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dc.contributor.authorMathany, Ashley M.
dc.contributor.authorBohrer, Gil
dc.contributor.authorStoy, Paul C.
dc.contributor.authorBaker, Ian T.
dc.contributor.authorBlack, Andy T.
dc.contributor.authorDesai, Ankur R.
dc.contributor.authorGough, Christopher M.
dc.contributor.authorIvanov, Valeriy Y.
dc.contributor.authorJassal, Rachhpal S.
dc.contributor.authorNovick, Kimberly A.
dc.contributor.authorSchäfer, Karina V.R.
dc.contributor.authorVerbeeck, Hans
dc.date.accessioned2016-07-14T22:19:51Z
dc.date.available2016-07-14T22:19:51Z
dc.date.issued2014-07
dc.identifier.citationMatheny, Ashley M., Gil Bohrer, Paul Stoy, Ian T. Baker, Andy T. Black, Ankur R. Desai, Michael C. Dietze et al. "Characterizing the diurnal patterns of errors in the prediction of evapotranspiration by several land‐surface models: An NACP analysis." Journal of Geophysical Research: Biogeosciences 119, no. 7 (2014): 1458-1473.en_US
dc.identifier.issn2169-8953
dc.identifier.urihttps://scholarworks.montana.edu/xmlui/handle/1/9935
dc.description.abstractLand-surface models use different formulations of stomatal conductance and plant hydraulics, and it is unclear which type of model best matches the observed surface-atmosphere water flux. We use the North American Carbon Program data set of latent heat flux (LE) measurements from 25 sites and predictions from 9 models to evaluate models' ability to resolve subdaily dynamics of transpiration. Despite overall good forecast at the seasonal scale, the models have difficulty resolving the dynamics of intradaily hysteresis. The majority of models tend to underestimate LE in the prenoon hours and overestimate in the evening. We hypothesize that this is a result of unresolved afternoon stomatal closure due to hydrodynamic stresses. Although no model or stomata parameterization was consistently best or worst in terms of ability to predict LE, errors in model-simulated LE were consistently largest and most variable when soil moisture was moderate and vapor pressure deficit was moderate to limiting. Nearly all models demonstrate a tendency to underestimate the degree of maximum hysteresis which, across all sites studied, is most pronounced during moisture-limited conditions. These diurnal error patterns are consistent with models' diminished ability to accurately simulate the natural hysteresis of transpiration. We propose that the lack of representation of plant hydrodynamics is, in part, responsible for these error patterns.en_US
dc.description.sponsorshipU.S. Department of Energy awards DE-SC0006708, DE-SC0007041 and Ameriflux National Core Site award through Lawrence Berkeley National Laboratory contract #7096915, and the National Science Foundation grants DEB-0911461 including an REU supplement award for A.M. and additional support by the National Oceanic and Atmospheric Administration award NA11OAR4310190. Data analysis was conducted in part at the Ohio Supercomputer Center, allocation grant PAS0409-4. P.C.S. acknowledges support from the U.S. NSF EF 1241881.en_US
dc.titleCharacterizing the diurnal patterns of errors in the prediction of evapotranspiration by several land‐surface models: An NACP analysisen_US
dc.typeArticleen_US
mus.citation.extentfirstpage1458en_US
mus.citation.extentlastpage1473en_US
mus.citation.issue7en_US
mus.citation.journaltitleJournal of Geophysical Research: Biogeosciencesen_US
mus.citation.volume119en_US
mus.identifier.categoryLife Sciences & Earth Sciencesen_US
mus.identifier.doi10.1002/2014JG002623en_US
mus.relation.collegeCollege of Agricultureen_US
mus.relation.departmentLand Resources & Environmental Sciences.en_US
mus.relation.universityMontana State University - Bozemanen_US
mus.data.thumbpage10en_US


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