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Improving Land Surface Temperature Simulation in CoLM Over the Tibetan Plateau Through Fractional Vegetation Cover Derived From a Remotely Sensed Clumping Index and Model-Simulated Leaf Area Index
Li, CW (Li, Chengwei)1,2; Lu, H (Lu, Hui)1,3; Leung, LR (Leung, L. Ruby)4; Yang, K (Yang, Kun)1,3,5,6; Li, HY (Li, Hongyi)7,8,9; Wang, W (Wang, Wei)1,10; Han, ML (Han, Menglei)1; Chen, YY (Chen, Yingying)5,6
Source PublicationJOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
2019
Volume124Issue:5Pages:2620-2642
DOI10.1029/2018JD028640
Abstract

Parameterizations of fractional vegetation cover (FVC) in land surface models have important effects on simulations of surface energy budget, especially in arid and semiarid regions. This study uses a FVC scheme in which FVC is derived from leaf area index and a remotely sensed clumping index. The performance of the new scheme (SMFVC) is evaluated against Moderate Resolution Imaging Spectroradiometer (MODIS) land surface temperature (LST) and in situ soil temperature observations, together with two other FVC schemes, a general FVC scheme (CTL) based on land cover map and a climatology-based FVC scheme (RSFVC) that uses long-term remotely sensed Normalized Difference Vegetation Index of MODIS. The three FVC schemes were implemented in the Common Land Model (CoLM) and applied in the Tibetan Plateau using the same forcing data and default parameters. Our results demonstrate that FVC schemes have significant influence on the CoLM performance: (1) the RSFVC and SMFVC schemes significantly reduce the LST biases found in CTL, particularly in grassland and during summer; (2) soil temperature evaluation by in situ observations from three networks on the Tibetan Plateau corroborates the LST results; and (3) the improvements are mainly related to representing temporal (seasonal) variability and subgrid heterogeneity of FVC, which improves surface albedo and surface energy balance. In other words, by including more vegetation characteristics, such as using a clumping index, land surface models may better simulate surface vegetation condition and further better represent the land surface energy budget over the Tibetan Plateau.

Subject AreaAtmospheric Sciences
WOS IDWOS:000462139800015
Language英语
Indexed BySCI
KeywordRegional Climate Energy Fluxes Soil-moisture Long-term Satellite Parameterization Validation Water Precipitation Permafrost
WOS Research AreaMeteorology & Atmospheric Sciences
WOS SubjectMeteorology & Atmospheric Sciences
Cooperation Status国际
ISSN2169-897X
Department环境变化与地表过程
URL查看原文
PublisherAMER GEOPHYSICAL UNION
SubtypeArticle
Citation statistics
Document Type期刊论文
Identifierhttp://ir.itpcas.ac.cn/handle/131C11/9366
Collection图书馆
Corresponding AuthorLu, H (Lu, Hui)
Affiliation1.Tsinghua Univ, Dept Earth Syst Sci, Key Lab Earth Syst Modeling, Minist Educ, Beijing, Peoples R China;
2.Chinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing, Peoples R China;
3.Joint Ctr Global Change Studies, Beijing, Peoples R China;
4.Pacific Northwest Natl Lab, Richland, WA 99352 USA;
5.Chinese Acad Sci, Inst Tibetan Plateau Res, Key Lab Tibetan Environm Changes & Land Surface P, Beijing, Peoples R China;
6.CAS Ctr Excellence Tibetan Plateau Earth Sci, Beijing, Peoples R China;
7.Univ Houston, Dept Civil & Environm Engn, Houston, TX 77204 USA;
8.Montana State Univ, Dept Land Resources & Environm Sci, Bozeman, MT 59717 USA;
9.Montana State Univ, Inst Ecosyst, Bozeman, MT 59717 USA;
10.Changjiang Inst Survey Planning Design & Res, Wuhan, Hubei, Peoples R China.
Recommended Citation
GB/T 7714
Li, CW ,Lu, H ,Leung, LR ,et al. Improving Land Surface Temperature Simulation in CoLM Over the Tibetan Plateau Through Fractional Vegetation Cover Derived From a Remotely Sensed Clumping Index and Model-Simulated Leaf Area Index[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2019,124(5):2620-2642.
APA Li, CW .,Lu, H .,Leung, LR .,Yang, K .,Li, HY .,...&Chen, YY .(2019).Improving Land Surface Temperature Simulation in CoLM Over the Tibetan Plateau Through Fractional Vegetation Cover Derived From a Remotely Sensed Clumping Index and Model-Simulated Leaf Area Index.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,124(5),2620-2642.
MLA Li, CW ,et al."Improving Land Surface Temperature Simulation in CoLM Over the Tibetan Plateau Through Fractional Vegetation Cover Derived From a Remotely Sensed Clumping Index and Model-Simulated Leaf Area Index".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 124.5(2019):2620-2642.
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