Articles | Volume 17, issue 5
https://doi.org/10.5194/essd-17-1835-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-17-1835-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
The Earth Topography 2022 (ETOPO 2022) global DEM dataset
Michael MacFerrin
CORRESPONDING AUTHOR
Cooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, 80309, United States of America
National Centers for Environmental Information, National Oceanic and Atmospheric Administration, Boulder, Colorado, 80309, United States of America
Christopher Amante
Cooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, 80309, United States of America
National Centers for Environmental Information, National Oceanic and Atmospheric Administration, Boulder, Colorado, 80309, United States of America
Kelly Carignan
Cooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, 80309, United States of America
National Centers for Environmental Information, National Oceanic and Atmospheric Administration, Boulder, Colorado, 80309, United States of America
Matthew Love
Cooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, 80309, United States of America
National Centers for Environmental Information, National Oceanic and Atmospheric Administration, Boulder, Colorado, 80309, United States of America
Elliot Lim
Cooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, 80309, United States of America
National Centers for Environmental Information, National Oceanic and Atmospheric Administration, Boulder, Colorado, 80309, United States of America
Related authors
Michael J. MacFerrin, C. Max Stevens, Baptiste Vandecrux, Edwin D. Waddington, and Waleed Abdalati
Earth Syst. Sci. Data, 14, 955–971, https://doi.org/10.5194/essd-14-955-2022, https://doi.org/10.5194/essd-14-955-2022, 2022
Short summary
Short summary
The vast majority of the Greenland ice sheet's surface is covered by pluriannual snow, also called firn, that accumulates year after year and is compressed into glacial ice. The thickness of the firn layer changes through time and responds to the surface climate. We present continuous measurement of the firn compaction at various depths for eight sites. The dataset will help to evaluate firn models, interpret ice cores, and convert remotely sensed ice sheet surface height change to mass loss.
Michael J. MacFerrin, C. Max Stevens, Baptiste Vandecrux, Edwin D. Waddington, and Waleed Abdalati
Earth Syst. Sci. Data, 14, 955–971, https://doi.org/10.5194/essd-14-955-2022, https://doi.org/10.5194/essd-14-955-2022, 2022
Short summary
Short summary
The vast majority of the Greenland ice sheet's surface is covered by pluriannual snow, also called firn, that accumulates year after year and is compressed into glacial ice. The thickness of the firn layer changes through time and responds to the surface climate. We present continuous measurement of the firn compaction at various depths for eight sites. The dataset will help to evaluate firn models, interpret ice cores, and convert remotely sensed ice sheet surface height change to mass loss.
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Short summary
Here we present Earth TOPOgraphy (ETOPO) 2022, the latest iteration of NOAA's global seamless topographic–bathymetric dataset. ETOPO 2022 is a significant upgrade regarding resolution and accuracy from previous ETOPO releases and is freely available in multiple data formats and resolutions for all uses (public or private), excepting navigation.
Here we present Earth TOPOgraphy (ETOPO) 2022, the latest iteration of NOAA's global seamless...
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