A031-0002
Advances in global NOx emission estimates using assimilation of TROPOMI NO2 data
Advances in global NOx emission estimates using assimilation of TROPOMI NO2 data
Tuesday, 8 December 2020
Poster
Abstract:
Satellite observations of tropospheric NO2 columns have proven useful for constraining surface NOx emissions and its impact on air quality, atmospheric chemistry, and climate change as a precursor of tropospheric ozone and nitrate aerosols. The Tropospheric Monitoring Instrument (TROPOMI) on board the Sentinel-5 Precursor satellite provides improved global pictures of global tropospheric NO2 columns as compared with the Ozone Monitoring Instrument (OMI). This study demonstrates the advances in global NOx emission estimates using the TROPOMI NO2 retrievals (version 1.2) for the first time from a systematic comparison against data assimilation (DA) results using the QA4ECV OMI NO2 retrievals (version 1.1) for April—May 2018, using the global chemical data assimilation system developed using an ensemble Kalan filter technique. The global RMSE reduction in tropospheric NO2 column against the assimilated measurements was greater in TROPOMI DA (by 54%) than in OMI DA (by 38%), which can be attributed to 16% smaller super-observation errors of the TROPOMI retrievals than those of the OMI retrievals and 44% larger observation coverages of the TROPOMI retrievals than those of the OMI retrievals. TROPOMI DA also improved agreement in surface and tropospheric NO2 concentration over the United States and Europe compared against surface in situ and aircraft (NASA ATom-4) measurements (by 12—84% in TROPOMI DA and by 2—70% in OMI DA). The global total NOx emissions derived from TROPOMI DA were 15% smaller than those from OMI DA due to the systematic differences between the two retrievals, while providing larger analysis increments in TROPOMI DA by 42% in global average associated with the improved global coverage and reduced uncertainty. The global TROPOMI NO2 DA can be expected to benefit studies on detailed spatial and temporal variations in ozone and nitrate aerosols and evaluation of bottom-up NOx emission inventories.