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Validation of the global land data assimilation system based on measurements of soil temperature profiles
Wang, L (Wang, Lei)1,2; Li, XP (Li, Xiuping)1; Chen, YY (Chen, Yingying)1,2; Yang, K (Yang, Kun)1,2; Chen, DL (Chen, Deliang)3; Zhou, J (Zhou, Jing)1; Liu, WB (Liu, Wenbin)1; Qi, J (Qi, Jia)1; Huang, JB (Huang, Jianbin)4,5; Wang, L; Li, XP
Source PublicationAGRICULTURAL AND FOREST METEOROLOGY
2016
Volume218Issue:0Pages:288-297
DOI10.1016/j.agrformet.2016.01.003
AbstractSoil temperature is a key parameter in the soil-vegetation-atmosphere system. It plays an important role in the land surface water and energy cycles, and has a major influence on vegetation growth and other hydrological aspects. We evaluated the accuracy of the soil temperature profiles from the Global Land Data Assimilation System (GLDAS) using nine observational networks across the world and aimed to find a reliable global soil temperature profile dataset for future hydrological and ecological studies. In general, the soil temperature profile data generated by the Noah model driven by the GLDAS forcing data (GLDAS_Noah10 and GLDAS_Noah10_v2) were found to have high skills in terms of daily, monthly, and mean seasonal variations, indicated by smaller bias and root-mean-square-error (RMSE) (both <3 degrees C) and correlation coefficients larger than 0.90. Conversely, the Community Land Model (CLM) results (GLDAS_CLM10) generally showed larger bias and RMSE (both >4 degrees C). Further analysis showed that the overestimation by GLDAS_CLM10 was mainly caused by overestimation of the ground heat flux, determined by the thermal conductivity parameterization scheme, whereas the underestimation by GLDAS_Noah10 was due to underestimation of downward longwave radiation from the forcing data. Thus, more accurate forcing data should be required for the Noah model and an improved thermal parameterization scheme should be developed for the CLM. These approaches will improve the accuracy of simulated soil temperatures. To our knowledge, it is the first study to evaluate the GLDAS soil temperatures with comprehensive in situ observations across the world, and has a potential to facilitate an overall improvement of the GLDAS products (not only soil temperatures but also the related energy and water fluxes) as well as a refinement of the land surface parameterization used in GLDAS. (C) 2016 Elsevier B.V. All rights reserved.
Subject Area自然地理学
WOS IDWOS:000370905100028
Language英语
Indexed BySCI
KeywordSurface Model Eta-model Carbon-dioxide Climate Models Moisture Satellite Water Products Weather Fluxes
Cooperation Status国际
Department环境
SubtypeArticle
Citation statistics
Cited Times:5[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.itpcas.ac.cn/handle/131C11/7734
Collection图书馆
Corresponding AuthorWang, L; Li, XP
Affiliation1.Chinese Acad Sci, Inst Tibetan Plateau Res, Key Lab Tibetan Environm Changes & Land Surface P, Bldg 3,Courtyard 16,Lin Cui Rd, Beijing, Peoples R China
2.Chinese Acad Sci, Ctr Excellence Tibetan Plateau Earth Sci, Beijing, Peoples R China
3.Univ Gothenburg, Dept Earth Sci, Gothenburg, Sweden
4.Tsinghua Univ, Minist Educ, Key Lab Earth Syst Modeling, Beijing 100084, Peoples R China
5.Tsinghua Univ, Ctr Earth Syst Sci, Beijing 100084, Peoples R China
Recommended Citation
GB/T 7714
Wang, L ,Li, XP ,Chen, YY ,et al. Validation of the global land data assimilation system based on measurements of soil temperature profiles[J]. AGRICULTURAL AND FOREST METEOROLOGY,2016,218(0):288-297.
APA Wang, L .,Li, XP .,Chen, YY .,Yang, K .,Chen, DL .,...&Li, XP.(2016).Validation of the global land data assimilation system based on measurements of soil temperature profiles.AGRICULTURAL AND FOREST METEOROLOGY,218(0),288-297.
MLA Wang, L ,et al."Validation of the global land data assimilation system based on measurements of soil temperature profiles".AGRICULTURAL AND FOREST METEOROLOGY 218.0(2016):288-297.
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