Projections of Landscape Evolution on a 10,000 Year Timescale With Assessment and Partitioning of Uncertainty Sources

Barnhart, Katherine R.; Tucker, Gregory E.; Doty, Sandra G.; Glade, Rachel C.; Shobe, Charles M.; Rossi, Matthew W.; Hill, Mary C.

doi:10.1029/2020jf005795

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The NOAA IR serves as an archival repository of NOAA-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by NOAA or funded partners. As a repository, the NOAA IR retains documents in their original published format to ensure public access to scientific information.

i

Projections of Landscape Evolution on a 10,000 Year Timescale With Assessment and Partitioning of Uncertainty Sources

2020
By Barnhart, Katherine R. ; Tucker, Gregory E. ; Doty, Sandra G. ; ...
Source: Journal of Geophysical Research: Earth Surface, 125(12)

[PDF-3.44 MB]

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Journal Title:

Journal of Geophysical Research: Earth Surface
Personal Author:

Barnhart, Katherine R. ; Tucker, Gregory E. ; Doty, Sandra G. ; Glade, Rachel C. ; Shobe, Charles M. ; ... More +

Barnhart, Katherine R. ; Tucker, Gregory E. ; Doty, Sandra G. ; Glade, Rachel C. ; Shobe, Charles M. ; Rossi, Matthew W. ; Hill, Mary C. Less -
NOAA Program & Office:

NESDIS (National Environmental Satellite, Data, and Information Service) ; CIRES (Cooperative Institute for Research in Environmental Sciences) ; NCEI (National Centers for Environmental Information)

NESDIS (National Environmental Satellite, Data, and Information Service) ; CIRES (Cooperative Institute for Research in Environmental Sciences) ; NCEI (National Centers for Environmental Information) Less -
Description:

Long-term erosion can threaten infrastructure and buried waste, with consequences for management of natural systems. We develop erosion projections over 10 ky for a 5 km2 watershed in New York, USA. Because there is no single landscape evolution model appropriate for the study site, we assess uncertainty in projections associated with model structure by considering a set of alternative models, each with a slightly different governing equation. In addition to model structure uncertainty, we consider the following uncertainty sources: selection of a final model set; each model's parameter values estimated through calibration; simulation boundary conditions such as the future incision of downstream rivers and
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Earth-Surface Processes Geophysics
Source:

Journal of Geophysical Research: Earth Surface, 125(12)
DOI:

https://doi.org/10.1029/2020jf005795
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2169-9003;2169-9011;
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PDF
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American Geophysical Union (AGU)
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Journal Article
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urn:sha256:2091e398557c7a8f500ee02bdb1890ad7518e22afff5ebc14b6a75d06d78fe51
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https://repository.library.noaa.gov/view/noaa/52561/noaa_52561_DS1.pdf
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