Inverting Topography for Landscape Evolution Model Process Representation: 2. Calibration and Validation

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

doi:10.1029/2018jf004963

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Inverting Topography for Landscape Evolution Model Process Representation: 2. Calibration and Validation

2020
By Barnhart, Katherine R. ; Tucker, Gregory E. ; Doty, Sandra G. ; ...
Source: Journal of Geophysical Research: Earth Surface, 125(7)

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Journal Title:

Journal of Geophysical Research: Earth Surface
Personal Author:

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

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

We present a multimodel analysis for mechanistic hypothesis testing in landscape evolution theory. The study site is a watershed with well-constrained initial and boundary conditions in which a river network locally incised 50 m over the last 13 ka. We calibrate and validate a set of 37 landscapeevolution models designed to hierarchically test elements of complexity from four categories: hillslope processes, channel processes, surface hydrology, and representation of geologic materials. Comparison of each model to a base model, which uses stream power channel incision, uniform lithology, hillslopetransport by linear diffusion, and surface water discharge proportional to drainage area, serves as a formal test of which elements of complexity improve model performance. Model fit is assessed using an objective function based on a direct difference between observed and simulated modern topography. A hybrid
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Earth-Surface Processes Geophysics
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Journal of Geophysical Research: Earth Surface, 125(7)
DOI:

https://doi.org/10.1029/2018jf004963
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2169-9003;2169-9011;
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American Geophysical Union (AGU)
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Journal Article
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urn:sha256:2d5f9b879502e034ebce019a22a60058f8a5099b9dead007df65a4b1b6c0b87f
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https://repository.library.noaa.gov/view/noaa/52559/noaa_52559_DS1.pdf
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