NWIPB OpenIR
Evaluation of the Community Land Model simulated carbon and water fluxes against observations over ChinaFLUX sites
Zhang, Li1; Mao, Jiafu2,3; Shi, Xiaoying2,3; Ricciuto, Daniel2,3; He, Honglin1; Thornton, Peter2,3; Yu, Guirui1; Li, Pan4; Liu, Min5; Ren, Xiaoli1; Han, Shijie6; Li, Yingnian7; Yan, Junhua8; Hao, Yanbin9; Wang, Huimin1
2016-10-15
Source PublicationAGRICULTURAL AND FOREST METEOROLOGY
Volume226Pages:174-185
SubtypeArticle
AbstractThe Community Land Model (CLM) is an advanced process-based land surface model that simulates carbon, nitrogen, water vapor and energy exchanges between terrestrial ecosystems and the atmosphere at various spatial and temporal scales. We use observed carbon and water fluxes from five representative Chinese Terrestrial Ecosystem Flux Research Network (ChinaFLUX) eddy covariance tower sites to systematically evaluate the new version CLM4.5 and old version CLM4.0, and to generate insights that may inform future model developments. CLM4.5 underestimates the annual carbon sink at three forest sites and one alpine grassland site but overestimates the carbon sink of a semi-arid grassland site. The annual carbon sink underestimation for the deciduous-dominated forest site results from underestimated daytime carbon sequestration during summer and overestimated nighttime carbon emission during spring and autumn. Compared to CLM4.0, the bias of annual gross primary production (GPP) is reduced by 24% and 28% in CLM4.5 at two subtropical forest sites. However, CLM4.5 still presents a large positive bias in annual GPP. The improvement in net ecosystem exchange (NEE) is limited, although soil respiration bias decreases by 16%-43% at three forest sites. CLM4.5 simulates lower soil water content in the dry season than CLM4.0 at two grassland sites. Drier soils produce a significant drop in the leaf area index and in GPP and an increase in respiration for CLM4.5. The new fire parameterization approach in CLM4.5 causes excessive burning at the Changbaishan forest site, resulting in an unexpected underestimation of NEE, vegetation carbon, and soil organic carbon by 46%, 95%, and 87%, respectively. Overall, our study reveals significant improvements achieved by CLM4.5 compared to CLM4.0, and suggests further developments on the parameterization of seasonal GPP and respiration, which will require a more effective representation of seasonal water conditions and the partitioning of net radiation between sensible and heat fluxes. (C) 2016 Elsevier B.V. All rights reserved.
KeywordCommunity Land Model Chinaflux Eddy Covariance Carbon Flux
WOS HeadingsScience & Technology ; Life Sciences & Biomedicine ; Physical Sciences
DOI10.1016/j.agrformet.2016.05.018
WOS KeywordAIR CO2 ENRICHMENT ; GLOBAL VEGETATION MODELS ; LEYMUS-CHINENSIS STEPPE ; NET ECOSYSTEM EXCHANGE ; EARTH SYSTEM MODELS ; CYCLE FEEDBACKS ; FOREST ECOSYSTEMS ; USE EFFICIENCY ; CONIFEROUS PLANTATION ; UNCERTAINTY ANALYSIS
Indexed BySCI
Language英语
Funding OrganizationNational Key Research and development program of China(2015CB954102) ; National Natural Science Foundation of China(31290221 ; Strategic Priority Research Program of the Chinese Academy of Sciences(XDA05050602) ; US Department of Energy (DOE), Office of Science, Biological and Environmental Research ; DOE(DE-AC05-00OR22725) ; 31420103917)
WOS Research AreaAgriculture ; Forestry ; Meteorology & Atmospheric Sciences
WOS SubjectAgronomy ; Forestry ; Meteorology & Atmospheric Sciences
WOS IDWOS:000380598200015
Citation statistics
Cited Times:10[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://210.75.249.4/handle/363003/6464
Collection中国科学院西北高原生物研究所
Affiliation1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China
2.Oak Ridge Natl Lab, Div Environm Sci, Oak Ridge, TN USA
3.Oak Ridge Natl Lab, Climate Change Sci Inst, Oak Ridge, TN USA
4.Chinese Acad Sci, Inst Geochem, Guiyang 550081, Peoples R China
5.E China Normal Univ, Shanghai Key Lab Urban Ecol & Sustainabil, Shanghai 200062, Peoples R China
6.Chinese Acad Sci, Inst Appl Ecol, Shenyang 110016, Peoples R China
7.Chinese Acad Sci, Northwest Inst Plateau Biol, Xining 810001, Peoples R China
8.Chinese Acad Sci, South China Bot Garden, Guangzhou 510650, Guangdong, Peoples R China
9.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
Recommended Citation
GB/T 7714
Zhang, Li,Mao, Jiafu,Shi, Xiaoying,et al. Evaluation of the Community Land Model simulated carbon and water fluxes against observations over ChinaFLUX sites[J]. AGRICULTURAL AND FOREST METEOROLOGY,2016,226:174-185.
APA Zhang, Li.,Mao, Jiafu.,Shi, Xiaoying.,Ricciuto, Daniel.,He, Honglin.,...&Wang, Huimin.(2016).Evaluation of the Community Land Model simulated carbon and water fluxes against observations over ChinaFLUX sites.AGRICULTURAL AND FOREST METEOROLOGY,226,174-185.
MLA Zhang, Li,et al."Evaluation of the Community Land Model simulated carbon and water fluxes against observations over ChinaFLUX sites".AGRICULTURAL AND FOREST METEOROLOGY 226(2016):174-185.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Zhang, Li]'s Articles
[Mao, Jiafu]'s Articles
[Shi, Xiaoying]'s Articles
Baidu academic
Similar articles in Baidu academic
[Zhang, Li]'s Articles
[Mao, Jiafu]'s Articles
[Shi, Xiaoying]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Zhang, Li]'s Articles
[Mao, Jiafu]'s Articles
[Shi, Xiaoying]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.