NMH-CS 3.0: a C# programming language and Windows-system-based ecohydrological model derived from Noah-MP Article Swipe
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.5194/gmd-18-3157-2025
The community Noah with multi-parameterization options (Noah-MP) land surface model (LSM) is widely used in studies ranging from uncoupled land surface hydrometeorology and ecohydrology to coupled weather and climate predictions. In this study, we developed NMH-CS 3.0, a hydrological model written in C# (pronounced C sharp). NMH-CS 3.0 is a new model developed by faithfully translating Noah-MP, written in Fortran, from the uncoupled WRF-Hydro 3.0, and it is coupled with a river routing model. NMH-CS has the capacity to be executed on Windows systems, utilizing the multi-core CPUs commonly available in today's personal computers. The code of NMH-CS has been tested to ensure that it produces a high degree of consistency with the output of the original WRF-Hydro. High-resolution (6 km) simulations were conducted and assessed over a grid domain covering the entire Yellow River basin and most of northern China. The spatial maps and temporal variations in many state variables simulated by NMH-CS 3.0 and WRF-Hydro/Noah-MP demonstrate highly consistent results, occasionally with minor discrepancies. The river discharge for the Yellow River simulated by the new model with various scheme combinations of six parameterizations exhibits general agreement with the natural river discharge at the Lanzhou station. NMH-CS can be regarded as a reliable replica of Noah-MP in WRF-Hydro 3.0, but it can leverage the modern, powerful, and user-friendly features brought by the C# language to significantly improve the efficiency of the model's users and developers.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.5194/gmd-18-3157-2025
- https://gmd.copernicus.org/articles/18/3157/2025/gmd-18-3157-2025.pdf
- OA Status
- gold
- References
- 27
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- 10
- OpenAlex ID
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Raw OpenAlex JSON
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https://openalex.org/W4410834709Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.5194/gmd-18-3157-2025Digital Object Identifier
- Title
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NMH-CS 3.0: a C# programming language and Windows-system-based ecohydrological model derived from Noah-MPWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2025Year of publication
- Publication date
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2025-05-28Full publication date if available
- Authors
-
Yonghe Liu, Zong‐Liang YangList of authors in order
- Landing page
-
https://doi.org/10.5194/gmd-18-3157-2025Publisher landing page
- PDF URL
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https://gmd.copernicus.org/articles/18/3157/2025/gmd-18-3157-2025.pdfDirect link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://gmd.copernicus.org/articles/18/3157/2025/gmd-18-3157-2025.pdfDirect OA link when available
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Computer science, Programming language, Parallel computing, Environmental science, Meteorology, Operating system, GeographyTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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27Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.reliable | 203 |
| abstract_inverted_index.results, | 161 |
| abstract_inverted_index.station. | 196 |
| abstract_inverted_index.systems, | 84 |
| abstract_inverted_index.temporal | 146 |
| abstract_inverted_index.(Noah-MP) | 7 |
| abstract_inverted_index.Abstract. | 0 |
| abstract_inverted_index.WRF-Hydro | 64, 208 |
| abstract_inverted_index.agreement | 187 |
| abstract_inverted_index.available | 90 |
| abstract_inverted_index.community | 2 |
| abstract_inverted_index.conducted | 124 |
| abstract_inverted_index.developed | 35, 53 |
| abstract_inverted_index.discharge | 168, 192 |
| abstract_inverted_index.powerful, | 216 |
| abstract_inverted_index.simulated | 152, 173 |
| abstract_inverted_index.uncoupled | 19, 63 |
| abstract_inverted_index.utilizing | 85 |
| abstract_inverted_index.variables | 151 |
| abstract_inverted_index.WRF-Hydro. | 118 |
| abstract_inverted_index.computers. | 94 |
| abstract_inverted_index.consistent | 160 |
| abstract_inverted_index.efficiency | 229 |
| abstract_inverted_index.faithfully | 55 |
| abstract_inverted_index.multi-core | 87 |
| abstract_inverted_index.variations | 147 |
| abstract_inverted_index.(pronounced | 44 |
| abstract_inverted_index.consistency | 111 |
| abstract_inverted_index.demonstrate | 158 |
| abstract_inverted_index.developers. | 235 |
| abstract_inverted_index.simulations | 122 |
| abstract_inverted_index.translating | 56 |
| abstract_inverted_index.combinations | 181 |
| abstract_inverted_index.ecohydrology | 24 |
| abstract_inverted_index.hydrological | 39 |
| abstract_inverted_index.occasionally | 162 |
| abstract_inverted_index.predictions. | 30 |
| abstract_inverted_index.significantly | 226 |
| abstract_inverted_index.user-friendly | 218 |
| abstract_inverted_index.discrepancies. | 165 |
| abstract_inverted_index.High-resolution | 119 |
| abstract_inverted_index.hydrometeorology | 22 |
| abstract_inverted_index.WRF-Hydro/Noah-MP | 157 |
| abstract_inverted_index.parameterizations | 184 |
| abstract_inverted_index.multi-parameterization | 5 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 2 |
| citation_normalized_percentile.value | 0.19999042 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |