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Multimodel Evaluation of Nitrous Oxide Emissions From an Intensively Managed Grassland

Fuchs, Kathrin 1; Merbold, Lutz; Buchmann, Nina; Bretscher, Daniel; Brilli, Lorenzo; Fitton, Nuala; Topp, Cairistiona F. E.; Klumpp, Katja; Lieffering, Mark; Martin, Raphaël; Newton, Paul C. D.; Rees, Robert M.; Rolinski, Susanne; Smith, Pete; Snow, Val
1 Institut für Meteorologie und Klimaforschung – Atmosphärische Umweltforschung (IMK-IFU), Karlsruher Institut für Technologie (KIT)


Process‐based models are useful for assessing the impact of changing management practices and climate on yields and greenhouse gas (GHG) emissions from agricultural systems such as grasslands. They can be used to construct national GHG inventories using a Tier 3 approach. However, accurate simulations of nitrous oxide (N$_{2}$O) fluxes remain challenging. Models are limited by our understanding of soil‐plant‐microbe interactions and the impact of uncertainty in measured input parameters on simulated outputs. To improve model performance, thorough evaluations against in situ measurements are needed. Experimental data of N$_{2}$O emissions under two management practices (control with typical fertilization versus increased clover and no fertilization) were acquired in a Swiss field experiment. We conducted a multimodel evaluation with three commonly used biogeochemical models (DayCent in two variants, PaSim, APSIM in two variants) comparing four years of data. DayCent was the most accurate model for simulating N$_{2}$O fluxes on annual timescales, while APSIM was most accurate for daily N$_{2}$O fluxes. The multimodel ensemble average reduced the error in estimated annual fluxes by 41% compared to an estimate using the Intergovernmental Panel on Climate Change (IPCC)‐derived method for the Swiss agricultural GHG inventory (IPCC‐Swiss), but individual models were not systematically more accurate than IPCC‐Swiss. ... mehr

Verlagsausgabe §
DOI: 10.5445/IR/1000120954
Veröffentlicht am 04.07.2020
DOI: 10.1029/2019JG005261
Zitationen: 20
Zitationen: 21
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
Publikationsmonat/-jahr 01.2020
Sprache Englisch
Identifikator ISSN: 2169-8953, 2169-8961
KITopen-ID: 1000120954
HGF-Programm 12.02.01 (POF III, LK 01) Effects of land use and climate change
Erschienen in Journal of geophysical research / Biogeosciences
Verlag John Wiley and Sons
Band 125
Heft 1
Seiten e2019JG005261
Vorab online veröffentlicht am 18.12.2019
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