TY - JOUR
T1 - Atmospheric impacts of COVID-19 on NOx and VOC levels over China based on TROPOMI and IASI satellite data and modeling
AU - Stavrakou, Trissevgeni
AU - Müller, Jean François
AU - Bauwens, Maite
AU - Doumbia, Thierno
AU - Elguindi, Nellie
AU - Darras, Sabine
AU - Granier, Claire
AU - De Smedt, Isabelle
AU - Lerot, Christophe
AU - Van Roozendael, Michel
AU - Franco, Bruno
AU - Clarisse, Lieven
AU - Clerbaux, Cathy
AU - Coheur, Pierre François
AU - Liu, Yiming
AU - Wang, Tao
AU - Shi, Xiaoqin
AU - Gaubert, Benjamin
AU - Tilmes, Simone
AU - Brasseur, Guy
N1 - Funding Information:
Funding: This research has been funded by the TROVA-E2 (2019–2023) project of the European Space Agency funded by the Belgian Science Policy Office (BELSPO), and the GLYRETRO (2019–2021) and ICOVAC (2020–2021) projects funded by the European Space Agency (ESA). BIRA-IASB acknowledges national funding from BELSPO and ESA through the ProDEx TRACE-S5P project. This work includes modified Copernicus Sentinel-5 Precursor satellite data post-processed by BIRA-IASB. TROPOMI HCHO developments are carried out in the frame of the Copernicus Sentinel-5 Precursor Mission Performance Centre (S5p MPC), contracted by ESA/ESRIN (Contract No. 4000117151/16/I-LG) and supported by BELSPO, BIRA-IASB, and the German Aerospace Centre (DLR). IASI is a joint mission of Eumetsat and the Centre National d’Etudes Spatiales (CNES, France). Development of the IASI PAN product has been supported by the project OCTAVE of the Belgian Research Action through Interdisciplinary Networks (BRAIN-be; 2017–2021; Research project BR/175/A2/OCTAVE) and by the IASI.Flow Prodex arrangement (ESA-BELSPO). L. Clarisse is a research associate supported by the F.R.S.-FNRS. The CAMS-GLOB-ANT dataset has been developed with the support of the CAMS (Copernicus Atmosphere Monitoring Service), operated by the European Centre for Medium-Range Weather Forecasts on behalf of the European Commission as part of the Copernicus Programme. T. Wang and Y. Liu acknowledge support by the Hong Kong Research Grants Council (T24-504/17-N and A-555PolyU502/16). The work has been partly supported by the National Center for Atmospheric Research (NCAR), which is a major facility sponsored by the National Science Foundation under cooperative agreement n◦ 1852977.
Funding Information:
This research has been funded by the TROVA-E2 (2019-2023) project of the European Space Agency funded by the Belgian Science Policy Office (BELSPO), and the GLYRETRO (2019-2021) and ICOVAC (2020-2021) projects funded by the European Space Agency (ESA). BIRA-IASB acknowledges national funding from BELSPO and ESA through the ProDEx TRACE-S5P project. This work includes modified Copernicus Sentinel-5 Precursor satellite data post-processed by BIRA-IASB. TROPOMI HCHO developments are carried out in the frame of the Copernicus Sentinel-5 Precursor Mission Performance Centre (S5p MPC), contracted by ESA/ESRIN (Contract No. 4000117151/16/ILG) and supported by BELSPO, BIRA-IASB, and the German Aerospace Centre (DLR). IASI is a joint mission of Eumetsat and the Centre National d?Etudes Spatiales (CNES, France). Development of the IASI PAN product has been supported by the project OCTAVE of the Belgian Research Action through Interdisciplinary Networks (BRAIN-be; 2017-2021; Research project BR/175/A2/OCTAVE) and by the IASI.Flow Prodex arrangement (ESA-BELSPO). L. Clarisse is a research associate supported by the F.R.S.-FNRS. The CAMS-GLOB-ANT dataset has been developed with the support of the CAMS (Copernicus Atmosphere Monitoring Service), operated by the European Centre for Medium-RangeWeather Forecasts on behalf of the European Commission as part of the Copernicus Programme. T.Wang and Y. Liu acknowledge support by the Hong Kong Research Grants Council (T24-504/17-N and A-555PolyU502/16). The work has been partly supported by the National Center for Atmospheric Research (NCAR), which is a major facility sponsored by the National Science Foundation under cooperative agreement no 1852977.
Publisher Copyright:
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.
PY - 2021/8
Y1 - 2021/8
N2 - China was the first country to undergo large-scale lockdowns in response to the pandemic in early 2020 and a progressive return to normalization after April 2020. Spaceborne observations of atmospheric nitrogen dioxide (NO2) and oxygenated volatile organic compounds (OVOCs), including formaldehyde (HCHO), glyoxal (CHOCHO), and peroxyacetyl nitrate (PAN), reveal important changes over China in 2020, relative to 2019, in response to the pandemic-induced shutdown and the subsequent drop in pollutant emissions. In February, at the peak of the shutdown, the observed declines in OVOC levels were generally weaker (less than 20%) compared to the observed NO2 reductions (-40%). In May 2020, the observations reveal moderate decreases in NO2 (-15%) and PAN (-21%), small changes in CHOCHO (-3%) and HCHO (6%). Model simulations using the regional model MAGRITTEv1.1 with anthropogenic emissions accounting for the reductions due to the pandemic explain to a large extent the observed changes in lockdown-affected regions. The model results suggest that meteorological variability accounts for a minor but non-negligible part (~-5%) of the observed changes for NO2, whereas it is negligible for CHOCHO but plays a more substantial role for HCHO and PAN, especially in May. The interannual variability of biogenic and biomass burning emissions also contribute to the observed variations, explaining e.g., the important column increases of NO2 and OVOCs in February 2020, relative to 2019. These changes are well captured by the model simulations.
AB - China was the first country to undergo large-scale lockdowns in response to the pandemic in early 2020 and a progressive return to normalization after April 2020. Spaceborne observations of atmospheric nitrogen dioxide (NO2) and oxygenated volatile organic compounds (OVOCs), including formaldehyde (HCHO), glyoxal (CHOCHO), and peroxyacetyl nitrate (PAN), reveal important changes over China in 2020, relative to 2019, in response to the pandemic-induced shutdown and the subsequent drop in pollutant emissions. In February, at the peak of the shutdown, the observed declines in OVOC levels were generally weaker (less than 20%) compared to the observed NO2 reductions (-40%). In May 2020, the observations reveal moderate decreases in NO2 (-15%) and PAN (-21%), small changes in CHOCHO (-3%) and HCHO (6%). Model simulations using the regional model MAGRITTEv1.1 with anthropogenic emissions accounting for the reductions due to the pandemic explain to a large extent the observed changes in lockdown-affected regions. The model results suggest that meteorological variability accounts for a minor but non-negligible part (~-5%) of the observed changes for NO2, whereas it is negligible for CHOCHO but plays a more substantial role for HCHO and PAN, especially in May. The interannual variability of biogenic and biomass burning emissions also contribute to the observed variations, explaining e.g., the important column increases of NO2 and OVOCs in February 2020, relative to 2019. These changes are well captured by the model simulations.
KW - Anthropogenic emissions
KW - Atmospheric modeling
KW - COVID-19
KW - Formaldehyde
KW - Nitrogen dioxide
KW - Volatile organic compounds
UR - http://www.scopus.com/inward/record.url?scp=85111619130&partnerID=8YFLogxK
U2 - 10.3390/atmos12080946
DO - 10.3390/atmos12080946
M3 - Journal article
AN - SCOPUS:85111619130
SN - 2073-4433
VL - 12
JO - ATMOSPHERE
JF - ATMOSPHERE
IS - 8
M1 - 946
ER -