Improved Representations of Land‐Atmosphere Interactions Over the Continental U.S. Through Dynamic Root Modeling Article Swipe
YOU?
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· 2025
· Open Access
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· DOI: https://doi.org/10.1029/2024ms004474
Previous studies have identified the oversimplified root system representation as a key factor leading to inaccuracies in vegetation‐atmosphere feedbacks. In this study, a dynamic root water uptake scheme in the Noah‐MP land surface model has been coupled to the Weather Research and Forecasting (WRF) model to investigate its impact on the surface hydroclimate variables and land‐atmosphere interactions. To evaluate the impact of the dynamic root, two coupled simulations were conducted, one with the dynamic root water uptake scheme (DynRt) and one with the static root water uptake scheme (StcRt), which is based on the default root representation in Noah‐MP, with slight modifications, primarily in vegetation‐related parameters. Both DynRt and StcRt simulations were conducted with a small ensemble of three members to account for variations in physical parameterizations, initial and boundary forcing and model setup. When compared with reference data sets, the DynRt simulations show improved results than the StcRt simulations, reducing biases in the simulated leaf area index, surface energy fluxes, soil moisture and precipitation. Two different mechanisms through which roots affect land‐atmosphere coupling have been identified. Over the transitional climate zone between the dry and wet climate, the dynamic root scheme affects surface climate and land‐atmosphere coupling mainly through changes in soil moisture through hydraulic redistribution by plant root system. Over the energy‐limited mesic zone, the dynamic root affects regional land‐atmosphere coupling mainly through changes in carbon allocation. This work highlights the importance of dynamic root representation in improving vegetation‐atmosphere simulations by enhancing predictions of water, energy, and carbon fluxes.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1029/2024ms004474
- https://onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2024MS004474
- OA Status
- gold
- References
- 85
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4411750354
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4411750354Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1029/2024ms004474Digital Object Identifier
- Title
-
Improved Representations of Land‐Atmosphere Interactions Over the Continental U.S. Through Dynamic Root ModelingWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-06-28Full publication date if available
- Authors
-
Zhao Yang, Guo‐Yue Niu, Yun Qian, Larry K. Berg, Jerome D. Fast, Colleen Kaul, Jingyi Chen, Kôichi Sakaguchi, Sheng‐Lun Tai, Brian Gaudet, Ye Liu, Heng XiaoList of authors in order
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https://doi.org/10.1029/2024ms004474Publisher landing page
- PDF URL
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2024MS004474Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
- OA URL
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2024MS004474Direct OA link when available
- Concepts
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Atmosphere (unit), Root (linguistics), Environmental science, Atmospheric sciences, Geology, Meteorology, Physics, Philosophy, LinguisticsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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85Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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