气候变化领域集成服务门户(CCPortal): 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

CCPortal

DOI	10.1029/2018JD028640
	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, Chengwei; Lu, Hui; Leung, L. Ruby; Yang, Kun; Li, Hongyi; Wang, Wei; Han, Menglei; Chen, Yingying
通讯作者	Lu, H (通讯作者)
发表日期	2019
ISSN	2169-897X
EISSN	2169-8996
起始页码	2620
结束页码	2642
卷号	124 期号:5
英文摘要	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.
关键词	REGIONAL CLIMATE ENERGY FLUXES SOIL-MOISTURE LONG-TERM SATELLITE PARAMETERIZATION VALIDATION WATER PRECIPITATION PERMAFROST
英文关键词	land surface temperature; Tibetan Plateau; fractional vegetation cover; clumping index; Common Land Model
语种	英语
WOS研究方向	Meteorology & Atmospheric Sciences
WOS类目	Meteorology & Atmospheric Sciences
WOS记录号	WOS:000462139800015
来源期刊	JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
来源机构	中国科学院青藏高原研究所
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/259645
推荐引用方式 GB/T 7714	Li, Chengwei,Lu, Hui,Leung, L. Ruby,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]. 中国科学院青藏高原研究所,2019,124(5).
APA	Li, Chengwei.,Lu, Hui.,Leung, L. Ruby.,Yang, Kun.,Li, Hongyi.,...&Chen, Yingying.(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).
MLA	Li, Chengwei,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).