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DOI: 10.5445/IR/1000080599
DOI: 10.2136/vzj2017.03.0052

Vegetation growth models improve surface layer flux simulations of a temperate Grassland

Klein, C.; Biernath, C.; Heinlein, F.; Thieme, C.; Gilgen, A. K.; Zeeman, M.; Priesack, E.

Grassland models represent interactions of plant growth with soil and agricultural management based on underlying processes in different degrees of detail. To better understand the impact of these differences on the simulation of energy and matter exchange at the land-surface layer, we compared the ability of five land-surface models with different degrees of complexity to simulate energy fluxes in an intensively managed grassland in Switzerland. The aim was to evaluate the impacts of biomass growth, biomass harvest, soil profile characterization, and rooting depth on the dynamics of simulated near-surface soil moisture contents and energy fluxes. The case study included a comparison of model results with continuous observations of latent heat, sensible heat, and net radiation for a site-year. Energy fluxes were simulated more accurately by including a biomass growth model, encompassing the abrupt decline in leaf area caused by harvest. Sitespecific soil parametrization in combination with the absence of restrictions on rooting depth also improved the simulation results. The simulated energy fluxes of the five models differed signif ... mehr

Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung - Atmosphärische Umweltforschung (IMK-IFU)
Publikationstyp Zeitschriftenaufsatz
Jahr 2018
Sprache Englisch
Identifikator ISSN: 1539-1663
URN: urn:nbn:de:swb:90-805998
KITopen ID: 1000080599
Erschienen in Vadose zone journal
Band 16
Heft 13
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