Effects of in-situ and reanalysis climate data on estimation of cropland gross primary production using the Vegetation Photosynthesis Model

	Effects of in-situ and reanalysis climate data on estimation of cropland gross primary production using the Vegetation Photosynthesis Model
	Jin, Cui 1; Xiao, Xiangming 1; Wagle, Pradeep 1; Griffis, Timothy 1; Dong, Jinwei 1; Wu, Chaoyang 1; Qin, Yuanwei 1; Cook, David R.1
刊名	AGRICULTURAL AND FOREST METEOROLOGY
	2015
卷号	213 页码:4953-4971
关键词	Vegetation Photosynthesis Model (VPM) NARR MODIS AmeriFlux Downward shortwave radiation Vegetation indices
通讯作者	Xiao, XM (reprint author), 101 David L Boren Blvd, Norman, OK 73019 USA.
英文摘要	Satellite-based Production Efficiency Models (PEMs) often require meteorological reanalysis data such as the North America Regional Reanalysis (NAAR) by the National Centers for Environmental Prediction (NCEP) as model inputs to simulate Gross Primary Production (GPP) at regional and global scales. This study first evaluated the accuracies of air temperature (T-NARR) and downward shortwave radiation (R-NARR) of the NARR by comparing with in-situ meteorological measurements at 37 AmeriFlux non-crop eddy flux sites, then used one PEM - the Vegetation Photosynthesis Model (VPM) to simulate 8-day mean GPP (GPP(VPM)) at seven AmeriFlux crop sites, and investigated the uncertainties in GPP(VPM) from climate inputs as compared with eddy covariance-based GPP (GPP(EC)). Results showed that TNARR agreed well with in-situ measurements; RNARR, however, was positively biased. An empirical linear correction was applied to RNARR, and significantly reduced the relative error of RNARR by similar to 25% for crop site-years. Overall, GPP(VPM) calculated from the in-situ (GPP(VPM(EC))), original (GPP(VPM(NARR))) and adjusted NARR (GPP(VPM(adjNARR))) climate data tracked the seasonality of GPP(EC) well, albeit with different degrees of biases. GPP(VPM(EC)) showed a good match with GPP(EC) for maize (Zea mays L), but was slightly under-estimated for soybean (Glycine max L.). Replacing the in-situ climate data with the NARR resulted in a significant overestimation of GPP(VPM(NARR)) (18.4/29.6% for irrigated/rainfed maize and 12.7/12.5% for irrigated/rainfed soybean). GPP(VPM(adjNARR)) showed a good agreement with GPP(VPM(EC)) for both crops due to the reduction in the bias of R-NARR. The results imply that the bias of R-NARR introduced significant uncertainties into the PEM-based GPP estimates, suggesting that more accurate surface radiation datasets are needed to estimate primary production of terrestrial ecosystems at regional and global scales. (C) 2015 Elsevier B.V. All rights reserved.
研究领域[WOS]	Agronomy ; Forestry ; Meteorology & Atmospheric Sciences
收录类别	SCI
语种	英语
WOS记录号	WOS:000361255400022
内容类型	期刊论文
源URL	[http://ir.ceode.ac.cn/handle/183411/38361]
专题	遥感与数字地球研究所_SCI/EI期刊论文_期刊论文
作者单位	1.[Jin, Cui 2.Xiao, Xiangming 3.Wagle, Pradeep 4.Dong, Jinwei 5.Qin, Yuanwei] Univ Oklahoma, Dept Microbiol & Plant Biol, Norman, OK 73019 USA 6.[Jin, Cui 7.Xiao, Xiangming 8.Wagle, Pradeep 9.Dong, Jinwei 10.Qin, Yuanwei] Univ Oklahoma, Ctr Spatial Anal, Norman, OK 73019 USA
推荐引用方式 GB/T 7714	Jin, Cui,Xiao, Xiangming,Wagle, Pradeep,et al. Effects of in-situ and reanalysis climate data on estimation of cropland gross primary production using the Vegetation Photosynthesis Model[J]. AGRICULTURAL AND FOREST METEOROLOGY,2015,213:4953-4971.
APA	Jin, Cui.,Xiao, Xiangming.,Wagle, Pradeep.,Griffis, Timothy.,Dong, Jinwei.,...&Cook, David R..(2015).Effects of in-situ and reanalysis climate data on estimation of cropland gross primary production using the Vegetation Photosynthesis Model.AGRICULTURAL AND FOREST METEOROLOGY,213,4953-4971.
MLA	Jin, Cui,et al."Effects of in-situ and reanalysis climate data on estimation of cropland gross primary production using the Vegetation Photosynthesis Model".AGRICULTURAL AND FOREST METEOROLOGY 213(2015):4953-4971.