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Information footprint of different ecohydrological data sources using multi-objective calibration of a physically-based model as hypothesis testing

dc.contributor.authorSoulsby, Christopher
dc.contributor.authorKuppel, Sylvain
dc.contributor.authorManeta, Marco
dc.contributor.authorTetzlaff, Doerthe
dc.contributor.institutionUniversity of Aberdeen.Geography & Environmenten
dc.contributor.institutionUniversity of Aberdeen.Environment and Food Securityen
dc.contributor.institutionUniversity of Aberdeen.Northern Rivers Institute (NRI)en
dc.contributor.institutionUniversity of Aberdeen.Energyen
dc.date.accessioned2018-01-23T09:05:08Z
dc.date.available2018-01-23T09:05:08Z
dc.date.issued2017-12-15
dc.descriptionAcknowledgments We particularly thank the many people who have been involved in establishing and continuing data collection at the Bruntland Burn, particularly C. Birkel, M. Blumstock, J.J. Dick, J. Geris, K. Piegat, C. Tunaley, and H. Wang.en
dc.description.statusNon peer revieweden
dc.format.extent8185928
dc.identifier114991560
dc.identifier30546340-6344-41bd-957e-c2080fa908e9
dc.identifier.citationSoulsby, C, Kuppel, S, Maneta, M & Tetzlaff, D 2017, 'Information footprint of different ecohydrological data sources using multi-objective calibration of a physically-based model as hypothesis testing', AGU Fall Meeting 2017, New Orleans, United States, 11/12/17 - 15/12/17.en
dc.identifier.citationconferenceen
dc.identifier.urihttp://hdl.handle.net/2164/9922
dc.language.isoeng
dc.subjectGE Environmental Sciencesen
dc.subject.lccGEen
dc.titleInformation footprint of different ecohydrological data sources using multi-objective calibration of a physically-based model as hypothesis testingen
dc.typeConference posteren

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