Improved representations of land-atmosphere interactions over the Continental U.S. through dynamic root modeling

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Recent studies have shown that direct root water uptake from the capillary fringe and groundwater can lead to transpiration that is greater than precipitation by a factor of 10 in hyper-arid conditions. 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 climate variables and land-atmosphere interactions. Different from the traditional big-leaf approach that parameterizes transpiration as function of soil moisture states, the root water uptake scheme explicitly represents plant water storage and its impact on transpiration. The dynamic root scheme shows promising results by alleviating biases in the simulated gross primary product, leaf area index, precipitation, temperature, surface energy fluxes, and soil moisture. Two different mechanisms through which root affects land-atmosphere coupling have been identified. Over the transitional climate zone between the dry and wet climate, the dynamic root 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. Deficiency in evapotranspiration partitioning is identified, underscoring the need for future improvement.
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Improved representations of land-atmosphere interactions over the Continental U.S. through dynamic root modeling | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL This is a preprint and has not been peer reviewed. Data may be preliminary. 1 April 2025 V1 Latest version Share on Improved representations of land-atmosphere interactions over the Continental U.S. through dynamic root modeling Authors : Zhao Yang 0000-0002-8802-7130 [email protected] , Guoyue Niu 0000-0003-2105-7690 , Yun Qian 0000-0003-4821-1934 , Larry K Berg 0000-0002-3362-9492 , Jerome Fast 0000-0002-2006-5675 , Colleen M Kaul 0000-0002-4462-0987 , Jingyi Chen 0000-0001-6347-5677 , Koichi Sakaguchi 0000-0001-9672-6364 , Sheng-Lun Tai 0000-0002-9492-7979 , Brian J Gaudet 0000-0002-9955-1501 , Ye Liu 0000-0001-5131-8412 , and Heng Xiao 0000-0003-1544-8353 Authors Info & Affiliations https://doi.org/10.22541/au.174352852.28126985/v1 Published Journal of Advances in Modeling Earth Systems Version of record Peer review timeline 295 views 138 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract Recent studies have shown that direct root water uptake from the capillary fringe and groundwater can lead to transpiration that is greater than precipitation by a factor of 10 in hyper-arid conditions. 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 climate variables and land-atmosphere interactions. Different from the traditional big-leaf approach that parameterizes transpiration as function of soil moisture states, the root water uptake scheme explicitly represents plant water storage and its impact on transpiration. The dynamic root scheme shows promising results by alleviating biases in the simulated gross primary product, leaf area index, precipitation, temperature, surface energy fluxes, and soil moisture. Two different mechanisms through which root affects land-atmosphere coupling have been identified. Over the transitional climate zone between the dry and wet climate, the dynamic root 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. Deficiency in evapotranspiration partitioning is identified, underscoring the need for future improvement. Supplementary Material File (996797_0_merged_1716515051.pdf) Download 2.57 MB File (manuscript_final_combined.docx) Download 4.85 MB Information & Authors Information Version history V1 Version 1 01 April 2025 Peer review timeline Published Journal of Advances in Modeling Earth Systems Version of Record 28 Jun 2025 Published Copyright This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License Keywords agricultural atmospheric sciences climatology (global change) land surface modeling land-atmosphere interaction root dynamics Authors Affiliations Zhao Yang 0000-0002-8802-7130 [email protected] Pacific Northwest National Laboratory View all articles by this author Guoyue Niu 0000-0003-2105-7690 University of Arizona View all articles by this author Yun Qian 0000-0003-4821-1934 Pacific Northwest National Laboratory (DOE) View all articles by this author Larry K Berg 0000-0002-3362-9492 Pacific Northwest National Laboratory (DOE) View all articles by this author Jerome Fast 0000-0002-2006-5675 PNNL View all articles by this author Colleen M Kaul 0000-0002-4462-0987 Pacific Northwest National Laboratory View all articles by this author Jingyi Chen 0000-0001-6347-5677 Nanjing University of Information Science and Technology View all articles by this author Koichi Sakaguchi 0000-0001-9672-6364 Pacific Northwest National Laboratory (DOE) View all articles by this author Sheng-Lun Tai 0000-0002-9492-7979 Pacific Northwest National Laboratory (DOE) View all articles by this author Brian J Gaudet 0000-0002-9955-1501 Pacific Northwest National Laboratory View all articles by this author Ye Liu 0000-0001-5131-8412 Pacific Northwest National Laboratory (DOE) View all articles by this author Heng Xiao 0000-0003-1544-8353 Pacific Northwest National Laboratory (DOE) View all articles by this author Funding Information U.S. Department of Energy Metrics & Citations Metrics Article Usage 295 views 138 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Zhao Yang, Guoyue Niu, Yun Qian, et al. Improved representations of land-atmosphere interactions over the Continental U.S. through dynamic root modeling. Authorea . 01 April 2025. DOI: https://doi.org/10.22541/au.174352852.28126985/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download. For more information or tips please see 'Downloading to a citation manager' in the Help menu . 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