Department of Environmental Science, Radboud University, Heyendaalseweg 135, 6525, AJNijmegen, The Netherlands.
Department of Physical Geography, Utrecht University, Princetonlaan 8a, 3584 CB, Utrecht, The Netherlands.
Sci Data. 2022 Jun 15;9(1):307. doi: 10.1038/s41597-022-01410-6.
There is growing evidence that climate change impacts ecosystems and socio-economic activities in freshwater environments. Consistent global data of projected streamflow and water temperature are key to global impact assessments, but such a dataset is currently lacking. Here we present FutureStreams, the first global dataset of projected future streamflow and water temperature for multiple climate scenarios (up to 2099) gridded at a 5 arcminute spatial resolution (~10 km at the equator), including recent past data (1976-2005) for comparison. We generated the data using global hydrological and water temperature models (PCR-GLOBWB, DynWat) forced with climate data from five general circulation models. We included four representative concentration pathways to cover multiple future greenhouse gas emission trajectories and associated changes in climate. Our dataset includes weekly streamflow and water temperature for each year as well as a set of derived indicators that are particularly relevant from an ecological perspective. FutureStreams provides a crucial starting point for large-scale assessments of the implications of changes in streamflow and water temperature for society and freshwater ecosystems.
越来越多的证据表明,气候变化会对淡水环境中的生态系统和社会经济活动产生影响。一致的全球预测径流量和水温数据是进行全球影响评估的关键,但目前缺乏这样的数据。在这里,我们介绍了 FutureStreams,这是第一个针对多个气候情景(直至 2099 年)的预测未来径流量和水温的全球数据集,以 5 弧分的空间分辨率(在赤道处约为 10 公里)进行网格化,包括最近过去的数据(1976-2005 年)用于比较。我们使用全球水文和水温模型(PCR-GLOBWB、DynWat)生成数据,这些模型由来自五个通用环流模型的气候数据驱动。我们包括了四个代表性浓度途径,以涵盖多种未来温室气体排放轨迹和相关的气候变化。我们的数据集包括每年的每周径流量和水温,以及一组从生态角度来看特别相关的派生指标。FutureStreams 为大规模评估径流量和水温变化对社会和淡水生态系统的影响提供了一个重要的起点。