基于WRF-STILT模型对高塔CO<sub>2</sub>浓度的模拟研究

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Abstract

By using high spatial and temporal resolution EDGAR fossil emissions (13 categories) and Carbon Tracker NEE flux,WRF-STILT model was evaluated with one year (2008) CO₂ concentration observations at a homogeneous agricultural underlying surface,which located in U.S.corn belt.The results showed that this model could capture the strong seasonal and daily variation,with RMSE be 10.6×10^-6,R=0.44(n=7784,P<0.001).The linear regression slope of growing season concentration enhancement was 1.08(R=0.52,P<0.001),indicating high consistency,while the intercept (7.26×10^-6) reflects the overestimation of fossil emission or underestimation of NEE.During this year round,observed enhancement was 4.83×10^-6,smaller than sum of the fossil enhancement contribution (6.61×10^-6) and NEE contribution (3.23×10^-6).The oil production and refineries and energy industry contributed 2.55×10^-6(38.6%) and 1.43×10^-6(21.6%) of all fossil enhancements,separately.Biomass burning only contributes 0.06×10^-6 to the total enhancement which was ignorable compared with fossil and NEE.At the end,it can be concluded that this method can be used to retrieve regional scale greenhouse gas flux in China.

Key words： WRF-STILT model tall tower CO₂ concentration simulation eddy covariance regional scale U.S.corn belt

Received: 09 December 2016

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	Articles by authors
	HU Cheng
	ZHANG Mi
	XIAO Wei
	WANG Yong-wei
	WANG Wei
	TIM Griffis
	LIU Shou-dong
	LI Xu-hui

Cite this article:

HU Cheng,ZHANG Mi,XIAO Wei等. Tall tower CO₂ concentration simulation using the WRF-STILT model[J]. CHINA ENVIRONMENTAL SCIENCECE, 2017, 37(7): 2424-2437.

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http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2017/V37/I7/2424

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