Potsdam Institute for Climate Impact Research, Potsdam, Germany.
Institute for Environmental Decisions, ETH Zurich, Zurich, Switzerland.
Nat Commun. 2021 Apr 9;12(1):2128. doi: 10.1038/s41467-021-22153-9.
Climate change affects precipitation patterns. Here, we investigate whether its signals are already detectable in reported river flood damages. We develop an empirical model to reconstruct observed damages and quantify the contributions of climate and socio-economic drivers to observed trends. We show that, on the level of nine world regions, trends in damages are dominated by increasing exposure and modulated by changes in vulnerability, while climate-induced trends are comparably small and mostly statistically insignificant, with the exception of South & Sub-Saharan Africa and Eastern Asia. However, when disaggregating the world regions into subregions based on river-basins with homogenous historical discharge trends, climate contributions to damages become statistically significant globally, in Asia and Latin America. In most regions, we find monotonous climate-induced damage trends but more years of observations would be needed to distinguish between the impacts of anthropogenic climate forcing and multidecadal oscillations.
气候变化影响降水模式。在这里,我们研究其信号是否已经可以在报告的河流洪水灾害中检测到。我们开发了一个经验模型来重建观测到的灾害,并量化气候和社会经济驱动因素对观测到的趋势的贡献。我们表明,在九个世界区域的水平上,灾害趋势主要受不断增加的暴露度影响,并受脆弱性变化调节,而气候引起的趋势则相对较小,且大多数在统计上不显著,南撒哈拉和东亚地区除外。然而,当根据具有相似历史流量趋势的河流流域将世界区域细分为子区域时,气候对灾害的贡献在全球、亚洲和拉丁美洲具有统计学意义。在大多数地区,我们发现气候引起的灾害趋势单调,但需要更多的观测年来区分人为气候强迫和多年代际震荡的影响。