2020
DOI: 10.5194/gmd-13-3839-2020
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Characterizing model errors in chemical transport modeling of methane: impact of model resolution in versions v9-02 of GEOS-Chem and v35j of its adjoint model

Abstract: Abstract. The GEOS-Chem simulation of atmospheric CH4 was evaluated against observations from the Thermal and Near Infrared Sensor for Carbon Observations Fourier Transform Spectrometer (TANSO-FTS) on the Greenhouse Gases Observing Satellite (GOSAT), the Atmospheric Chemistry Experiment Fourier Transform Spectrometer (ACE-FTS), and the Total Carbon Column Observing Network (TCCON). We focused on the model simulations at the 4∘×5∘ and 2∘×2.5∘ horizontal resolutions for the period of February–May 2010. Compared … Show more

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Cited by 36 publications
(43 citation statements)
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“…9). Previous inversions using the EDGAR inventory (> 20 Tg a −1 ) as a prior estimate found a similar correction (Alexe et al, 2015;Thompson et al, 2015;Turner et al, 2015;Maasakkers et al, 2019;Miller et al, 2019). In our case, the prior estimate of coal emissions (19 Tg a −1 ) is the value reported by China to the UNFCCC, and we find that it is still too high.…”
Section: Anthropogenic Methane Emissionssupporting
confidence: 69%
“…9). Previous inversions using the EDGAR inventory (> 20 Tg a −1 ) as a prior estimate found a similar correction (Alexe et al, 2015;Thompson et al, 2015;Turner et al, 2015;Maasakkers et al, 2019;Miller et al, 2019). In our case, the prior estimate of coal emissions (19 Tg a −1 ) is the value reported by China to the UNFCCC, and we find that it is still too high.…”
Section: Anthropogenic Methane Emissionssupporting
confidence: 69%
“…At NH midlatitudes the major CH 4 source regions are China, the US, and Europe. Moreover, the eastern parts of China and North America are located in regions of significant extratropical cyclone activity (Stohl, 2001;Shaw et al, 2016), where CH 4 emitted from the surface is being lifted into the free troposphere in warm conveyor belts associated with these cyclones (Kowol-Santen et al, 2001;Li et al, 2005;Sinclair et al, 2008;Lin et al, 2010). Moist convection over land could also contribute to the total transport bias; however, convective transport is not strong over these midlatitude regions during the months of February-May.…”
Section: Pattern Of Forcing Termsmentioning
confidence: 99%
“…On-going efforts to improve CTM representation of inter-hemispheric transport, convection, and boundary layer mixing offer promise for reducing the influence of model transport errors in future inverse analyses (Lin and Mcelroy, 2010;Patra et al, 2011;Saito et al, 2013). Including model error terms in the cost function for optimization, for example via weak-constraint inverse modelling, can alleviate the perfect-model dependence of standard (strong-constraint) inverse approaches and would improve inversion results for long-lived tracers such as methane (Stanevich et al, 2020(Stanevich et al, , 2021.…”
Section: Discussionmentioning
confidence: 99%