时空分布和趋势。
使用中国 1867 个气象站的日温度和降水数据,并通过 RClimDex 1.0 计算了四个连续的气候极端指标,即寒冷持续期指标(CSDI)、温暖持续期指标(WSDI)、连续干燥天数(CDD)和连续湿润天数(CWD)。采用 Mann-Kendall 检验法评估了极端温度和降水连续日数时间序列的线性趋势及其统计显著性。
中国连续日数气候极端的空间分布存在明显差异。1961-2015 年期间,CSDI 和 CWD 分别以 0.9 和 0.1 天/十年的速度显著减少,而 WSDI 以 0.8 天/十年的速度显著增加。在空间上,CSDI 在全国大部分地区以 0-3.0 天/十年的速度减少,而 WSDI 在全国大部分地区以 0-2.0 天/十年的速度增加。CDD 和 CWD 的空间趋势仅在我国部分地区显著。CSDI 和 WSDI 的变化率高于 CDD 和 CWD。CSDI 和 WSDI 的变化与大西洋多年代际振荡(AMO)、厄尔尼诺/南方涛动(ENSO)和太平洋年代际振荡(PDO)等大规模海洋和大气环流振荡有关。随着全球变暖,寒冷极端事件将减少,炎热极端事件和降水极端事件将更为频繁。
鉴于一些连续气候极端事件的频率和强度增加,以及中国对这些极端事件的物理暴露和社会经济脆弱性增加,地方政府和对气候敏感的部门需要制定更多的缓解和适应连续气候极端事件的战略和能力。