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Can Hydrological Models Benefit From Using Global Soil Moisture, Evapotranspiration, and Runoff Products as Calibration Targets?
dc.contributor.authorMei, Yiwen
dc.contributor.authorMai, Juliane
dc.contributor.authorDo, Hong Xuan
dc.contributor.authorGronewold, Andrew
dc.contributor.authorReeves, Howard
dc.contributor.authorEberts, Sandra
dc.contributor.authorNiswonger, Richard
dc.contributor.authorRegan, R. Steven
dc.contributor.authorHunt, Randall J.
dc.date.accessioned2023-03-03T21:11:06Z
dc.date.available2024-03-03 16:11:04en
dc.date.available2023-03-03T21:11:06Z
dc.date.issued2023-02
dc.identifier.citationMei, Yiwen; Mai, Juliane; Do, Hong Xuan; Gronewold, Andrew; Reeves, Howard; Eberts, Sandra; Niswonger, Richard; Regan, R. Steven; Hunt, Randall J. (2023). "Can Hydrological Models Benefit From Using Global Soil Moisture, Evapotranspiration, and Runoff Products as Calibration Targets?." Water Resources Research 59(2): n/a-n/a.
dc.identifier.issn0043-1397
dc.identifier.issn1944-7973
dc.identifier.urihttps://hdl.handle.net/2027.42/175943
dc.description.abstractHydrological models are usually calibrated to in-situ streamflow observations with reasonably long and uninterrupted records. This is challenging for poorly gage or ungaged basins where such information is not available. Even for gaged basins, the single-objective calibration to gaged streamflow cannot guarantee reliable forecasts because, as has been documented elsewhere, the inverse problem is mathematically ill-posed. Therefore, the inclusion of other observations, and the reproduction of other hydrological variables beyond streamflow, become critical components of accurate hydrological forecasting. In this study, six single- and multi-objective model calibration schemes based on different combinations of gaged streamflow, global-scale gridded soil moisture, actual evapotranspiration (ET), and runoff products are used for the calibration of a process-based hydrological model for 20 catchments located within the Lake Michigan watershed, of the Laurentian Great Lakes. Results show that the addition of gridded soil moisture to gaged streamflow in model calibration improves the ET simulation performance for most of the catchments, leading to the overall best-performing models. The monthly streamflow simulation performance for the experiments using gridded runoff products to inform the model is outperformed by those using the gaged streamflow, but the discrepancy is mitigated with increasing catchment scale. A new visualization method that effectively synthesizes model performance for the simulations of streamflow, soil moisture, and ET was also proposed. Based on the method, it is revealed that the streamflow simulation performance is relatively weak for baseflow-dominated catchments; overall, the 20 catchment models simulate streamflow and ET better than soil moisture.Key PointsUsing soil moisture in addition to streamflow to constrain hydrological model calibration improves the evapotranspiration simulationThe global gridded runoff products show higher potential in streamflow calibration for larger catchmentsTernary diagram is used to visualize the performances of three hydrological variables considering all possible variable importance
dc.publisherNASA Socioeconomic Data and Applications Center (SEDAC)
dc.publisherWiley Periodicals, Inc.
dc.subject.othermulti-objective calibration
dc.subject.otherhydrological modeling
dc.subject.othersoil moisture
dc.subject.otherevapotranspiration
dc.subject.otherrunoff
dc.subject.otherternary diagram
dc.titleCan Hydrological Models Benefit From Using Global Soil Moisture, Evapotranspiration, and Runoff Products as Calibration Targets?
dc.typeArticle
dc.rights.robotsIndexNoFollow
dc.subject.hlbsecondlevelNatural Resources and Environment
dc.subject.hlbtoplevelScience
dc.description.peerreviewedPeer Reviewed
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/175943/1/wrcr26460_am.pdf
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/175943/2/wrcr26460.pdf
dc.identifier.doi10.1029/2022WR032064
dc.identifier.sourceWater Resources Research
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dc.working.doiNOen
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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