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Accounting for co2 Variability over East Asia with a Regional Joint inversion System and Its Preliminary Evaluation

Journal of Meteorological Research 2017年第5期31卷 834-851页

作者： xingxia kou xiangjun tian meigen zhang zhen peng xiaoling zhang institute of urban meteorology china meteorological administrationBeijing 100089 state key laboratory of atmospheric boundary layer physics and atmospheric chemistry institute of atmospheric physicschinese academy of sciencesBeijing 100029 international center for climate and environment sciences institute of atmospheric physicschinese academy of sciencesNanjing 210093 school of atmospheric sciences nanjing university school of atmospheric sciences chengdu university of information technologyChengdu 610225

A regional surface carbon dioxide （C02） flux inversion system, the Tan-Tracker-Region, was developed by incor- porating an assimilation scheme into the community Multiscale Air Quality （CMAQ） regional chemical transport model to resolve fine-scale co2 variability over East Asia. The proper orthogonal decomposition-based ensemble four-dimensional variational data assimilation approach （POD-4DVar） is the core algorithm for the joint assimilation framework, and simultaneous assimilations of co2 concentrations and surface co2 fluxes are applied to help reduce the uncertainty in initial co2 concentrations. A persistence dynamical model was developed to describe the evolu- tion of the surface co2 fluxes and help avoid the ＂signal-to-noise＂ problem; thus, co2 fluxes could be estimated as a whole at the model grid scale, with better use of observation information. The performance of the regional inversion system was evaluated through a group of single-observation-based observing system simulation experiments （OSSEs）. The results of the experiments suggest that a reliable performance of Tan-Tracker-Region is dependent on certain assimilation parameter choices, for example, an optimized window length of approximately 3 h, an ensemble size of approximately 100, and a covariance localization radius of approximately 320 km. This is probably due to the strong diurnal variation and spatial heterogeneity in the fine-scale CMAQ simulation, which could affect the perform- ance of the regional inversion system. In addition, because all observations can be artificially obtained in OSSEs, the performance of Tan-Tracker-Region was further evaluated through different densities of the artificial observation net- work in different co2 flux situations. The results indicate that more observation sites would be useful to systematic- ally improve the estimation of co2 concentration and flux in large areas over the model domain. The work presented here forms a foundation for future research in w

关键词： surface co2 flux inversion proper orthogonal decomposition (PDO) four-dimensional variational dataassimilation (4DVar) joint assimilation regional transport model

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