气候变化领域集成服务门户(CCPortal): Development of a Mesoscale Inversion System for Estimating Continental-Scale CO2 Fluxes

CCPortal

DOI	10.1029/2019MS001818
	Development of a Mesoscale Inversion System for Estimating Continental-Scale CO2 Fluxes
	Wesloh D.; Lauvaux T.; Davis K.J.
发表日期	2020
ISSN	19422466
卷号	12 期号:9
英文摘要	Computational requirements often impose limitations on the spatial and temporal resolutions of atmospheric CO2 inversions, increasing aggregation and representation errors. This study enables higher spatial and temporal resolution inversions with spatial and temporal error structures similar to those used in other published inversions by representing the prior flux error covariances as a Kronecker product of spatial and temporal covariances and by using spectral methods for the spatial correlations. Compared to existing inversion systems that are forced to degrade the resolution of the problem in order to bring the dimensionality down to computationally tractable levels, this inversion framework is able to take advantage of mesoscale transport simulations and more of the complexity of spatial and temporal covariances in the surface CO2 fluxes. This approach was successfully implemented over one month with an identical-twin observing system simulation experiment (OSSE) using a set of assumptions about the prior flux uncertainties compatible both with continental-scale uncertainty estimates and with comparisons of vegetation models to flux towers. The demonstration illustrates the potential of the newly developed inversion system to use high-temporal-resolution information from the North American tower network, to extract high-resolution information about CO2 fluxes that is inaccessible to coarser resolution inversion systems, and to simultaneously optimize an ensemble of prior estimates. This demonstration sets the stage for regional flux inversions that can take full advantage of the high-resolution data available in tower CO2 records and mesoscale atmospheric transport reanalyses, include more realistic prior error structures, and explore specifying prior fluxes with ensembles. © 2020. The Authors.
英文关键词	atmospheric trace gas flux inversion; carbon dioxide; spectral methods
语种	英语
scopus关键词	Atmospheric movements; Carbon dioxide; Errors; Atmospheric transport; Computational requirements; High resolution data; High temporal resolution; Observing system simulation experiments; Spatial and temporal resolutions; Spatial correlations; Uncertainty estimates; Uncertainty analysis; atmospheric transport; carbon flux; correlation; covariance analysis; estimation method; mesoscale meteorology; spatial resolution; spectral analysis
来源期刊	Journal of Advances in Modeling Earth Systems
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/156638
作者单位	Department of Meteorology and Atmospheric Science, The Pennsylvania State University, University Park, PA, United States; Laboratoire des Sciences du Climat et de l'Environnement, Gif sur Yvette, France; Earth and Environmental Systems Institute, The Pennsylvania State University, University Park, PA, United States
推荐引用方式 GB/T 7714	Wesloh D.,Lauvaux T.,Davis K.J.. Development of a Mesoscale Inversion System for Estimating Continental-Scale CO2 Fluxes[J],2020,12(9).
APA	Wesloh D.,Lauvaux T.,&Davis K.J..(2020).Development of a Mesoscale Inversion System for Estimating Continental-Scale CO2 Fluxes.Journal of Advances in Modeling Earth Systems,12(9).
MLA	Wesloh D.,et al."Development of a Mesoscale Inversion System for Estimating Continental-Scale CO2 Fluxes".Journal of Advances in Modeling Earth Systems 12.9(2020).