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1篇 您的检索式：作者名="David W.T.Griffith"

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		题名	作者	年代	出处	被引量
	1	Global land mapping of satellite-observed CO_(2)total columns using spatio-temporal geostatistics显示文摘This study presents an approach for generating a global land mapping dataset of the satellite measurements of CO_(2)total column(XCO_(2))using spatio-temporal geostatistics,which makes full use of the joint spatial and temporal dependencies between observations.The mapping approach considers the latitude-zonal seasonal cycles and spatio-temporal correlation structure of XCO_(2),and obtains global land maps of XCO_(2),with a spatial grid resolution of 1°latitude by 1°longitude and temporal resolution of 3 days.We evaluate the accuracy and uncertainty of the mapping dataset in the following three ways:(1)in cross-validation,the mapping approach results in a high correlation coefficient of 0.94 between the predictions and observations,(2)in comparison with ground truth provided by the Total Carbon Column Observing Network(TCCON),the predicted XCO_(2)time series and those from TCCON sites are in good agreement,with an overall bias of 0.01 ppm and a standard deviation of the difference of 1.22 ppm and(3)in comparison with model simulations,the spatio-temporal variability of XCO_(2)between the mapping dataset and simulations from the CT2013 and GEOS-Chem are generally consistent.The generated mapping XCO_(2)data in this study provides a new global geospatial dataset in global understanding of greenhouse gases dynamics and global warming.	Zhao-Cheng Zeng Liping Lei Kimberly Strong Dylan B.A.Jones Lijie Guo Min Liu Feng Deng Nicholas M.Deutscher Manvendra K.Dubey David W.T.Griffith Frank Hase Bradley Henderson Rigel Kivi Rodica Lindenmaier Isamu Morino Hirofumi Ohyama Christof Petri Ralf Sussmann Voltaire A.Velazco Paul O.Wennberg Hui Lin	2017	International Journal of Digital Earth2017，10，4：	1

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