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dc.contributor.authorO'Malley, CPB
dc.contributor.authorWhite, NJ
dc.contributor.authorStephenson, SN
dc.contributor.authorRoberts, GG
dc.date.accessioned2021-12-15T12:12:55Z
dc.date.available2021-12-15T12:12:55Z
dc.date.issued2021-12
dc.date.submitted2021-07-22
dc.identifier.issn2169-9003
dc.identifier.otherjgrf21456
dc.identifier.other2021jf006345
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/331495
dc.description.abstractAbstract: Successful inverse modeling of observed longitudinal river profiles suggests that fluvial landscapes are responsive to continent‐wide tectonic forcing. However, inversion algorithms make simplifying assumptions about landscape erodibility and drainage planform stability that require careful justification. For example, precipitation rate and drainage catchment area are usually assumed to be invariant. Here, we exploit a closed‐loop modeling strategy by inverting drainage networks generated by dynamic landscape simulations in order to investigate the validity of these assumptions. First, we invert 4,018 African river profiles to determine an uplift history that is independently calibrated, and subsequently validated, using separate suites of geologic observations. Second, we use this tectonic forcing to drive landscape simulations that permit divide migration, interfluvial erosion and changes in catchment size. These simulations reproduce large‐scale features of the African landscape, including growth of deltaic deposits. Third, the influence of variable precipitation is investigated by carrying out a series of increasingly severe tests. Inverse modeling of drainage inventories extracted from simulated landscapes can largely recover tectonic forcing. Our closed‐loop modeling strategy suggests that large‐scale tectonic forcing plays the primary role in landscape evolution. One corollary of the integrative solution of the stream‐power equation is that precipitation rate becomes influential only if it varies on time scales longer than ∼1 Ma. We conclude that calibrated inverse modeling of river profiles is a fruitful method for investigating landscape evolution and for testing source‐to‐sink models.
dc.languageen
dc.publisherAmerican Geophysical Union (AGU)
dc.subjectBIOGEOSCIENCES
dc.subjectRiparian systems
dc.subjectCOMPUTATIONAL GEOPHYSICS
dc.subjectModel verification and validation
dc.subjectCRYOSPHERE
dc.subjectRivers
dc.subjectHYDROLOGY
dc.subjectRiver channels
dc.subjectTECTONOPHYSICS
dc.subjectTectonics and landscape evolution
dc.subjectGEOGRAPHIC LOCATION
dc.subjectAfrica
dc.subjectINFORMATION RELATED TO GEOLOGIC TIME
dc.subjectNeogene
dc.subjectResearch Article
dc.subjectriver profile
dc.subjectneogene
dc.subjectlandscape evolution
dc.subjectsedimentary flux
dc.subjectdrainage
dc.titleLarge-Scale Tectonic Forcing of the African Landscape
dc.typeArticle
dc.date.updated2021-12-15T12:12:54Z
prism.issueIdentifier12
prism.publicationNameJournal of Geophysical Research: Earth Surface
prism.volume126
dc.identifier.doi10.17863/CAM.78949
dcterms.dateAccepted2021-10-28
rioxxterms.versionofrecord10.1029/2021JF006345
rioxxterms.versionAO
rioxxterms.versionVoR
rioxxterms.licenseref.urihttp://creativecommons.org/licenses/by/4.0/
dc.contributor.orcidO'Malley, CPB [0000-0002-0527-5076]
dc.contributor.orcidWhite, NJ [0000-0002-4460-299X]
dc.contributor.orcidStephenson, SN [0000-0002-3889-2791]
dc.contributor.orcidRoberts, GG [0000-0002-6487-8117]
dc.identifier.eissn2169-9011
pubs.funder-project-idLeverhulme Trust (RPG‐2019‐073)
cam.issuedOnline2021-12


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