Institute for Atmospheric and Climate Science, Department of Environmental Systems Science, ETH Zurich, Zürich, Switzerland.
National Institute for Environmental Studies (NIES), Tsukuba, Japan.
Science. 2021 Mar 12;371(6534):1159-1162. doi: 10.1126/science.aba3996.
Anthropogenic climate change is expected to affect global river flow. Here, we analyze time series of low, mean, and high river flows from 7250 observatories around the world covering the years 1971 to 2010. We identify spatially complex trend patterns, where some regions are drying and others are wetting consistently across low, mean, and high flows. Trends computed from state-of-the-art model simulations are consistent with the observations only if radiative forcing that accounts for anthropogenic climate change is considered. Simulated effects of water and land management do not suffice to reproduce the observed trend pattern. Thus, the analysis provides clear evidence for the role of externally forced climate change as a causal driver of recent trends in mean and extreme river flow at the global scale.
人为气候变化预计将影响全球河流流量。在这里,我们分析了来自全球 7250 个观测站的 1971 年至 2010 年的低、中、高河流水位时间序列。我们发现了空间复杂的趋势模式,一些地区在低、中、高流量下持续干涸,而另一些地区则持续湿润。只有考虑到包括人为气候变化在内的辐射强迫,才能使基于最先进模型模拟得出的趋势与观测结果一致。水和土地管理的模拟效应不足以再现观测到的趋势模式。因此,该分析为外部强迫气候变化作为全球范围内平均和极端河流水位近期趋势的因果驱动因素提供了明确的证据。