Articles | Volume 15, issue 8
https://doi.org/10.5194/gmd-15-3405-2022
© Author(s) 2022. 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-15-3405-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Improved runoff simulations for a highly varying soil depth and complex terrain watershed in the Loess Plateau with the Community Land Model version 5
Jiming Jin
CORRESPONDING AUTHOR
Hubei Key Laboratory of Petroleum Geochemistry and Environment,
Yangtze University, Wuhan 430100, Hubei, China
College of Resources and Environment, Yangtze University, Wuhan
430100, Hubei, China
Lei Wang
College of Water Resources and Architectural Engineering, Northwest A & F University, Yangling 712100, Shaanxi, China
Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A & F University,
Yangling 712100, Shaanxi, China
Jie Yang
College of Water Resources and Architectural Engineering, Northwest A & F University, Yangling 712100, Shaanxi, China
Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A & F University,
Yangling 712100, Shaanxi, China
Bingcheng Si
Department of Soil Science, University of Saskatchewan, Saskatoon, SK S7N 5A8, Canada
Guo-Yue Niu
Biosphere 2, the University of Arizona, Tucson, AZ 85623, USA
Department of Hydrology and Water Resources, University of Arizona,
Tucson, AZ 85721, USA
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Most hydrological models tend to underestimate snow over the southwest US mountains. This includes inaccurate precipitation input and/or inadequate representations of snow-vegetation interactions that strongly affect snow accumulation/melt due to the important but counteracting effects of interception and shading of the vegetation canopy. Through model experiments, we show the importance of downscaling and vegetation shading effects to improve the accuracy of snow modeling over the southwest US.
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Soil moisture memory (SMM) shows how long soil stays moist after rain, impacting climate and ecosystems. Current models often overestimate SMM, causing inaccuracies in evaporation predictions. We enhanced a land model, Noah-MP, to include better water flow and ponding processes, and we tested it against satellite and field data. This improved model reduced overestimations and enhanced short-term predictions, helping create more accurate climate and weather forecasts.
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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.
Han Fu, Eric J. Neil, Huijie Li, and Bingcheng Si
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Manuscript not accepted for further review
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Current hydrological models segregate water and isotope transport within soil. Thus, MOIST, a MATLAB-based one-dimensional isotope and soil water transport model, was developed. Results indicated that MOIST had good performances on simulating transport of isotope and water within soil under theoretical and realistic conditions, even outperformed than HYDRUS-1D. Suggesting a great potential of MOIST in promoting understandings of ecohydrological processes in terrestrial ecosystems.
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Evaporation led to progressively more heavy-isotope-enriched bulk soil water (BW) following the precipitation/irrigation of heavy-isotope-depleted new water but causes progressively more heavy-isotope-depleted BW following irrigation of heavy-isotope-enriched new water. The results indicated that δ2H and δ18O in evaporating water (EW) were similar to new water and differed from BW. However, the evaporative water loss calculated from BW did not differ significantly from that of EW.
Wei Hu and Bing Si
Hydrol. Earth Syst. Sci., 25, 321–331, https://doi.org/10.5194/hess-25-321-2021, https://doi.org/10.5194/hess-25-321-2021, 2021
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Partial wavelet coherency method is improved to explore the bivariate relationships at different scales and locations after excluding the effects of other variables. The method was tested with artificial datasets and applied to a measured dataset. Compared with others, this method has the advantages of capturing phase information, dealing with multiple excluding variables, and producing more accurate results. This method can be used in different areas with spatial or temporal datasets.
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Short summary
This study aimed to improve runoff simulations and explore deep soil hydrological processes for a highly varying soil depth and complex terrain watershed in the Loess Plateau, China. The actual soil depths and river channels were incorporated into the model to better simulate the runoff in this watershed. The soil evaporation scheme was modified to better describe the evaporation processes. Our results showed that the model significantly improved the runoff simulations.
This study aimed to improve runoff simulations and explore deep soil hydrological processes for...