Ince E Sinem, Abrykosov Oleh, Förste Christoph
Helmholtz-Centre GFZ German Research Centre for Geosciences, Global Geomonitoring and Gravity Field, Potsdam, Germany.
Helmholtz-Centre GFZ German Research Centre for Geosciences, Global Geomonitoring and Gravity Field, Oberpfaffenhofen, Germany.
Sci Data. 2024 Oct 4;11(1):1087. doi: 10.1038/s41597-024-03920-x.
Various research topics in geosciences such as gravity modelling, terrain correction and ocean circulation, require high resolution and accuracy global elevations for land topography, bathymetry, and ice thickness that refer to a consistent vertical datum. Unfortunately, most of the existing DEMs do not provide such solutions for Earth relief layers with the same resolution globally. To overcome this deficiency, we merged various DEMs published in the recent years and compiled an up-to-date global solution. We provide 30 arcsecond grid suite for relief layers and land-type masks which have been substantially improved w.r.t. the grids in literature. The quality of the merged surface elevation is assessed against the GNSS heights at about globally distributed 22000 stations. The merged surface model shows a reduction in standard deviation of a factor of three compared to other commonly used DEMs. Other evaluations are performed over land-ice and oceans which supports the advancement of GDEMM2024. The improvements are due to the accuracy and coverage of the original input data, updated land-type masks and merging methodology.
地球科学中的各种研究主题，如重力建模、地形校正和海洋环流，需要针对陆地地形、测深和冰厚度的高分辨率和高精度全球高程数据，且这些数据需基于一致的垂直基准。不幸的是，大多数现有的数字高程模型（DEM）并未为全球范围内具有相同分辨率的地球地形层提供此类解决方案。为克服这一不足，我们合并了近年来发布的各种DEM，并编制了一个最新的全球解决方案。我们提供了30弧秒网格套件用于地形层和土地类型掩码，相对于文献中的网格有了显著改进。通过约全球分布的22000个站点的全球导航卫星系统（GNSS）高度来评估合并后的地表高程质量。与其他常用的DEM相比，合并后的地表模型显示标准差降低了三分之一。还在陆地冰和海洋上进行了其他评估，这支持了GDEMM2024的进展。这些改进得益于原始输入数据的准确性和覆盖范围、更新的土地类型掩码以及合并方法。
