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DOI: 10.5445/IR/1000072945
Originalveröffentlichung
DOI: 10.5194/bg-14-3487-2017
Scopus
Zitationen: 2
Web of Science
Zitationen: 2

Constraining a complex biogeochemical model for CO₂ and N₂O emission simulations from various land uses by model-data fusion

Houska, Tobias; Kraus, David; Kiese, Ralf; Breuer, Lutz

Abstract:
This study presents the results of a combined measurement and modelling strategy to analyse N₂O and CO₂ emissions from adjacent arable land, forest and grassland sites in Hesse, Germany. The measured emissions reveal seasonal patterns and management effects, including fertilizer application, tillage, harvest and grazing. The measured annual N₂O fluxes are 4.5, 0.4 and 0.1 kg N ha$^{-1}$ a$^{-1}$, and the CO₂ fluxes are 20.0, 12.2 and 3.0 t C ha$^{-1}$ a$^{-1}$ for the arable land, grassland and forest sites, respectively. An innovative model–data fusion concept based on a multicriteria evaluation (soil moisture at different depths, yield, CO₂ and N₂O emissions) is used to rigorously test the LandscapeDNDC biogeochemical model. The model is run in a Latin-hypercube-based uncertainty analysis framework to constrain model parameter uncertainty and derive behavioural model runs. The results indicate that the model is generally capable of predicting trace gas emissions, as evaluated with RMSE as the objective function. The model shows a reasonable performance in simulating the ecosystem C and N balances. The model–data fusion concept hel ... mehr


Zugehörige Institution(en) am KIT Fakultät für Physik (PHYSIK)
Institut für Meteorologie und Klimaforschung - Atmosphärische Umweltforschung (IMK-IFU)
Publikationstyp Zeitschriftenaufsatz
Jahr 2017
Sprache Englisch
Identifikator ISSN: 1726-4170, 1726-4189
URN: urn:nbn:de:swb:90-729453
KITopen ID: 1000072945
HGF-Programm 12.02.01; LK 01
Erschienen in Biogeosciences
Band 14
Heft 14
Seiten 3487-3508
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