A new Greenland digital elevation model derived from ICESat-2 during 2018–2019
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Published:2022-02-21
Issue:2
Volume:14
Page:781-794
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ISSN:1866-3516
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Container-title:Earth System Science Data
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language:en
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Short-container-title:Earth Syst. Sci. Data
Author:
Fan Yubin,Ke Chang-Qing,Shen Xiaoyi
Abstract
Abstract. Greenland digital elevation models (DEMs) are indispensable to
fieldwork, ice velocity calculations, and mass change estimations. Previous
DEMs have provided reasonable estimations for all of Greenland, but the
time span of applied source data may lead to mass change estimation bias. To
provide a DEM with a specific time stamp, we applied approximately
5.8×108 ICESat-2 observations from November 2018 to November 2019 to generate a new DEM, including the ice sheet and glaciers in
peripheral Greenland. A spatiotemporal model fit process was performed at
500 m, 1 km, 2 km, and 5 km grid cells separately, and the final DEM was posted at
the modal resolution of 500 m. A total of 98 % of the grids were obtained
by the model fit, and the remaining DEM gaps were estimated via the ordinary
Kriging interpolation method. Compared with IceBridge mission data acquired
by the Airborne Topographic Mapper (ATM) lidar system, the ICESat-2 DEM was
estimated to have a maximum median difference of −0.48 m. The performance of
the grids obtained by model fit and interpolation was similar, both of which
agreed well with the IceBridge data. DEM uncertainty rises in regions of low
latitude and high slope or roughness. Furthermore, the ICESat-2 DEM showed
significant accuracy improvements compared with other altimeter-derived
DEMs, and the accuracy was comparable to those derived from
stereophotogrammetry and interferometry. Overall, the ICESat-2 DEM showed
excellent accuracy stability under various topographic conditions, which can
provide a specific time-stamped DEM with high accuracy that will be useful
to study Greenland elevation and mass balance changes. The Greenland DEM and
its uncertainty are available at
https://doi.org/10.11888/Geogra.tpdc.271336 (Fan
et al., 2021).
Funder
National Natural Science Foundation of China
Publisher
Copernicus GmbH
Subject
General Earth and Planetary Sciences
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