TY - CONF
T1 - Parametric constraints across process-based models in simulating nitrous oxide emissions from arable fields.
AU - Khalil, MI
AU - Osborne, B
AU - Abdalla, Mohamed
AU - Lanigan, Gary
AU - Williams, M
AU - Mueller, Christoph
N1 - Acknowledgements: The Irish Environmental Protection Agency (EPA) for funding this project through STRIVE/NDP (2007-2013)
The 19th Nitrogen workshop was arranged in Skara, Sweden, by the Swedish University of Agricultural Sciences (SLU) supported by International Nitrogen Initiative (INI) Europe.
The workshop had a scientific program with 26 oral presentations and 192 poster presentations from more than 30 countries around the world addressing important issues on efficient use of nitrogen in agriculture at different scales, from system approaches to the fine tuning of specific parts of the agricultural management.
PY - 2016
Y1 - 2016
N2 - 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.
AB - 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.
M3 - Unpublished paper
SP - 366
EP - 367
T2 - Efficient use of different sources of nitrogen in agriculture–from theory to practice
Y2 - 27 June 2016 through 29 June 2016
ER -