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 Councilen
cg.contributor.affiliationETH Zürichen
cg.contributor.affiliationEuropean Centre for Medium-Range Weather Forecastsen
cg.contributor.affiliationForest Researchen
cg.contributor.affiliationFree University of Bozen-Bolzanoen
cg.contributor.affiliationFunctional Ecology and Biogeochemistry of Soils and Agrosystemsen
cg.contributor.affiliationImperial College Londonen
cg.contributor.affiliationInternational Livestock Research Instituteen
cg.contributor.affiliationKarlsruhe Institute of Technologyen
cg.contributor.affiliationLancaster Universityen
cg.contributor.affiliationLund Universityen
cg.contributor.affiliationMet Office, United Kingdomen
cg.contributor.affiliationState University of Campinasen
cg.contributor.affiliationUK Centre for Ecology and Hydrologyen
cg.contributor.affiliationUniversität Innsbrucken
cg.contributor.affiliationUniversity of Arizonaen
cg.contributor.affiliationUniversity of Birminghamen
cg.contributor.affiliationUniversity of British Columbiaen
cg.contributor.affiliationUniversity of Exeteren
cg.contributor.affiliationUniversity of French Guianaen
cg.contributor.affiliationUniversity of Helsinkien
cg.contributor.affiliationUniversity of Lorraineen
cg.contributor.affiliationUniversity of Readingen
cg.contributor.affiliationUniversity of Technology, Sydneyen
cg.contributor.affiliationUniversity of Yorken
cg.contributor.affiliationUNSW Sydneyen
cg.contributor.donorAgence Nationale de la Recherche, Franceen
cg.contributor.donorCanadian Climate Forumen
cg.contributor.donorDepartment for Business, Energy and Industrial Strategyen
cg.contributor.donorDepartment for Environment, Food and Rural Affairs, United Kingdomen
cg.contributor.donorEngineering and Physical Sciences Research Council, United Kingdomen
cg.contributor.donorEuropean Unionen
cg.contributor.donorEuropean Research Councilen
cg.contributor.donorGordon and Betty Moore Foundationen
cg.contributor.donorMet Office, United Kingdomen
cg.contributor.donorNational Aeronautics and Space Administration, United Statesen
cg.contributor.donorNatural Environment Research Council, United Kingdomen
cg.contributor.donorNatural Sciences and Engineering Research Councilen
cg.contributor.donorOfficial Development Assistanceen
cg.contributor.donorSwiss National Science Foundationen
cg.creator.identifierLutz Merbold: 0000-0003-4974-170X
cg.identifier.doihttps://doi.org/10.5194/gmd-14-3269-2021en
cg.issn1991-9603en
cg.issue6en
cg.journalGeoscientific Model Developmenten
cg.subject.ilriCROPSen
cg.volume14en
dc.contributor.authorHarper, Anna B.en
dc.contributor.authorWilliams, Karina E.en
dc.contributor.authorMcGuire, Patrick C.en
dc.contributor.authorDuran Rojas, Maria Carolinaen
dc.contributor.authorHemming, Debbieen
dc.contributor.authorVerhoef, Anneen
dc.contributor.authorHuntingford, Chrisen
dc.contributor.authorRowland, Lucyen
dc.contributor.authorMarthews, Tobyen
dc.contributor.authorBreder Eller, Cleitonen
dc.contributor.authorMathison, Camillaen
dc.contributor.authorNobrega, Rodolfo L.B.en
dc.contributor.authorGedney, Nicolaen
dc.contributor.authorVidale, Pier Luigien
dc.contributor.authorOtu-Larbi, Freden
dc.contributor.authorPandey, Divyaen
dc.contributor.authorGarrigues, Sebastienen
dc.contributor.authorWright, Azinen
dc.contributor.authorSlevin, Darrenen
dc.contributor.authorKauwe, Martin G. deen
dc.contributor.authorBlyth, Eleanoren
dc.contributor.authorArdö, Jonasen
dc.contributor.authorBlack, Andrewen
dc.contributor.authorBonal, Damienen
dc.contributor.authorBuchmann, Ninaen
dc.contributor.authorBurban, Benoiten
dc.contributor.authorFuchs, Kathrinen
dc.contributor.authorGrandcourt, Agnès deen
dc.contributor.authorMammarella, Ivanen
dc.contributor.authorMerbold, Lutzen
dc.contributor.authorMontagnani, Leonardoen
dc.contributor.authorNouvellon, Yannen
dc.contributor.authorRestrepo Coupe, Nataliaen
dc.contributor.authorWohlfahrt, Georgen
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. 3269-3294en
dcterms.issued2021-06-03
dcterms.languageen
dcterms.licenseCC-BY-4.0
dcterms.publisherCopernicus GmbHen
dcterms.subjectevaluationen
dcterms.subjectsoilen
dcterms.subjectsoil moistureen
dcterms.subjectimprovementen
dcterms.subjectplanten
dcterms.typeJournal Article

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