Articles | Volume 9, issue 1
https://doi.org/10.5194/gmd-9-1-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-9-1-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
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
Department of Geological Sciences, The John A. and
Katherine G. Jackson School of Geosciences, The University of Texas at
Austin, Austin, Texas, USA
now at: Department of Civil and Environmental Engineering,
Princeton University, Princeton, New Jersey, USA
Department of Geological Sciences, The John A. and
Katherine G. Jackson School of Geosciences, The University of Texas at
Austin, Austin, Texas, USA
J. B. Fisher
Jet Propulsion Laboratory, California Institute of
Technology, Pasadena, California, USA
Joint Institute for Regional Earth System Science and
Engineering (JIFRESSE), University of California at Los Angeles, Los
Angeles, California, USA
Joint Global Change Research Institute, Pacific Northwest
National Laboratory and University of Maryland, College Park, Maryland,
USA
M. Barlage
Research Applications Laboratory, National Center for
Atmospheric Research, Boulder, Colorado, USA
F. Chen
Research Applications Laboratory, National Center for
Atmospheric Research, Boulder, Colorado, USA
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Cited
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- Alteration in nitrogen cycle and its contribution to climate change: a review A. Anand et al. https://doi.org/10.1007/s43538-025-00545-5
- Disentangling the influence of precipitation on nitrogen loss in the Pearl River Basin X. Cai et al. https://doi.org/10.1016/j.jhydrol.2026.135809
- A Systematic Evaluation of Noah‐MP in Simulating Land‐Atmosphere Energy, Water, and Carbon Exchanges Over the Continental United States N. Ma et al. https://doi.org/10.1002/2017JD027597
- Response of urban vegetation carbon sinks to nitrogen reduction under future emission scenarios: A model study of Guangzhou J. Qin et al. https://doi.org/10.1016/j.jes.2026.105710
- A comprehensive review on coupled processes and mechanisms of soil-vegetation-hydrology, and recent research advances Z. Li et al. https://doi.org/10.1007/s11430-021-9990-5
- Simulating county‐level crop yields in the Conterminous United States using the Community Land Model: The effects of optimizing irrigation and fertilization G. Leng et al. https://doi.org/10.1002/2016MS000645
- Reactive nitrogen in and around the northeastern and mid-Atlantic US: sources, sinks, and connections with ozone M. Huang et al. https://doi.org/10.5194/acp-25-1449-2025
- An integrated modeling platform for land-coast-ocean continuum: The Gulf of America coastal hazards forecast system (GAm-CHFS) X. Zhao et al. https://doi.org/10.1016/j.envsoft.2026.107054
- Optimizing plant nutrient uptake: cost function sensitivity analysis of the FUN model G. Alpay et al. https://doi.org/10.1088/2752-664X/ae00cb
- An integrated framework to model nitrate contaminants with interactions of agriculture, groundwater, and surface water at regional scales: The STICS–EauDyssée coupled models applied over the Seine River Basin A. Tavakoly et al. https://doi.org/10.1016/j.jhydrol.2018.11.061
- Towards hyper-resolution land-surface modeling of surface and root zone soil moisture T. Rouf et al. https://doi.org/10.1016/j.jhydrol.2020.125945
- Modeling Global Carbon Costs of Plant Nitrogen and Phosphorus Acquisition R. Braghiere et al. https://doi.org/10.1029/2022MS003204
- Assessment and Reduction of the Physical Parameterization Uncertainty for Noah‐MP Land Surface Model Y. Gan et al. https://doi.org/10.1029/2019WR024814
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- Validation of SMAP soil moisture for the SMAPVEX15 field campaign using a hyper‐resolution model X. Cai et al. https://doi.org/10.1002/2016WR019967
- Modeling the Impacts of Nitrogen Dynamics on Regional Terrestrial Carbon and Water Cycles over China with Noah-MP-CN J. Liang et al. https://doi.org/10.1007/s00376-020-9231-6
- Simulating agroecosystem soil inorganic nitrogen dynamics under long-term management with an improved SWAT-C model K. Liang et al. https://doi.org/10.1016/j.scitotenv.2023.162906
- GP-SWAT (v1.0): a two-level graph-based parallel simulation tool for the SWAT model D. Zhang et al. https://doi.org/10.5194/gmd-14-5915-2021
- The integration of nitrogen dynamics into a land surface model. Part 1: model description and site-scale validation X. YANG et al. https://doi.org/10.1080/16742834.2019.1548246
- Improving physiological simulations in seasonally dry tropical forests with limited measurements I. e Silva et al. https://doi.org/10.1007/s00704-024-05050-1
- Representation of Plant Hydraulics in the Noah‐MP Land Surface Model: Model Development and Multiscale Evaluation L. Li et al. https://doi.org/10.1029/2020MS002214
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- Evaluation of streamflow simulation results of land surface models in GLDAS on the Tibetan plateau P. Bai et al. https://doi.org/10.1002/2016JD025501
- BioRT-Flux-PIHM v1.0: a biogeochemical reactive transport model at the watershed scale W. Zhi et al. https://doi.org/10.5194/gmd-15-315-2022
- 土壤<bold>-</bold>植被<bold>-</bold>水文耦合过程与机制研究进展 中. 李 et al. https://doi.org/10.1360/N072021-0358
- Improving hydrological simulations by incorporating GRACE data for model calibration P. Bai et al. https://doi.org/10.1016/j.jhydrol.2017.12.025
- Improving the Jarvis-type model with modified temperature and radiation functions for sap flow simulations H. Wang et al. https://doi.org/10.1016/j.jhydrol.2020.124981
- Emerging sensing, imaging, and computational technologies to scale nano-to macroscale rhizosphere dynamics – Review and research perspectives A. Ahkami et al. https://doi.org/10.1016/j.soilbio.2023.109253
- Identifying sensitive parameters of global major staple crops in the Noah-MP Crop model: Similarities and differences J. Fang et al. https://doi.org/10.1016/j.eja.2026.128289
- Studying the Influence of Nitrogen Deposition, Precipitation, Temperature, and Sunshine in Remotely Sensed Gross Primary Production Response in Switzerland M. Gómez Giménez et al. https://doi.org/10.3390/rs11091135
33 citations as recorded by crossref.
- Reconciling plant water stress response using vegetation and soil moisture data assimilation for vegetation-soil-hydrology interaction estimation over the Chinese Loess Plateau Z. Shu et al. https://doi.org/10.1016/j.agrformet.2025.110581
- Alteration in nitrogen cycle and its contribution to climate change: a review A. Anand et al. https://doi.org/10.1007/s43538-025-00545-5
- Disentangling the influence of precipitation on nitrogen loss in the Pearl River Basin X. Cai et al. https://doi.org/10.1016/j.jhydrol.2026.135809
- A Systematic Evaluation of Noah‐MP in Simulating Land‐Atmosphere Energy, Water, and Carbon Exchanges Over the Continental United States N. Ma et al. https://doi.org/10.1002/2017JD027597
- Response of urban vegetation carbon sinks to nitrogen reduction under future emission scenarios: A model study of Guangzhou J. Qin et al. https://doi.org/10.1016/j.jes.2026.105710
- A comprehensive review on coupled processes and mechanisms of soil-vegetation-hydrology, and recent research advances Z. Li et al. https://doi.org/10.1007/s11430-021-9990-5
- Simulating county‐level crop yields in the Conterminous United States using the Community Land Model: The effects of optimizing irrigation and fertilization G. Leng et al. https://doi.org/10.1002/2016MS000645
- Reactive nitrogen in and around the northeastern and mid-Atlantic US: sources, sinks, and connections with ozone M. Huang et al. https://doi.org/10.5194/acp-25-1449-2025
- An integrated modeling platform for land-coast-ocean continuum: The Gulf of America coastal hazards forecast system (GAm-CHFS) X. Zhao et al. https://doi.org/10.1016/j.envsoft.2026.107054
- Optimizing plant nutrient uptake: cost function sensitivity analysis of the FUN model G. Alpay et al. https://doi.org/10.1088/2752-664X/ae00cb
- An integrated framework to model nitrate contaminants with interactions of agriculture, groundwater, and surface water at regional scales: The STICS–EauDyssée coupled models applied over the Seine River Basin A. Tavakoly et al. https://doi.org/10.1016/j.jhydrol.2018.11.061
- Towards hyper-resolution land-surface modeling of surface and root zone soil moisture T. Rouf et al. https://doi.org/10.1016/j.jhydrol.2020.125945
- Modeling Global Carbon Costs of Plant Nitrogen and Phosphorus Acquisition R. Braghiere et al. https://doi.org/10.1029/2022MS003204
- Assessment and Reduction of the Physical Parameterization Uncertainty for Noah‐MP Land Surface Model Y. Gan et al. https://doi.org/10.1029/2019WR024814
- Tree‐mycorrhizal associations detected remotely from canopy spectral properties J. Fisher et al. https://doi.org/10.1111/gcb.13264
- Modernizing the open-source community Noah with multi-parameterization options (Noah-MP) land surface model (version 5.0) with enhanced modularity, interoperability, and applicability C. He et al. https://doi.org/10.5194/gmd-16-5131-2023
- Validation of SMAP soil moisture for the SMAPVEX15 field campaign using a hyper‐resolution model X. Cai et al. https://doi.org/10.1002/2016WR019967
- Modeling the Impacts of Nitrogen Dynamics on Regional Terrestrial Carbon and Water Cycles over China with Noah-MP-CN J. Liang et al. https://doi.org/10.1007/s00376-020-9231-6
- Simulating agroecosystem soil inorganic nitrogen dynamics under long-term management with an improved SWAT-C model K. Liang et al. https://doi.org/10.1016/j.scitotenv.2023.162906
- GP-SWAT (v1.0): a two-level graph-based parallel simulation tool for the SWAT model D. Zhang et al. https://doi.org/10.5194/gmd-14-5915-2021
- The integration of nitrogen dynamics into a land surface model. Part 1: model description and site-scale validation X. YANG et al. https://doi.org/10.1080/16742834.2019.1548246
- Improving physiological simulations in seasonally dry tropical forests with limited measurements I. e Silva et al. https://doi.org/10.1007/s00704-024-05050-1
- Representation of Plant Hydraulics in the Noah‐MP Land Surface Model: Model Development and Multiscale Evaluation L. Li et al. https://doi.org/10.1029/2020MS002214
- Comparison and evaluation of multiple land surface products for the water budget in the Yellow River Basin Y. Liu et al. https://doi.org/10.1016/j.jhydrol.2019.124534
- Ecological associations distribution modelling of marine plankton at a global scale M. Gaudin et al. https://doi.org/10.1098/rstb.2023.0169
- Evaluation of streamflow simulation results of land surface models in GLDAS on the Tibetan plateau P. Bai et al. https://doi.org/10.1002/2016JD025501
- BioRT-Flux-PIHM v1.0: a biogeochemical reactive transport model at the watershed scale W. Zhi et al. https://doi.org/10.5194/gmd-15-315-2022
- 土壤<bold>-</bold>植被<bold>-</bold>水文耦合过程与机制研究进展 中. 李 et al. https://doi.org/10.1360/N072021-0358
- Improving hydrological simulations by incorporating GRACE data for model calibration P. Bai et al. https://doi.org/10.1016/j.jhydrol.2017.12.025
- Improving the Jarvis-type model with modified temperature and radiation functions for sap flow simulations H. Wang et al. https://doi.org/10.1016/j.jhydrol.2020.124981
- Emerging sensing, imaging, and computational technologies to scale nano-to macroscale rhizosphere dynamics – Review and research perspectives A. Ahkami et al. https://doi.org/10.1016/j.soilbio.2023.109253
- Identifying sensitive parameters of global major staple crops in the Noah-MP Crop model: Similarities and differences J. Fang et al. https://doi.org/10.1016/j.eja.2026.128289
- Studying the Influence of Nitrogen Deposition, Precipitation, Temperature, and Sunshine in Remotely Sensed Gross Primary Production Response in Switzerland M. Gómez Giménez et al. https://doi.org/10.3390/rs11091135
Saved (final revised paper)
Latest update: 28 Oct 2026
Short summary
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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