Preprints
https://doi.org/10.5194/essd-2022-141
https://doi.org/10.5194/essd-2022-141
 
12 May 2022
12 May 2022
Status: this preprint is currently under review for the journal ESSD.

A new global dataset of mountain glacier centerline and length

Dahong Zhang1,2, Gang Zhou1,2, Wen Li1,2, Shiqiang Zhang1,2, Xiaojun Yao3, and Shimei Wei3 Dahong Zhang et al.
  • 1College of Urban and Environmental Science, Northwest University, Xi'an 710127, PR China
  • 2Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, Northwest University, Xi'an 710127, PR China
  • 3College of Geography and Environment Sciences, Northwest Normal University, Lanzhou 730070, PR China

Abstract. Length is one of the key determinants of glacier geometry and is an important parameter of glacier inventory and modeling; glacier centerlines are crucial inputs for many glaciological applications. In this study, the centerlines and maximum lengths of global glaciers were extracted using an automatic extraction algorithm based on the latest global glacier inventory data, digital elevation data (DEM), and European allocation theory. The glacier polygons were reconstructed according to the geometric principle and an automatic checking algorithm for the global glacier outlines was designed to filter erroneous or unsupported glacier outlines. The DEMs of global glacier-covered regions were compiled using available DEMs. An updated automatic extraction tool was designed independently, and a parameterization scheme with empirical thresholds was applied for data production. The accuracy of the dataset was evaluated using random assessment with visible interpretation and comparative analysis with another dataset. The 10,764 erroneous glacier polygons, 7,174 ice caps, and 419 nominal glaciers from the Randolph Glacier Inventory (RGI) version 6.0 were identified and excluded, accounting for 8.25 % of the total. In total, 198,137 glacier centerlines were generated, accounting for 99.74 % of the total input glaciers and 91.52 % of the RGI v6.0. The accuracy of glacier centerlines was 89.68 %. The comparison between the dataset and previous datasets suggested that the majority of glacier centerlines were slightly longer than those in RGI v6.0. The extraction method of this study has a strong ability to obtain the maximum length of glaciers, meaning that the maximum lengths of some glaciers were likely underestimated in the past. The dataset constructed includes 14 sub-datasets, such as the global glacier centerline dataset, global glacier maximum length dataset, and global glacier DEM dataset, all of which can be found at link: https://doi.org/10.11922/sciencedb.01643 (Zhang and Zhang, 2022).

Dahong Zhang et al.

Status: open (until 07 Jul 2022)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CC1: 'Comment on essd-2022-141', Wenfeng Chen, 22 May 2022 reply
  • RC1: 'Comment on essd-2022-141', Anonymous Referee #1, 25 May 2022 reply
  • RC2: 'Comment on essd-2022-141', Wang xin, 25 May 2022 reply

Dahong Zhang et al.

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A new global dataset of mountain glacier centerline and length Dahong Zhang, Shiqiang Zhang https://doi.org/10.11922/sciencedb.01643

Dahong Zhang et al.

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Short summary
Length is one of the key determinants of glacier geometry; glacier centerlines are crucial inputs for many glaciological applications. We present a new global dataset that include 198,137 mountain glacier centerlines and lengths in total. The accuracy of glacier centerlines was 89.68 %. Based on European allocation theory, the extraction method of this study has a strong ability to obtain the maximum length of glaciers, and its results include also the centerlines and lengths of glacier branches.