Inferring and evaluating satellite-based constraints on NO _<i>x</i> emissions estimates in air quality simulations.

ABSTRACT: Satellite observations of tropospheric NO₂ columns can provide top-down observational constraints on emissions estimates of nitrogen oxides (NO _x ). 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 e

SUBMITTER: East JD 

PROVIDER: S-EPMC11770562 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature