Articles | Volume 14, issue 9
Data description paper
01 Sep 2022
Data description paper |  | 01 Sep 2022

A new global dataset of mountain glacier centerlines and lengths

Dahong Zhang, Gang Zhou, Wen Li, Shiqiang Zhang, Xiaojun Yao, and Shimei Wei

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Cited articles

Abrams, M., Crippen, R., and Fujisada, H.: ASTER Global Digital Elevation Model (GDEM) and ASTER Global Water Body Dataset (ASTWBD), Remote Sensing, 12, 1156,, 2020. 
Aciego, S. M., Stevenson, E. I., and Arendt, C. A.: Climate versus geological controls on glacial meltwater micronutrient production in southern Greenland, Earth Planet. Sc. Lett., 424, 51–58,, 2015. 
Carabajal, C. C. and Boy, J. P.: Evaluation of Aster Gdem V3 Using Icesat Laser Altimetry, Int. Arch. Photogramm., XLI-B4, 117–124,, 2016. 
Carrera-Hernández, J. J.: Not all DEMs are equal: An evaluation of six globally available 30 m resolution DEMs with geodetic benchmarks and LiDAR in Mexico, Remote Sens. Environ., 261, 112474,, 2021. 
Fan, Y., Ke, C.-Q., and Shen, X.: A new Greenland digital elevation model derived from ICESat-2 during 2018–2019, Earth Syst. Sci. Data, 14, 781–794,, 2022. 
Short summary
The length of a glacier is a key determinant of its geometry; glacier centerlines are crucial inputs for many glaciological applications. Based on the European allocation theory, we present a new global dataset that includes the centerlines and lengths of 198 137 mountain glaciers. The accuracy of the glacier centerlines was 89.68 %. The constructed dataset comprises 17 sub-datasets which contain the centerlines and lengths of glacier tributaries.