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Data from: Underestimation of N2O emissions in a comparison of the DayCent, DNDC, and EPIC 1 models

    Process-based models are increasingly used to study mass and energy fluxes from agro-ecosystems, including nitrous oxide (N2O) emissions from agricultural fields. This data set is the output of three process-based models – DayCent, DNDC, and EPIC – which were used to simulate fluxes of N2O from dairy farm soils. The individual models' output and the ensemble mean output were evaluated against field observations from two agricultural research stations in Arlington, WI and Marshfield, WI. These sites utilize cropping systems and nitrogen fertilizer management strategies common to Midwest dairy farms.

    Agricultural Model Intercomparison and Improvement Project (AgMIP) Tools

      Agricultural Model Intercomparison and Improvement Project (AgMIP) datasets are stored in the harmonized AgMIP Crop Experiment (ACE) format. Translation tools available for download at [http://tools.agmip.org/](http://tools.agmip.org/) allow re-formatting of the data to model-specific formats for various crop simulation models.

      Agricultural Model Intercomparison and Improvement Project (AgMIP) Datasets

        Site-based crop modeling data from field experiments, farm surveys, and yield trials. These data are in AgMIP harmonized format, ready for translation to multiple crop model formats using the data translation tools at [http://tools.agmip.org/](http://tools.agmip.org/). Details on AgMIP can be found at [http://www.agmip.org/](http://www.agmip.org/).