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

Abstract

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 capturingmore » 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.« less

Authors:
ORCiD logo [1];  [1];  [2]; ORCiD logo [3];  [4];  [4]
  1. Univ. of Texas, Austin, TX (United States). The John A. and Katherine G. Jackson School of Geosciences, Dept. of Geological Sciences
  2. California Inst. of Technology (CalTech), La Canada Flintridge, CA (United States). Jet Propulsion Lab.; Univ. of California, Los Angeles, CA (United States). Joint Inst. for Regional Earth System Science and Engineering (JIFRESSE)
  3. Pacific Northwest National Lab. (PNNL), Richland, WA (United States). Joint Global Change Research Inst.
  4. National Center for Atmospheric Research, Boulder, CO (United States). Research Applications Lab.
Publication Date:
Research Org.:
Pacific Northwest National Laboratory (PNNL), Richland, WA (United States); Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC); National Aeronautics and Space Administration (NASA); National Science Foundation (NSF)
OSTI Identifier:
1406806
Alternate Identifier(s):
OSTI ID: 1474913
Report Number(s):
PNNL-SA-119139
Journal ID: ISSN 1991-9603; TRN: US1702911
Grant/Contract Number:  
AC05-76RL01830; FCO2-07ER64494; AC02-05CH11231
Resource Type:
Accepted Manuscript
Journal Name:
Geoscientific Model Development (Online)
Additional Journal Information:
Journal Name: Geoscientific Model Development (Online); Journal Volume: 9; Journal Issue: 1; Journal ID: ISSN 1991-9603
Publisher:
European Geosciences Union
Country of Publication:
United States
Language:
English
Subject:
58 GEOSCIENCES; Mississippi River; Carbon Fluxes; United-States; Resolution; Biosphere; Exchange; Impacts; Balance; Export; Cycle

Citation Formats

Cai, X., Yang, Z. -L., Fisher, J. B., Zhang, X., Barlage, M., and Chen, F. Integration of nitrogen dynamics into the Noah-MP land surface model v1.1 for climate and environmental predictions. United States: N. p., 2016. Web. doi:10.5194/gmd-9-1-2016.
Cai, X., Yang, Z. -L., Fisher, J. B., Zhang, X., Barlage, M., & Chen, F. Integration of nitrogen dynamics into the Noah-MP land surface model v1.1 for climate and environmental predictions. United States. https://doi.org/10.5194/gmd-9-1-2016
Cai, X., Yang, Z. -L., Fisher, J. B., Zhang, X., Barlage, M., and Chen, F. Fri . "Integration of nitrogen dynamics into the Noah-MP land surface model v1.1 for climate and environmental predictions". United States. https://doi.org/10.5194/gmd-9-1-2016. https://www.osti.gov/servlets/purl/1406806.
@article{osti_1406806,
title = {Integration of nitrogen dynamics into the Noah-MP land surface model v1.1 for climate and environmental predictions},
author = {Cai, X. and Yang, Z. -L. and Fisher, J. B. and Zhang, X. and Barlage, M. and Chen, F.},
abstractNote = {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.},
doi = {10.5194/gmd-9-1-2016},
journal = {Geoscientific Model Development (Online)},
number = 1,
volume = 9,
place = {United States},
year = {Fri Jan 15 00:00:00 EST 2016},
month = {Fri Jan 15 00:00:00 EST 2016}
}

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