干旱区生态环境知识资源中心(Arid): A multiresolution spatial parametrization for the estimation of fossil-fuel carbon dioxide emissions via atmospheric inversions.

Arid

DOI	10.2172/1095955
报告编号	SAND2013-2919
来源ID	OSTI_ID: 1095955
	A multiresolution spatial parametrization for the estimation of fossil-fuel carbon dioxide emissions via atmospheric inversions.
	Ray, Jaideep; Lee, Jina; Lefantzi, Sophia; Yadav, Vineet [Carnegie Institution for Science, Stanford, CA]; Michalak, Anna M. [Carnegie Institution for Science, Stanford, CA]; van Bloemen Waanders, Bart Gustaaf [Sandia National Laboratories, Albuquerque, NM]; McKenna, Sean Andrew [IBM Research, Mulhuddart, Dublin 15, Ireland]
英文摘要	The estimation of fossil-fuel CO2 emissions (ffCO2) from limited ground-based and satellite measurements of CO2 concentrations will form a key component of the monitoring of treaties aimed at the abatement of greenhouse gas emissions. To that end, we construct a multiresolution spatial parametrization for fossil-fuel CO2 emissions (ffCO2), to be used in atmospheric inversions. Such a parametrization does not currently exist. The parametrization uses wavelets to accurately capture the multiscale, nonstationary nature of ffCO2 emissions and employs proxies of human habitation, e.g., images of lights at night and maps of built-up areas to reduce the dimensionality of the multiresolution parametrization. The parametrization is used in a synthetic data inversion to test its suitability for use in atmospheric inverse problem. This linear inverse problem is predicated on observations of ffCO2 concentrations collected at measurement towers. We adapt a convex optimization technique, commonly used in the reconstruction of compressively sensed images, to perform sparse reconstruction of the time-variant ffCO2 emission field. We also borrow concepts from compressive sensing to impose boundary conditions i.e., to limit ffCO2 emissions within an irregularly shaped region (the United States, in our case). We find that the optimization algorithm performs a data-driven sparsification of the spatial parametrization and retains only of those wavelets whose weights could be estimated from the observations. Further, our method for the imposition of boundary conditions leads to a 10computational saving over conventional means of doing so. We conclude with a discussion of the accuracy of the estimated emissions and the suitability of the spatial parametrization for use in inverse problems with a significant degree of regularization.
出版年	2013
报告类型	Technical Report
语种	英语
国家	美国
URL	http://www.osti.gov/scitech/servlets/purl/1095955
资源类型	科技报告
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/270704
推荐引用方式 GB/T 7714	Ray, Jaideep,Lee, Jina,Lefantzi, Sophia,et al. A multiresolution spatial parametrization for the estimation of fossil-fuel carbon dioxide emissions via atmospheric inversions.,2013.