An estimation of top-down NOx emissions from OMI sensor over East Asia

Abstract

This study focuses on the estimation of top-down NOx emissions over East Asia, integrating information on the levels of NO2 and NO, wind vector, and geolocation from Ozone Monitoring Instrument (OMI) observations and Weather Research and Forecasting (WRF)-Community Multiscale Air Quality (CMAQ) model simulations. An algorithm was developed based on mass conservation to estimate the 30kmx30km resolved top-down NOx emissions over East Asia. In particular, the algorithm developed in this study considered two main atmospheric factors-i) NOx transport from/to adjacent cells and ii) calculations of the lifetimes of column NOx (τ). In the sensitivity test, the analysis showed the improvements in the top-down NOx estimation via filtering the data (τ ≤ 2 hours). The best top-down NOx emissions were inferred after the sixth iterations. Those emissions were 11.76 Tg N yr-1 over China, 0.13 Tg N yr-1 over North Korea, 0.46 Tg N yr-1 over South Korea, and 0.68 Tg N yr-1 over Japan. These values are 34%, 62%, 60%, and 47% larger than the current bottom-up NOx emissions over these countries, respectively. A comparison between the CMAQ-estimated and OMI-retrieved NO2 columns was made to confirm the accuracy of the newly estimated NOx emission. The comparison confirmed that the estimated top-down NOx emissions showed better agreements with observations (R2 = 0.88 for January and 0.81 for July). © 2020 by the authors.