FLO1K, global maps of mean, maximum and minimum annual streamflow at 1 km resolution from 1960 through 2015
FLO1K, global maps of mean, maximum and minimum annual streamflow at 1 km resolution from 1960 through 2015
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DOI：
10.1038/sdata.2018.52
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发表时间：
2018-03-27
期刊：
影响因子：
9.8
通讯作者：
Schipper, Aafke M.
中科院分区：
文献类型：
--
作者：
Barbarossa, Valerio;Huijbregts, Mark A. J.;Schipper, Aafke M.
径流数据与各种社会经济和生态分析或应用高度相关，但目前还缺乏高分辨率的全球径流数据集。我们创建了FLO1K，这是一个一致的径流数据集，分辨率为30角秒(-1公里)，覆盖全球。FLO1K由1960-2015年期间每年的平均、最大和最小年径流组成，以空间连续的网格层形式提供。利用人工神经网络(ANN)回归方法对径流进行了映射。根据全世界6600个监测站的月度径流观测数据拟合了神经网络集合，即最小和最大年径流代表特定年份的最低和最高月平均径流。作为协变量，我们使用了上游流域地形(面积、地表坡度、海拔)和特定年份的气候变量(降水、温度、潜在蒸散量、干旱指数和季节性指数)。将地图与独立数据进行比对，符合程度较好(R-2值高达91%)。FLO1K为全球范围的淡水生态和水资源分析提供了必要的数据，但空间分辨率也很高。
Streamflow data is highly relevant for a variety of socio-economic as well as ecological analyses or applications, but a high-resolution global streamflow dataset is yet lacking. We created FLO1K, a consistent streamflow dataset at a resolution of 30 arc seconds (-1 km) and global coverage. FLO1K comprises mean, maximum and minimum annual flow for each year in the period 1960-2015, provided as spatially continuous gridded layers. We mapped streamflow by means of artificial neural networks (ANNs) regression. An ensemble of ANNs were fitted on monthly streamflow observations from 6600 monitoring stations worldwide, i.e., minimum and maximum annual flows represent the lowest and highest mean monthly flows for a given year. As covariates we used the upstream-catchment physiography (area, surface slope, elevation) and year-specific climatic variables (precipitation, temperature, potential evapotranspiration, aridity index and seasonality indices). Confronting the maps with independent data indicated good agreement (R-2 values up to 91%). FLO1K delivers essential data for freshwater ecology and water resources analyses at a global scale and yet high spatial resolution.[GRAPHICS].