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Volume 9, issue 1 | Copyright
Geosci. Model Dev., 9, 1-15, 2016
https://doi.org/10.5194/gmd-9-1-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Development and technical paper 15 Jan 2016

Development and technical paper | 15 Jan 2016

Integration of nitrogen dynamics into the Noah-MP land surface model v1.1 for climate and environmental predictions

X. Cai1,a, Z.-L. Yang1, J. B. Fisher2,3, X. Zhang4, M. Barlage5, and F. Chen5 X. Cai et al.
  • 1Department of Geological Sciences, The John A. and Katherine G. Jackson School of Geosciences, The University of Texas at Austin, Austin, Texas, USA
  • 2Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California, USA
  • 3Joint Institute for Regional Earth System Science and Engineering (JIFRESSE), University of California at Los Angeles, Los Angeles, California, USA
  • 4Joint Global Change Research Institute, Pacific Northwest National Laboratory and University of Maryland, College Park, Maryland, USA
  • 5Research Applications Laboratory, National Center for Atmospheric Research, Boulder, Colorado, USA
  • anow at: Department of Civil and Environmental Engineering, Princeton University, Princeton, New Jersey, USA

Abstract. Climate and terrestrial biosphere models consider nitrogen an important factor in limiting plant carbon uptake, while operational environmental models view nitrogen as the leading pollutant causing eutrophication in water bodies. The community Noah land surface model with multi-parameterization options (Noah-MP) is unique in that it is the next-generation land surface model for the Weather Research and Forecasting meteorological model and for the operational weather/climate models in the National Centers for Environmental Prediction. In this study, we add a capability to Noah-MP to simulate nitrogen dynamics by coupling the Fixation and Uptake of Nitrogen (FUN) plant model and the Soil and Water Assessment Tool (SWAT) soil nitrogen dynamics. This model development incorporates FUN's state-of-the-art concept of carbon cost theory and SWAT's strength in representing the impacts of agricultural management on the nitrogen cycle. Parameterizations for direct root and mycorrhizal-associated nitrogen uptake, leaf retranslocation, and symbiotic biological nitrogen fixation are employed from FUN, while parameterizations for nitrogen mineralization, nitrification, immobilization, volatilization, atmospheric deposition, and leaching are based on SWAT. The coupled model is then evaluated at the Kellogg Biological Station – a Long Term Ecological Research site within the US Corn Belt. Results show that the model performs well in capturing the major nitrogen state/flux variables (e.g., soil nitrate and nitrate leaching). Furthermore, the addition of nitrogen dynamics improves the modeling of net primary productivity and evapotranspiration. The model improvement is expected to advance the capability of Noah-MP to simultaneously predict weather and water quality in fully coupled Earth system models.

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A terrestrial nitrogen dynamics model is integrated into Noah-MP. The new model performs well in capturing the major nitrogen state/flux variables (e.g., soil nitrate and nitrate leaching). The addition of nitrogen dynamics improves the modeling of net primary productivity and evapotranspiration. This improvement advances the capability of Noah-MP to simultaneously predict weather and water quality.
A terrestrial nitrogen dynamics model is integrated into Noah-MP. The new model performs well in...
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