Parametric constraints across process-based models in simulating nitrous oxide emissions from arable fields.

MI Khalil, B Osborne, Mohamed Abdalla, Gary Lanigan, M Williams, Christoph Mueller

Research output: Contribution to conferenceUnpublished paper

Abstract

The development and selection of process-based models requiring a limited number of readily available input parameters for accurate quantification of agricultural greenhouse gas (GHG) emissions and the identification of mitigation options is a significant objective. Of particular importance is the quantification of the fluxes of nitrous oxide (N2O), a potent and stratospheric reactant having a large emission uncertainty. Several models are currently used to predict a GHG emissions in different ecosystems, DNDC [1], DailyDayCent[2] and ECOSSE [3]. In Ireland, some models have been tested/validated but the results have not been sufficiently robust for use in the inventory process. The availability of multi-year N2O flux data and input parameters measured at field scale facilitated model comparison exercises. The main objectives were to simulate daily N2O emissions using common input parameters, evaluate their seasonal/annual fluxes and emission factors (EF) together with an examination of differences between model outputs and measured datasets.
Original languageEnglish
Pages366-367
Number of pages2
Publication statusPublished - 2016
EventEfficient use of different sources of nitrogen in agriculture–from theory to practice - Skara, Sweden
Duration: 27 Jun 201629 Jun 2016

Conference

ConferenceEfficient use of different sources of nitrogen in agriculture–from theory to practice
Period27/06/1629/06/16

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