Improvement of modeling plant responses to low soil moisture in JULESvn4.9 and evaluation against flux tower measurements

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cg.contributor.affiliationAustralian Respiratory Council
cg.contributor.affiliationETH Zürich
cg.contributor.affiliationEuropean Centre for Medium-Range Weather Forecasts
cg.contributor.affiliationForest Research
cg.contributor.affiliationFree University of Bozen-Bolzano
cg.contributor.affiliationFunctional Ecology and Biogeochemistry of Soils and Agrosystems
cg.contributor.affiliationImperial College London
cg.contributor.affiliationInternational Livestock Research Institute
cg.contributor.affiliationKarlsruhe Institute of Technology
cg.contributor.affiliationLancaster University
cg.contributor.affiliationLund University
cg.contributor.affiliationMet Office, United Kingdom
cg.contributor.affiliationState University of Campinas
cg.contributor.affiliationUK Centre for Ecology and Hydrology
cg.contributor.affiliationUniversität Innsbruck
cg.contributor.affiliationUniversity of Arizona
cg.contributor.affiliationUniversity of Birmingham
cg.contributor.affiliationUniversity of British Columbia
cg.contributor.affiliationUniversity of Exeter
cg.contributor.affiliationUniversity of French Guiana
cg.contributor.affiliationUniversity of Helsinki
cg.contributor.affiliationUniversity of Lorraine
cg.contributor.affiliationUniversity of Reading
cg.contributor.affiliationUniversity of Technology, Sydney
cg.contributor.affiliationUniversity of York
cg.contributor.affiliationUNSW Sydney
cg.contributor.donorAgence Nationale de la Recherche, France
cg.contributor.donorCanadian Climate Forum
cg.contributor.donorDepartment for Business, Energy and Industrial Strategy
cg.contributor.donorDepartment for Environment, Food and Rural Affairs, United Kingdom
cg.contributor.donorEngineering and Physical Sciences Research Council, United Kingdom
cg.contributor.donorEuropean Union
cg.contributor.donorEuropean Research Council
cg.contributor.donorGordon and Betty Moore Foundation
cg.contributor.donorMet Office, United Kingdom
cg.contributor.donorNational Aeronautics and Space Administration, United States
cg.contributor.donorNatural Environment Research Council, United Kingdom
cg.contributor.donorNatural Sciences and Engineering Research Council
cg.contributor.donorOfficial Development Assistance
cg.contributor.donorSwiss National Science Foundation
cg.creator.identifierLutz Merbold: 0000-0003-4974-170X
cg.identifier.doihttps://doi.org/10.5194/gmd-14-3269-2021
cg.issn1991-9603
cg.issue6
cg.journalGeoscientific Model Development
cg.subject.ilriCROPS
cg.volume14
dc.contributor.authorHarper, Anna B.
dc.contributor.authorWilliams, Karina E.
dc.contributor.authorMcGuire, Patrick C.
dc.contributor.authorDuran Rojas, Maria Carolina
dc.contributor.authorHemming, Debbie
dc.contributor.authorVerhoef, Anne
dc.contributor.authorHuntingford, Chris
dc.contributor.authorRowland, Lucy
dc.contributor.authorMarthews, Toby
dc.contributor.authorBreder Eller, Cleiton
dc.contributor.authorMathison, Camilla
dc.contributor.authorNobrega, Rodolfo L.B.
dc.contributor.authorGedney, Nicola
dc.contributor.authorVidale, Pier Luigi
dc.contributor.authorOtu-Larbi, Fred
dc.contributor.authorPandey, Divya
dc.contributor.authorGarrigues, Sebastien
dc.contributor.authorWright, Azin
dc.contributor.authorSlevin, Darren
dc.contributor.authorKauwe, Martin G. de
dc.contributor.authorBlyth, Eleanor
dc.contributor.authorArdö, Jonas
dc.contributor.authorBlack, Andrew
dc.contributor.authorBonal, Damien
dc.contributor.authorBuchmann, Nina
dc.contributor.authorBurban, Benoit
dc.contributor.authorFuchs, Kathrin
dc.contributor.authorGrandcourt, Agnès de
dc.contributor.authorMammarella, Ivan
dc.contributor.authorMerbold, Lutz
dc.contributor.authorMontagnani, Leonardo
dc.contributor.authorNouvellon, Yann
dc.contributor.authorRestrepo Coupe, Natalia
dc.contributor.authorWohlfahrt, Georg
dc.date.accessioned2023-03-10T14:33:59Zen
dc.date.available2023-03-10T14:33:59Zen
dc.identifier.urihttps://hdl.handle.net/10568/129375
dc.titleImprovement of modeling plant responses to low soil moisture in JULESvn4.9 and evaluation against flux tower measurementsen
dcterms.abstractAbstract. Drought is predicted to increase in the future due to climate change, bringing with it myriad impacts on ecosystems. Plants respond to drier soils by reducing stomatal conductance in order to conserve water and avoid hydraulic damage. Despite the importance of plant drought responses for the global carbon cycle and local and regional climate feedbacks, land surface models are unable to capture observed plant responses to soil moisture stress. We assessed the impact of soil moisture stress on simulated gross primary productivity (GPP) and latent energy flux (LE) in the Joint UK Land Environment Simulator (JULES) vn4.9 on seasonal and annual timescales and evaluated 10 different representations of soil moisture stress in the model. For the default configuration, GPP was more realistic in temperate biome sites than in the tropics or high-latitude (cold-region) sites, while LE was best simulated in temperate and high-latitude (cold) sites. Errors that were not due to soil moisture stress, possibly linked to phenology, contributed to model biases for GPP in tropical savanna and deciduous forest sites. We found that three alternative approaches to calculating soil moisture stress produced more realistic results than the default parameterization for most biomes and climates. All of these involved increasing the number of soil layers from 4 to 14 and the soil depth from 3.0 to 10.8 m. In addition, we found improvements when soil matric potential replaced volumetric water content in the stress equation (the “soil14_psi” experiments), when the critical threshold value for inducing soil moisture stress was reduced (“soil14_p0”), and when plants were able to access soil moisture in deeper soil layers (“soil14_dr*2”). For LE, the biases were highest in the default configuration in temperate mixed forests, with overestimation occurring during most of the year. At these sites, reducing soil moisture stress (with the new parameterizations mentioned above) increased LE and increased model biases but improved the simulated seasonal cycle and brought the monthly variance closer to the measured variance of LE. Further evaluation of the reason for the high bias in LE at many of the sites would enable improvements in both carbon and energy fluxes with new parameterizations for soil moisture stress. Increasing the soil depth and plant access to deep soil moisture improved many aspects of the simulations, and we recommend these settings in future work using JULES or as a general way to improve land surface carbon and water fluxes in other models. In addition, using soil matric potential presents the opportunity to include plant functional type-specific parameters to further improve modeled fluxes.en
dcterms.accessRightsOpen Access
dcterms.available2021-06-03
dcterms.bibliographicCitationHarper, Anna B.; Williams, Karina E.; McGuire, Patrick C.; Duran Rojas, Maria Carolina; Hemming, Debbie; Verhoef, Anne; Huntingford, Chris; Rowland, Lucy; Marthews, Toby; Breder Eller, Cleiton; Mathison, Camilla; Nobrega, Rodolfo L.B.; Gedney, Nicola; Vidale, Pier Luigi; Otu-Larbi, Fred; Pandey, Divya; Garrigues, Sebastien; Wright, Azin; Slevin, Darren; Kauwe, Martin G. de; Blyth, Eleanor; Ardö, Jonas; Black, Andrew; Bonal, Damien; Buchmann, Nina; Burban, Benoit; Fuchs, Kathrin; Grandcourt, Agnès de; Mammarella, Ivan; Merbold, Lutz; Montagnani, Leonardo; Nouvellon, Yann; Restrepo-Coupe, Natalia; Wohlfahrt, Georg. 2021. Improvement of modeling plant responses to low soil moisture in JULESvn4.9 and evaluation against flux tower measurements. Geoscientific Model Development 14: 3269-3294en
dcterms.extentp. 3269-3294
dcterms.issued2021-06-03
dcterms.languageen
dcterms.licenseCC-BY-4.0
dcterms.publisherCopernicus GmbH
dcterms.subjectevaluationen
dcterms.subjectsoilen
dcterms.subjectsoil moistureen
dcterms.subjectimprovementen
dcterms.subjectplanten
dcterms.typeJournal Article

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