Articles | Volume 16, issue 17
https://doi.org/10.5194/gmd-16-5131-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-16-5131-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
08 Sep 2023
Model description paper |
| 08 Sep 2023
| 08 Sep 2023
Modernizing the open-source community Noah with multi-parameterization options (Noah-MP) land surface model (version 5.0) with enhanced modularity, interoperability, and applicability
National Center for Atmospheric Research (NCAR), Boulder, Colorado,
USA
Prasanth Valayamkunnath
National Center for Atmospheric Research (NCAR), Boulder, Colorado,
USA
Indian Institute of Science Education and Research, Thiruvananthapuram,
India
Michael Barlage
NOAA Environmental Modeling Center (EMC), College Park, Maryland, USA
Fei Chen
National Center for Atmospheric Research (NCAR), Boulder, Colorado,
USA
David Gochis
National Center for Atmospheric Research (NCAR), Boulder, Colorado,
USA
Ryan Cabell
National Center for Atmospheric Research (NCAR), Boulder, Colorado,
USA
Tim Schneider
National Center for Atmospheric Research (NCAR), Boulder, Colorado,
USA
Roy Rasmussen
National Center for Atmospheric Research (NCAR), Boulder, Colorado,
USA
Guo-Yue Niu
Department of Hydrology and Atmospheric Sciences, University of Arizona, Tucson, Arizona, USA
Zong-Liang Yang
Department of Earth and Planetary Sciences, University of Texas Austin, Austin, Texas, USA
Dev Niyogi
Department of Earth and Planetary Sciences, University of Texas Austin, Austin, Texas, USA
Michael Ek
National Center for Atmospheric Research (NCAR), Boulder, Colorado,
USA
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Cited
10 citations as recorded by crossref.
- Estimating groundwater recharge across Africa during 2003–2023 using GRACE-derived groundwater storage changes V. Ferreira et al. 10.1016/j.ejrh.2024.102046
- Land-surface-physics-based downscaling versus conventional dynamical downscaling for high-resolution urban climate change information: The case study of two cities L. Xue et al. 10.1016/j.uclim.2024.102228
- The agricultural expansion in South America's Dry Chaco: regional hydroclimate effects M. Bracalenti et al. 10.5194/hess-28-3281-2024
- US Corn Belt enhances regional precipitation recycling Z. Zhang et al. 10.1073/pnas.2402656121
- Land Surface Physics-Based Downscaling Approach for Agricultural Meteorological Prediction: Applicability for Tropical-Monsoon Region, the Red River Delta, Vietnam D. Nguyen et al. 10.2151/sola.2023-039
- Sensitivity analysis of snow depth and surface air temperature to various WRF/Noah-MP model configurations in Central Europe Á. Varga & H. Breuer 10.1016/j.atmosres.2024.107659
- Evaluation and development of surface layer scheme representation of temperature inversions over boreal forests in Arctic wintertime conditions J. Maillard et al. 10.5194/gmd-17-3303-2024
- Modeling land-atmosphere energy and water exchanges in the typical alpine grassland in Tibetan Plateau using Noah-MP N. Ma 10.1016/j.ejrh.2023.101596
- Assessment of snow simulation using Noah-MP land surface model forced by various precipitation sources in the Central Tianshan Mountains, Central Asia T. Yang et al. 10.1016/j.atmosres.2024.107251
- Global 1 km land surface parameters for kilometer-scale Earth system modeling L. Li et al. 10.5194/essd-16-2007-2024
10 citations as recorded by crossref.
- Estimating groundwater recharge across Africa during 2003–2023 using GRACE-derived groundwater storage changes V. Ferreira et al. 10.1016/j.ejrh.2024.102046
- Land-surface-physics-based downscaling versus conventional dynamical downscaling for high-resolution urban climate change information: The case study of two cities L. Xue et al. 10.1016/j.uclim.2024.102228
- The agricultural expansion in South America's Dry Chaco: regional hydroclimate effects M. Bracalenti et al. 10.5194/hess-28-3281-2024
- US Corn Belt enhances regional precipitation recycling Z. Zhang et al. 10.1073/pnas.2402656121
- Land Surface Physics-Based Downscaling Approach for Agricultural Meteorological Prediction: Applicability for Tropical-Monsoon Region, the Red River Delta, Vietnam D. Nguyen et al. 10.2151/sola.2023-039
- Sensitivity analysis of snow depth and surface air temperature to various WRF/Noah-MP model configurations in Central Europe Á. Varga & H. Breuer 10.1016/j.atmosres.2024.107659
- Evaluation and development of surface layer scheme representation of temperature inversions over boreal forests in Arctic wintertime conditions J. Maillard et al. 10.5194/gmd-17-3303-2024
- Modeling land-atmosphere energy and water exchanges in the typical alpine grassland in Tibetan Plateau using Noah-MP N. Ma 10.1016/j.ejrh.2023.101596
- Assessment of snow simulation using Noah-MP land surface model forced by various precipitation sources in the Central Tianshan Mountains, Central Asia T. Yang et al. 10.1016/j.atmosres.2024.107251
- Global 1 km land surface parameters for kilometer-scale Earth system modeling L. Li et al. 10.5194/essd-16-2007-2024
Latest update: 06 Jan 2025
Short summary
Noah-MP is one of the most widely used open-source community land surface models in the world, designed for applications ranging from uncoupled land surface and ecohydrological process studies to coupled numerical weather prediction and decadal climate simulations. To facilitate model developments and applications, we modernize Noah-MP by adopting modern Fortran code and data structures and standards, which substantially enhance model modularity, interoperability, and applicability.
Noah-MP is one of the most widely used open-source community land surface models in the world,...
