This study investigated the change in precipitation concentration due to global warming based on the output of one experiment (a scenario of 1% CO₂ increase per year) from 12 general circulation models provided by the Coupled Model Intercomparison Project Phase 5 (CMIP5). Two different indices were used to describe precipitation concentration: (a) concentration index (CI), which measures the evenness of total precipitation on wet days, and (b) precipitation concentration degree (PCD), which measures the evenness of the annual precipitation distributions over time. We found that widespread increases in CI were distributed over all land areas except for some arid areas, indicating a less uniform distribution of precipitation on wet days in a warming climate caused by CO₂ increasing. We also found that the spatial patterns of changes in PCD are complex, with large regional differences. All of the results suggest a global‐scale readjustment of precipitation distribution in magnitude and timing. This kind of readjustment may have significant impacts on climatic and hydrological events and thus cause severe ecological and environmental damage.

中文翻译：

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全球降水浓度对全球变暖的非均质响应

这项研究基于耦合模型比较项目第5阶段（CMIP5）提供的12个普通循环模型的一项实验（每年增加1％CO ₂的情景）的输出，调查了由于全球变暖导致的降水浓度变化。两种不同的指标用于描述降水浓度：（a）浓度指数（CI），用于测量湿天总降水量的均匀性；（b）降水浓度度（PCD），用于测量年降水量分布的均匀性随着时间的推移。我们发现，CI的广泛增加分布在除某些干旱地区以外的所有陆地区域，这表明在由CO ₂引起的气候变暖的潮湿天，降水分布不均增加。我们还发现PCD变化的空间模式很复杂，区域差异很大。所有结果都表明，全球范围内降水分布的大小和时间都在进行调整。这种调整可能会对气候和水文事件产生重大影响，从而造成严重的生态和环境破坏。