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

Houska, Tobias; Kraus, David ORCID iD icon 1; Kiese, Ralf ORCID iD icon 1; Breuer, Lutz
1 Karlsruher Institut für Technologie (KIT)

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 helps to detect remaining model errors, such as missing (e.g. ... mehr


Volltext §
DOI: 10.5445/IR/1000072945
Originalveröffentlichung
DOI: 10.5194/bg-14-3487-2017
Scopus
Zitationen: 13
Web of Science
Zitationen: 13
Dimensions
Zitationen: 15
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung – Atmosphärische Umweltforschung (IMK-IFU)
KIT-Zentrum Klima und Umwelt (ZKU)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2017
Sprache Englisch
Identifikator ISSN: 1726-4170, 1726-4189
urn:nbn:de:swb:90-729453
KITopen-ID: 1000072945
HGF-Programm 12.02.01 (POF III, LK 01) Effects of land use and climate change
Erschienen in Biogeosciences
Verlag Copernicus Publications
Band 14
Heft 14
Seiten 3487-3508
Nachgewiesen in Dimensions
Scopus
Web of Science
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