Glacier velocity maps over 2014-2019 on the Kenai Peninsula, Alaska

DOI

We used the Python Glacier Evolution Model (PyGEM) to model monthly glacier-wide climatic mass balance and runoff for all glaciers on the Peninsula from 2005 to 2019. It estimates the climatic mass balance (the sum of accumulation, melt, and refreezing) for each glacier using ~10 m elevation bins, the ice thickness, and a monthly time step forced with near-surface air temperature and precipitation data. The model is calibrated by the Geodetic mass balance data and validated by the in-situ data from US Geological Survey Benchmark Glaciers datasets (https://doi.pangaea.de/10.1594/PANGAEA.970133). We also used the Sentinel-1 data basing offset tracking method to derive velocity maps for glaciers on the Kenai Peninsula from Oct 2014 to Dec 2019 (this dataset).

Identifier
DOI https://doi.org/10.1594/PANGAEA.971786
Related Identifier References https://doi.org/10.1594/PANGAEA.970133
Metadata Access https://ws.pangaea.de/oai/provider?verb=GetRecord&metadataPrefix=datacite4&identifier=oai:pangaea.de:doi:10.1594/PANGAEA.971786
Provenance
Creator Yang, Ruitang (ORCID: 0000-0001-5145-940X)
Publisher PANGAEA
Publication Year 2024
Funding Reference Chinese Academy of Sciences https://doi.org/10.13039/501100002367 Crossref Funder ID 131B62KYSB20180003 ; European Research Council https://doi.org/10.13039/501100000781 Crossref Funder ID 101096057 doi:10.3030/101096057 Past and Future High-resolution Global Glacier Mass Changes (GLACMASS); Gansu Provincial Science and Technology Department https://doi.org/10.13039/501100009620 Crossref Funder ID 22ZD6FA005 ; National Aeronautics and Space Administration https://doi.org/10.13039/100000104 Crossref Funder ID 80NSSC20K1296 Quantifying Contributions from Glaciers and Terrestrial Hydrology to Recent and Future Sea Level Change; State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences https://doi.org/10.13039/501100002902 Crossref Funder ID SKLCS-ZZ-2022 ; The Research Council of Norway https://doi.org/10.13039/501100005416 Crossref Funder ID 324131 https://prosjektbanken.forskningsradet.no/en/project/FORISS/324131 Global glacier modeling: Do non-linear feedbacks matter for century-scale projections?
Rights Creative Commons Attribution 4.0 International; https://creativecommons.org/licenses/by/4.0/
OpenAccess true
Representation
Resource Type Dataset
Format text/tab-separated-values
Size 1104 data points
Discipline Earth System Research
Spatial Coverage (-149.995 LON, 60.094 LAT)
Temporal Coverage Begin 2014-10-22T00:00:00Z
Temporal Coverage End 2019-12-13T00:00:00Z