Evaluation of the suitability of the land surface model JULES for climate impact studies in Belgian ecosystems

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The increasing demand for land and water resources, in conjunction with climate change, are expected to significantly alter the terrestrial ecosystems and, by consequence, the energy, water, and carbon fluxes between land and atmosphere. These changes will vary substantially from region to region and within regions, from ecosystem to ecosystem. Land surface models are important tools for understanding and predicting these changes. The purpose of this study is to evaluate the suitability of the land surface model JULES (Cox et al., 1998) to simulate carbon, water vapour and energy fluxes in Belgian ecosystems, and to analyse the response of the different ecosystems to climatic factors. In this study, the evaluation of the land surface model JULES consists of a thorough sensitivity analysis to the environmental conditions, i.e. soil, vegetation and climate, found in the major Belgian ecosystems. Next, the model is tested against the surface flux data collected for several consecutive years at the different FLUXNET and CarboEurope projects sites in Belgium. So far this study has been restricted to two sites, Lonzée and Vielsalm, both located in the Southern part of Belgium. Lonzée is an agricultural site and, a mixed forest covers the Vielsalm site.


Original languageEnglish
Title of host publicationProceedings of the International Conference of "Atmospheric Transport and Chemistry in Forest Ecosystems"
Place of PublicationBayreuth, Germany
Publication statusPublished - Oct 2009
EventAtmospheric Transport and Chemistry in Forest Ecosystems - The joint DFG Project Group EGER, Bayreuth Center for Ecology and Environmental Research, University of BAyreuth, Thurnau, Bayreuth, Germany
Duration: 5 Oct 20098 Oct 2009

Publication series

NameUniversity of Bayreuth, Department of Micrometeorology, Work Reports


ConferenceAtmospheric Transport and Chemistry in Forest Ecosystems
CityThurnau, Bayreuth


  • Land surface, model, ecosystems, validation, FLUXNET, carbon and water cycles

ID: 270710