Reconstruction of Spatially Continuous OMI Tropospheric NO2 Columns over China by Combining GOME-2 Product
Abstract
Measurements of nitrogen dioxide (NO2) are essential for understanding air pollution and evaluating its impacts, and satellite remote sensing is an important approach for obtaining tropospheric NO2 columns over wide temporal and spatial ranges. However, Ozone Monitoring Instrument (OMI) onboard Aura is affected by a loss of spatial coverage (around one-third of 60 viewing positions) commonly referred to as row anomaly since June 25th, 2007, and especially after January 24th, 2009. Global Ozone Monitoring Experiment-2 (GOME-2) onboard MetOp-A/B provides data with a maximum swath width of 1920 km and it needs 1.5 days to cover the globe. Therefore, it is difficult to obtain diurnal spatially continuous vertical column densities (VCDs) of tropospheric NO2, which is limited by the performance of the instruments. Besides, the presence of clouds generates numerous missing and abnormal values that affect the application of VCDs data. To fill data gaps due to the above two reasons, this study proposes a framework for reconstructing OMI (afternoon overpass) tropospheric NO2 VCDs over China by combining GOME-2 (morning overpass) product. The reconstructed data set shows spatial and temporal patterns that are coherent with the adjacent areas. Our approach has great potential for reconstructing spatially continuous tropospheric NO2 columns which are critical for daily air quality monitoring.
- Publication:
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AGU Fall Meeting Abstracts
- Pub Date:
- December 2019
- Bibcode:
- 2019AGUFM.A41A..06Q
- Keywords:
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- 0305 Aerosols and particles;
- ATMOSPHERIC COMPOSITION AND STRUCTURE;
- 0322 Constituent sources and sinks;
- ATMOSPHERIC COMPOSITION AND STRUCTURE;
- 0345 Pollution: urban and regional;
- ATMOSPHERIC COMPOSITION AND STRUCTURE;
- 0368 Troposphere: constituent transport and chemistry;
- ATMOSPHERIC COMPOSITION AND STRUCTURE