干旱区生态环境知识资源中心(Arid): Influence of Near Real-Time Green Vegetation Fraction Data on Numerical Weather Prediction by WRF over North China

Arid

DOI	10.1007/s13351-021-0163-6
	Influence of Near Real-Time Green Vegetation Fraction Data on Numerical Weather Prediction by WRF over North China
	Lu, Bing; Zhong, Jiqin; Wang, Wei; Tang, Shihao; Zheng, Zhaojun
通讯作者	Zhong, JQ (corresponding author), China Meteorol Adm, Inst Urban Meteorol, Beijing 100089, Peoples R China.
来源期刊	JOURNAL OF METEOROLOGICAL RESEARCH
ISSN	2095-6037
EISSN	2198-0934
出版年	2021
卷号	35 期号:3 页码:505-520
英文摘要	The green vegetation fraction (GVF) can greatly influence the partitioning of surface sensible and latent heat fluxes in numerical weather prediction (NWP) models. However, the multiyear averaged monthly GVF climatology-the most commonly used representation of the vegetation state in models-cannot capture the real-time vegetation state well. In this study, a near real-time (NRT) GVF dataset generated from an 8-day composite of the normalized difference vegetation index is compared with the 10-yr averaged monthly GVF provided by the WRF model. The annual variability of the GVF over North China is examined in detail. Many differences between the two GVF datasets are found over dryland, grassland, and cropland/grassland mosaic areas. Two experiments using different GVF datasets are performed to assess the impacts of GVF on forecasts of screen-level temperature and humidity. The results show that using NRT GVF can lead to a widespread reduction of 2-m temperature forecast errors from April to October. Evaluation against in-situ observations shows that the positive impact on 2-m temperature forecasts in the morning is more distinct than that in the afternoon. Our study demonstrates that NRT GVF can provide a more realistic representation of the vegetation state, which in turn helps to improve short-range forecasts in arid and semiarid regions of North China. Moreover, our study shows that the negative effect of using NRT GVF is closely related to the initial soil moisture.
英文关键词	green vegetation fraction (GVF) near real-time (NRT) soil moisture 2-m temperature and humidity warm season
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000669901200009
WOS关键词	LAND-COVER DATA ; SOIL-MOISTURE ; SURFACE ALBEDO ; UNITED-STATES ; MODEL ; IMPACT ; RESOLUTION ; FORECASTS ; SENSITIVITY ; DERIVATION
WOS类目	Meteorology & Atmospheric Sciences
WOS研究方向	Meteorology & Atmospheric Sciences
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/367939
作者单位	[Lu, Bing; Zhong, Jiqin] China Meteorol Adm, Inst Urban Meteorol, Beijing 100089, Peoples R China; [Wang, Wei] Natl Ctr Atmospher Res, Boulder, CO 80301 USA; [Tang, Shihao; Zheng, Zhaojun] China Meteorol Adm, Key Lab Radiometr Calibrat & Validat Environm Sat, Natl Satellite Meteorol Ctr, Beijing 100089, Peoples R China
推荐引用方式 GB/T 7714	Lu, Bing,Zhong, Jiqin,Wang, Wei,et al. Influence of Near Real-Time Green Vegetation Fraction Data on Numerical Weather Prediction by WRF over North China[J],2021,35(3):505-520.
APA	Lu, Bing,Zhong, Jiqin,Wang, Wei,Tang, Shihao,&Zheng, Zhaojun.(2021).Influence of Near Real-Time Green Vegetation Fraction Data on Numerical Weather Prediction by WRF over North China.JOURNAL OF METEOROLOGICAL RESEARCH,35(3),505-520.
MLA	Lu, Bing,et al."Influence of Near Real-Time Green Vegetation Fraction Data on Numerical Weather Prediction by WRF over North China".JOURNAL OF METEOROLOGICAL RESEARCH 35.3(2021):505-520.