%0 Dataset
%T Amazon and Yukon Basin Water Flow Path Dataset Based on Discrete Global Grid System
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/73e82476-3d7d-4640-b435-13ad0be592c2
%W NCDC
%R 10.5281/zenodo.10846223
%A None
%K Amazon River;DGG;DGGRID;watershed
%X Discrete Global Grid System (DGG) is an emerging spatial data structure widely used to organize cross scale geographic spatial datasets. Although the discrete global grid system has been applied in multiple scientific disciplines such as atmospheric science and ecology, the integration of it into physics based hydrological models and Earth System Models (ESM) has been hindered due to the lack of a water flow path dataset based on the discrete global grid system. In response to this gap, this study first developed a new flow direction dataset using icosahedral Snyder equal area (ISEA) DGG and a novel grid independent flow direction model. We present water flow path datasets from two large watersheds, the tropical Amazon River Basin and the Arctic Yukon River Basin. These datasets demonstrate the potential of DGGs based water flow path datasets in improving hydrological model performance and provide observational water flow path inputs that can be immediately applied to the Amazon and Yukon river basins.