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Overlooked Trends in Observed Global Annual Precipitation Reveal Underestimated Risks

机译:在观测到的全球年度降水中被忽视的趋势揭示了被低估的风险

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摘要

Numerous human and environmental systems are sensitive to the spatial and temporal distribution of precipitation, including agriculture, water supply, and ecosystems. Trends in observed precipitation form an important line of evidence to understand how changes may increase system vulnerabilities. Linear trends reported in US and global climate assessments reflect changes in mean annual precipitation. Mean trends may not reflect changes across other quantiles in the precipitation probability distribution, including the tails (very high and low precipitation levels), leading to systematic mischaracterization of climate risk. Here we reanalyze global annual precipitation using quantile regression to reveal overlooked trends. We find trends in the tails inconsistent with the mean in 44.4% of land area and 40.7% of rainfed agricultural regions. Previously undetected trends offer a more accurate view of the changing climate. This work enables reappraisals of risk aggregated over thresholds in human and environmental systems, enabling revaluation of threats and identification of appropriate adaptation strategies.
机译:许多人类和环境系统都对降水的时空分布敏感,包括农业,供水和生态系统。观测到的降水趋势形成了一条重要的证据线,以了解变化如何增加系统的脆弱性。美国和全球气候评估报告的线性趋势反映了年平均降水量的变化。平均趋势可能无法反映降水概率分布中其他分位数的变化,包括尾巴(非常高和很低的降水水平),从而导致气候风险的系统错误描述。在这里,我们使用分位数回归来重新分析全球年降水量,以揭示被忽略的趋势。我们发现尾巴趋势与陆地面积的44.4%和雨养农业地区的40.7%的平均值不一致。以前未发现的趋势可以更准确地了解不断变化的气候。这项工作可以重新评估人类和环境系统中超过阈值的风险,从而可以重新评估威胁并确定适当的适应策略。

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