2021
DOI: 10.1016/j.atmosenv.2020.118106
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Assimilation of OCO-2 retrievals with WRF-Chem/DART: A case study for the Midwestern United States

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Cited by 13 publications
(19 citation statements)
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“…DART [63] is an open-source software framework for ensemble data assimilation research developed by the National Center for Atmospheric Research (NCAR). DART has been widely coupled with the WRF-Chem model [64][65][66][67]. On the basis of DART [63], a regional CO flux inversion system was developed according to the flux inversion scheme implemented in Zhang's CO 2 flux inversion system [40].…”
Section: Regional Co Flux Inversion Systemmentioning
confidence: 99%
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“…DART [63] is an open-source software framework for ensemble data assimilation research developed by the National Center for Atmospheric Research (NCAR). DART has been widely coupled with the WRF-Chem model [64][65][66][67]. On the basis of DART [63], a regional CO flux inversion system was developed according to the flux inversion scheme implemented in Zhang's CO 2 flux inversion system [40].…”
Section: Regional Co Flux Inversion Systemmentioning
confidence: 99%
“…COF represents the non-prognostic CO fluxes input to the WRF-Chem model; it could not be forwarded by the WRF-Chem model. The Met and COC part of the state vector x were assimilated in the same way as Zhang's approach [40,64]. The OtherC part of the state vector x did not participate in the assimilation process.…”
Section: Regional Co Flux Inversion Systemmentioning
confidence: 99%
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“…It is common to use several hierarchically nested domains to better maintain the balance in the feedback between the coarse and fine grids. Here we follow several previous studies that successfully downscaled the 1° FNL directly to 10 km resolution grids using a single domain, reporting skillful high‐resolution simulations (e.g., Yang et al ., 2020; Zeng et al ., 2020; Zhang et al ., 2021). As demonstrated and analysed in detail in Section 3, our model configuration was able to reproduce the general circulation characteristics and associated climatology and variability of summer AOD over the AP.…”
Section: Model and Datasetsmentioning
confidence: 99%