Gridded glacier datasets are essential for various glaciological and climatological research because they link glacier cover with the corresponding gridded meteorological variables. However, there are significant differences between the gridded data and the shapefile data in the total area calculations in the Randolph Glacier Inventory (RGI) 6.0 at global and regional scales. Here, we present a new global gridded glacier dataset based on the RGI 6.0 that eliminates the differences. The dataset is made by dividing the glacier polygons using cell boundaries and then recalculating the area of each polygon in the cell. Our dataset (1) exhibits a good agreement with the RGI area values for those regions in which gridded areas showed a generally good consistency with those in the shapefile data, and (2) reduces the errors existing in the current RGI gridded dataset. All data and code used in this study are freely available and we provide two examples to demonstrate the application of this new gridded dataset.

中文翻译：

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基于 Randolph Glacier Inventory 6.0 版的新全球网格冰川数据集

网格冰川数据集对于各种冰川学和气候学研究至关重要，因为它们将冰川覆盖与相应的网格气象变量联系起来。但是，Randolph Glacier Inventory (RGI) 6.0 在全球和区域尺度上的总面积计算中的网格数据和 shapefile 数据之间存在显着差异。在这里，我们提出了一个基于 RGI 6.0 的新的全球网格冰川数据集，它消除了差异。数据集是通过使用单元边界划分冰川多边形，然后重新计算单元中每个多边形的面积来制作的。我们的数据集 (1) 与网格区域与 shapefile 数据中的那些区域的 RGI 区域值具有良好的一致性，(2) 减少当前 RGI 网格数据集中存在的误差。本研究中使用的所有数据和代码都是免费提供的，我们提供了两个示例来演示这个新的网格数据集的应用。