001022141 001__ 1022141
001022141 005__ 20240226075430.0
001022141 0247_ $$2doi$$a10.5194/egusphere-egu23-13465
001022141 037__ $$aFZJ-2024-01262
001022141 1001_ $$0P:(DE-Juel1)180763$$aPoppe Terán, Christian$$b0$$eCorresponding author
001022141 1112_ $$aEGU General Assembly 2023$$cVienna$$d2023-04-24 - 2023-04-28$$wAustria
001022141 245__ $$aUncertainty in representation of ecosystem processes in Europe by the Community Land Model v5
001022141 260__ $$c2023
001022141 3367_ $$033$$2EndNote$$aConference Paper
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001022141 3367_ $$0PUB:(DE-HGF)6$$2PUB:(DE-HGF)$$aConference Presentation$$bconf$$mconf$$s1706774791_9640$$xPlenary/Keynote
001022141 520__ $$aUnderstanding hydrological and biogeochemical ecosystem process variability in response to a changing climate is important to improve land surface models and assess current and future states of ecosystem functioning. However, the representation of spatial heterogeneity of ecosystem processes in state-of-the-art land-surface models has not been evaluated thoroughly until today. Here we compare gross primary production (GPP) and evapotranspiration (ET) simulated by the Community Land Model version 5 (CLM5) for the period 1995-2018 over the Euro-CORDEX domain with in-situ data from eddy-covariance sites as well as remote sensing and reanalysis data. Additionally, we conducted a parameter sensitivity analysis to identify the impact of uncertainty coming from ecosystem parameters (in particular default parameters for given plant functional types) for selected sites in Europe. Our results show that GPP and ET variation across hydroclimates show in general a good agreement between CLM5 and remote sensing and reanalysis products. However, both GPP and ET simulated by CLM5 show large differences with measured in-situ data, depending on the ecosystem type. Further, we identify sensitive parameters that will be adjusted to improve ecosystem representation in CLM5 in a future study. This work is important to improve land surface models and parameterization of plant functional types to understand and improve predictions of ecosystem functioning.
001022141 536__ $$0G:(DE-HGF)POF4-2173$$a2173 - Agro-biogeosystems: controls, feedbacks and impact (POF4-217)$$cPOF4-217$$fPOF IV$$x0
001022141 536__ $$0G:(EU-Grant)871128$$aeLTER PLUS - European long-term ecosystem, critical zone and socio-ecological systems research infrastructure PLUS (871128)$$c871128$$fH2020-INFRAIA-2019-1$$x1
001022141 588__ $$aDataset connected to CrossRef
001022141 7001_ $$0P:(DE-Juel1)169794$$aS. Naz, Bibi$$b1
001022141 7001_ $$0P:(DE-Juel1)138662$$aHendricks-Franssen, Harrie-Jan$$b2$$ufzj
001022141 7001_ $$0P:(DE-Juel1)129549$$aVereecken, Harry$$b3
001022141 773__ $$a10.5194/egusphere-egu23-13465
001022141 8564_ $$uhttps://meetingorganizer.copernicus.org/EGU23/EGU23-13465.html
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001022141 9131_ $$0G:(DE-HGF)POF4-217$$1G:(DE-HGF)POF4-210$$2G:(DE-HGF)POF4-200$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-2173$$aDE-HGF$$bForschungsbereich Erde und Umwelt$$lErde im Wandel – Unsere Zukunft nachhaltig gestalten$$vFür eine nachhaltige Bio-Ökonomie – von Ressourcen zu Produkten$$x0
001022141 9141_ $$y2023
001022141 920__ $$lyes
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