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• W4313436061 endingPage "16001" @default.
• W4313436061 startingPage "15981" @default.
• W4313436061 abstract "Abstract. Satellite observations of tropospheric NO2 columns can provide top-down observational constraints on emissions estimates of nitrogen oxides (NOx). Mass-balance-based methods are often applied for this purpose but do not isolate near-surface emissions from those aloft, such as lightning emissions. Here, we introduce an inverse modeling framework that couples satellite chemical data assimilation to a chemical transport model. In the framework, satellite-constrained emissions totals are inferred using model simulations with and without data assimilation in the iterative finite-difference mass-balance method. The approach improves the finite-difference mass-balance inversion by isolating the near-surface emissions increment. We apply the framework to separately estimate lightning and anthropogenic NOx emissions over the Northern Hemisphere for 2019. Using overlapping observations from the Ozone Monitoring Instrument (OMI) and the Tropospheric Monitoring Instrument (TROPOMI), we compare separate NOx emissions inferences from these satellite instruments, as well as the impacts of emissions changes on modeled NO2 and O3. OMI inferences of anthropogenic emissions consistently lead to larger emissions than TROPOMI inferences, attributed to a low bias in TROPOMI NO2 retrievals. Updated lightning NOx emissions from either satellite improve the chemical transport model's low tropospheric O3 bias. The combined lighting and anthropogenic emissions updates improve the model's ability to reproduce measured ozone by adjusting natural, long-range, and local pollution contributions. Thus, the framework informs and supports the design of domestic and international control strategies." @default.
• W4313436061 created "2023-01-06" @default.
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• W4313436061 date "2022-12-20" @default.
• W4313436061 modified "2023-10-11" @default.
• W4313436061 title "Inferring and evaluating satellite-based constraints on NO_<i>x</i> emissions estimates in air quality simulations" @default.
• W4313436061 cites W1500371118 @default.
• W4313436061 cites W1510661570 @default.
• W4313436061 cites W1528048407 @default.
• W4313436061 cites W1661733002 @default.
• W4313436061 cites W1802266752 @default.
• W4313436061 cites W1904230536 @default.
• W4313436061 cites W1908184650 @default.
• W4313436061 cites W1915827288 @default.
• W4313436061 cites W1974706428 @default.
• W4313436061 cites W1976605326 @default.
• W4313436061 cites W1978316624 @default.
• W4313436061 cites W1985794946 @default.
• W4313436061 cites W1986302701 @default.
• W4313436061 cites W2002570697 @default.
• W4313436061 cites W2004431879 @default.
• W4313436061 cites W2008641894 @default.
• W4313436061 cites W2027404493 @default.
• W4313436061 cites W2084785797 @default.
• W4313436061 cites W2086402093 @default.
• W4313436061 cites W2095427266 @default.
• W4313436061 cites W2115775664 @default.
• W4313436061 cites W2126011139 @default.
• W4313436061 cites W2127093080 @default.
• W4313436061 cites W2147331530 @default.
• W4313436061 cites W2152811544 @default.
• W4313436061 cites W2164250405 @default.
• W4313436061 cites W2164474809 @default.
• W4313436061 cites W2164545726 @default.
• W4313436061 cites W2170791744 @default.
• W4313436061 cites W2319404411 @default.
• W4313436061 cites W2461312929 @default.
• W4313436061 cites W2471279947 @default.
• W4313436061 cites W2546518786 @default.
• W4313436061 cites W2569758175 @default.
• W4313436061 cites W2599059974 @default.
• W4313436061 cites W2600399632 @default.
• W4313436061 cites W2605431300 @default.
• W4313436061 cites W2606930610 @default.
• W4313436061 cites W2610650693 @default.
• W4313436061 cites W2742501595 @default.
• W4313436061 cites W2809451002 @default.
• W4313436061 cites W2885047023 @default.
• W4313436061 cites W2885527249 @default.
• W4313436061 cites W2889330544 @default.
• W4313436061 cites W2896092254 @default.
• W4313436061 cites W2898247900 @default.
• W4313436061 cites W2901552534 @default.
• W4313436061 cites W2905355243 @default.
• W4313436061 cites W2908889590 @default.
• W4313436061 cites W2916847768 @default.
• W4313436061 cites W2941059881 @default.
• W4313436061 cites W2952457569 @default.
• W4313436061 cites W2962025713 @default.
• W4313436061 cites W2980902968 @default.
• W4313436061 cites W2981426284 @default.
• W4313436061 cites W2984698759 @default.
• W4313436061 cites W2995883393 @default.
• W4313436061 cites W2996671324 @default.
• W4313436061 cites W3012748069 @default.
• W4313436061 cites W3014858542 @default.
• W4313436061 cites W3015685167 @default.
• W4313436061 cites W3033069661 @default.
• W4313436061 cites W3033530208 @default.
• W4313436061 cites W3034017249 @default.
• W4313436061 cites W3035408440 @default.
• W4313436061 cites W3035712837 @default.
• W4313436061 cites W3080890791 @default.
• W4313436061 cites W3092861045 @default.
• W4313436061 cites W3096412676 @default.
• W4313436061 cites W3157791250 @default.
• W4313436061 cites W3158650515 @default.
• W4313436061 cites W3163424411 @default.
• W4313436061 cites W3163792958 @default.
• W4313436061 cites W3202541307 @default.
• W4313436061 cites W3212297306 @default.
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• W4313436061 doi "https://doi.org/10.5194/acp-22-15981-2022" @default.
• W4313436061 hasPublicationYear "2022" @default.
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