ICESat-2 Arctic Sea Ice Surface Topography from the University of Maryland-Ridge Detection Algorithm: April 2019, 2020, and 2021

This dataset is derived from the ICESat-2 (IS-2) Global Geolocated Photon Height Product (ATL03) using the University of Maryland-Ridge Detection Algorithm (UMD-RDA). The UMD-RDA is applied to ATL03 on a per-shot basis, nominally resulting in elevation measurements at IS-2'smaximum along-track...

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Bibliographic Details
Main Authors: Kyle Duncan, Sinead Farrell
Format: Other/Unknown Material
Language:unknown
Published: Zenodo 2022
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Online Access:https://doi.org/10.5281/zenodo.7129192
Description
Summary:This dataset is derived from the ICESat-2 (IS-2) Global Geolocated Photon Height Product (ATL03) using the University of Maryland-Ridge Detection Algorithm (UMD-RDA). The UMD-RDA is applied to ATL03 on a per-shot basis, nominally resulting in elevation measurements at IS-2'smaximum along-track resolution of ~0.7 m. From these elevation measurements, the UMD-RDA can measure various sea ice parameters including, but not limited to,individual ridge crests andtheir respective sail heights, the distance between ridges,andsea ice surface roughness. ********Changes in Version 2******** Version 2 includes a column for time (seconds since 2018-01-01) in all parameter files in addition to longitude, latitude, and parameter value. The full resolution UMD-RDA derived elevation data was too large to host here, but is available upon request. If you need a particular track or segment for your research please contact me with your request by email: kd uncan at umd dot edu This study is supported under NASA Cryosphere Program Grant: 80NSSC20K0966