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DOI | 10.1029/2019JD030417 |
Assessing Noah-MP Parameterization Sensitivity and Uncertainty Interval Across Snow Climates | |
You Y.; Huang C.; Yang Z.; Zhang Y.; Bai Y.; Gu J. | |
发表日期 | 2020 |
ISSN | 2169897X |
卷号 | 125期号:4 |
英文摘要 | This study assessed the sensitivity and uncertainty interval of the Noah land surface model with multiparameterization (Noah-MP) using observed meteorological data from eight sites with different snow climates. A total number of 20,736 Noah-MP physics-ensemble simulations was conducted for each site by combining different parameterization schemes of physical processes. A natural selection approach and Tukey's test were used to analyze the sensitivity of simulated snow depth to parameterization schemes. The sensitivity of parameterizations at each site was discussed, and the uncertainty interval of sensitive parameterizations was further explored. The results of sensitivity analyses showed the following. The parameterizations for the first-layer snow or soil temperature time scheme, the lower boundary condition of soil temperature, and the partitioning of precipitation into rainfall and snowfall showed sensitivity at all sites. Snow surface albedo parameterizations showed sensitivity at all sites except for two sites in China. Parameterizations for vegetation canopy and canopy stomatal resistance showed sensitivity at some sites. Further comparative results indicated that uncertainties in multiparameterization ensemble simulations were mainly due to sensitive parameterizations under the condition of disregarding the uncertainties from forcing and parameters. After removing the sensitive parameterization schemes that were notably poor-performing, the uncertainty interval in the ensemble simulations decreased significantly. Finally, we concluded that an optimal combination group of well-performed sensitive parameterization schemes can be configured based on the results of sensitivity analysis. ©2020. American Geophysical Union. All Rights Reserved. |
英文关键词 | multiparameterization ensemble simulation; sensitivity analysis; uncertainty analysis |
语种 | 英语 |
来源期刊 | Journal of Geophysical Research: Atmospheres |
来源机构 | 中国科学院西北生态环境资源研究院 |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/186180 |
作者单位 | Key Laboratory of Remote Sensing of Gansu Province, Heihe Remote Sensing Experimental Research Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China; Department of Geological Sciences, Jackson School of Geosciences, The University of Texas at Austin, Austin, TX, United States; College of Physics and Electronic Engineering, Northwest Normal University, Lanzhou, China; Key Laboratory of Western China's Environmental Systems (Ministry of Education), Lanzhou University, Lanzhou, China |
推荐引用方式 GB/T 7714 | You Y.,Huang C.,Yang Z.,et al. Assessing Noah-MP Parameterization Sensitivity and Uncertainty Interval Across Snow Climates[J]. 中国科学院西北生态环境资源研究院,2020,125(4). |
APA | You Y.,Huang C.,Yang Z.,Zhang Y.,Bai Y.,&Gu J..(2020).Assessing Noah-MP Parameterization Sensitivity and Uncertainty Interval Across Snow Climates.Journal of Geophysical Research: Atmospheres,125(4). |
MLA | You Y.,et al."Assessing Noah-MP Parameterization Sensitivity and Uncertainty Interval Across Snow Climates".Journal of Geophysical Research: Atmospheres 125.4(2020). |
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