Modeled timing of flooding for the Beringian shelf for the past 20,000 years

DOI

The paleo bathymetry grids (PaleoMIST 1.0 (Gowan et al. 2021) were used to calculate the timing of flooding in the Beringia study region. The resulting GeoTiff (Year of flooding.tif) has a spatial resolution of 5,000 m and each pixel contains the modeled time of flooding (in yrs BP), e.g., when this location was flooded by rising sea levels. PaleoMIST 1.0 is a glacial isostatic adjustment-based paleo topographic reconstruction model that includes relative sea level and paleo bathymetry as an output. The model was created to estimate the sea level contribution of the global ice sheets and is validated using observations of relative sea level change. To estimate the timing of flooding, nine of the PaleoMIST 1.0 raster data sets (20,000 yrs BP to 0 yrs BP, with 2,500 years time steps) were used. In order to estimate the timing of flooding for each pixel, we first calculated the linear increase (or decrease) for each pixel between two sequential PaleoMIST 1.0 grids to establish grids for every 1,000 years. In addition, we calculated the timing of flooding for each pixel, again by assuming a linear transition between two sequential grids. The timing of flooding was then determined as the point in time when a pixel elevation value relative to sea level switched from positive (>0; above sea level) to negative (<0; below sea level). These two procedures allowed us to estimate the area, which became flooded in each 1,000-year time interval from 20,000 yrs BP to present (0 yrs BP). The associated files can be imported, read and viewed with a geographic information system software or through a programming language.

The zip file contains a geotiff with the following characteristics:Coordinate system: WGS_1984_North_Pole_LAEA_Bering_SeaPixel resolution: 5002,109008 mExtent:Top: -339202,380295Left: -1757023,18307Right: 1904520,61079Bottom: -4280864,2786

Identifier
DOI https://doi.org/10.1594/PANGAEA.960150
Related Identifier IsSupplementTo https://doi.org/10.1016/j.quascirev.2024.108976
Related Identifier References https://doi.org/10.1038/s41467-021-21469-w
Metadata Access https://ws.pangaea.de/oai/provider?verb=GetRecord&metadataPrefix=datacite4&identifier=oai:pangaea.de:doi:10.1594/PANGAEA.960150
Provenance
Creator Fuchs, Matthias ORCID logo; Jones, Miriam C ORCID logo; Gowan, Evan J ORCID logo; Frolking, Steve; Walter Anthony, Katey M ORCID logo; Grosse, Guido ORCID logo; Jones, Benjamin M ORCID logo; O'Donnel, Jonathan; Brosius, Laura Susan; Treat, Claire C ORCID logo
Publisher PANGAEA
Publication Year 2024
Funding Reference European Research Council https://doi.org/10.13039/501100000781 Crossref Funder ID 851181 https://cordis.europa.eu/project/id/851181 The role of non-growing season processes in the methane and nitrous oxide budgets in pristine northern ecosystems; National Science Foundation https://doi.org/10.13039/100000001 Crossref Funder ID 1903623 https://www.nsf.gov/awardsearch/showAward?AWD_ID=1903623 Collaborative Research: Sea-level rise, coastal wetland expansion, and proglacial lake contributions to abrupt increases in northern atmospheric CH4 during the last deglaciation; National Science Foundation https://doi.org/10.13039/100000001 Crossref Funder ID 1903735 https://www.nsf.gov/awardsearch/showAward?AWD_ID=1903735 Collaborative Research: Sea-level rise, coastal wetland expansion, and proglacial lake contributions to abrupt increases in northern atmospheric CH4 during the last deglaciation; National Science Foundation https://doi.org/10.13039/100000001 Crossref Funder ID 1927553 https://www.nsf.gov/awardsearch/showAward?AWD_ID=1927553 Collaborative Research: AccelNet: Permafrost Coastal Systems Network (PerCS-Net) -- A Circumpolar Alliance for Arctic Coastal Community Information Exchange
Rights Creative Commons Attribution 4.0 International; https://creativecommons.org/licenses/by/4.0/
OpenAccess true
Representation
Resource Type Dataset
Format application/zip
Size 542.4 kBytes
Discipline Earth System Research
Spatial Coverage (-100.185W, 47.011S, 101.020E, 73.940N)