The Copernicus Atmosphere Monitoring Service global and regional emissions (April 2019 version)

Granier, Claire; Darras, Sabine; Gon, Hugo Denier van der; Ďoubalová, Jana; Elguindi, Nellie; Galle, Bo; Gauss, Michael; Guevara, Marc; Jalkanen, Jukka-Pekka; Kuenen, Jeroen; Liousse, Catherine; Quack, Birgit; Simpson, David; Šindelářová, Kateřina

doi:10.24380/d0bn-kx16

Cited by 87 publications

(81 citation statements)

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“…Monthly gridded prior estimates of anthropogenic emissions were taken from the CAMS global emissions product, CAMS-GLOB-ANT v4.2, (Granier et al, 2019), which combines existing products (e.g. EDGAR: Cippa et al, 2018;CEDS: Hoesly et al, 2018).…”

Section: Forward Modelmentioning

confidence: 99%

Quantification of methane emissions from hotspots and during COVID-19 using a global atmospheric inversion

McNorton

Bousserez

Agustı́-Panareda

et al. 2022

Preprint

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Abstract. Concentrations of atmospheric methane (CH4), the second most important greenhouse gas, continue to grow. In recent years this growth rate has increased further (2020: +14.7 ppb), the cause of which remains largely unknown. Here, we demonstrate a high-resolution (~80 km), short-window (24-hour) 4D-Var global inversion system based on the ECMWF Integrated Forecasting System (IFS) and newly available satellite observations. The largest national disagreement found between prior (63.1 Tg yr−1) and posterior (59.8 Tg yr−1) CH4 emissions is from China, mainly attributed to the energy sector. Emissions estimated form our global system agree well with previous basin-wide regional studies and point source specific studies. Emission events (leaks/blowouts) >10 t hr−1 were detected, but without accurate prior uncertainty information, were not well quantified. Our results suggest that global anthropogenic CH4 emissions for 2020 were 5.7 Tg yr−1 (+1.6 %) higher than for 2019, mainly attributed to the energy and agricultural sectors. Regionally, the largest 2020 increases were seen from China (+2.6 Tg yr−1, 4.3 %), with smaller increases from India (+0.8 Tg yr−1, 2.2 %) and Indonesia (+0.3 Tg yr−1, 2.6 %). Results show the rise in emissions, and subsequent atmospheric growth, would have occurred with or without the COVID-19 slowdown. During the onset of the global slowdown (March–April, 2020) energy sector CH4 emissions from China increased; however, during later months (May–June, 2020) emissions decreased below expected pre-slowdown levels. The accumulated impact of the slowdown on CH4 emissions from March–June 2020 is found to be small. Changes in atmospheric chemistry, not investigated here, may have contributed to the observed growth in 2020. Future work aims to develop the global IFS inversion system and to extend the 4D-Var window-length using a hybrid ensemble-variational method.

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Section: Forward Modelmentioning

confidence: 99%

Quantification of methane emissions from hotspots and during COVID-19 using a global atmospheric inversion

McNorton

Bousserez

Agustı́-Panareda

et al. 2022

Preprint

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show abstract

“…Specifically, we have estimated the adjustment factor for three sectors to quantify the reduction in the emission of pollutants namely black carbon (BC), organic carbon (OC), NO x , SO₂, NH₃, CO, and non-methane volatile hydrocarbon (NMVOC). Anthropogenic emissions data from theCopernicus Atmosphere Monitoring Service(CAMS) global anthropogenic emission inventory (CAMS-GLOB-ANT_v4.2_R1.1; Granier et al, 2019 ) are used as the base emissions. The adjustment factor is generated for each sector based on the activity data for each sector on each day during April 2021 as given by Doumbia et al (2021) .…”

Section: Methodsmentioning

confidence: 99%

Drivers of air pollution variability during second wave of COVID-19 in Delhi, India

Saharan¹,

Kumar²,

Tripathy³

et al. 2022

Urban Climate

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To curb the 2nd wave of COVID-19 disease in April–May 2021, a night curfew followed by full lockdown was imposed over the National Capital Territory, Delhi. We have analyzed the observed variation in pollutants and meteorology, and role of local and transboundary emission sources during night-curfew and lockdown, as compared to pre-lockdown period and identical periods of 2020 lockdown as well as of 2018 and 2019. In 2021, concentration of pollutants (except O₃, SO₂, and toluene) declined by 4–16% during night-curfew as compared to the pre-lockdown period but these changes are not statistically significant. During lockdown in 2021, various pollutants decreased by 1–28% as compared to the night-curfew (except O₃ and PM₂.₅), but increased by 31–129% compared to the identical period of 2020 lockdown except O₃. Advection of pollutants from the region of moderate lockdown restrictions and an abrupt increase in crop-residue burning activity (120–587%) over Haryana and Punjab increased the air pollution levels over NCT during the lockdown period of 2021 as compared to 2020 in addition to a significant contribution of long-range transport. The increase in PM₂.₅ during the lockdown period of 2021 compared to 2020 might led to 5–29 additional premature mortalities.

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“…Initial conditions for the meteorology were also taken from the ERA-interim reanalysis data, while the ones for the chemical composition were from previous EMAC simulations (Pozzer et al, 2021). In addition, the anthropogenic emissions used are based on CAMS-GLOB-ANTv4.2 (Granier et al, 2019). To reproduce the effect of lockdown on the emissions, we adopted the reduction coefficient for Europe as in Guevara et al (2021) for the sectors of energy production (ENE), road transport (TRO) and industrial processes (IND).…”

Section: Model Datamentioning

confidence: 99%

Impact of reduced emissions on direct and indirect aerosol radiative forcing during COVID–19 lockdown in Europe

Reifenberg

Martin

Kohl

et al. 2021

Preprint

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Abstract. Aerosols influence the Earth’s energy balance through direct radiative effects and indirectly by altering the cloud micro-physics. Anthropogenic aerosol emissions dropped considerably when the global COVID–19 pandemic resulted in severe restraints on mobility, production, and public life in spring 2020. Here we assess the effects of these reduced emissions on direct and indirect aerosol radiative forcing over Europe, excluding contributions from contrails. We simulate the atmospheric com- position with the ECHAM5/MESSy Atmospheric Chemistry (EMAC) model in a baseline (business as usual) and a reduced emission scenario. The model results are compared to aircraft observations from the BLUESKY aircraft campaign performed in May/June 2020 over Europe. The model agrees well with most of the observations, except for sulfur dioxide, particulate sulfate and nitrate in the upper troposphere, likely due to a somewhat biased representation of stratospheric aerosol chemistry and missing information about volcanic eruptions which could have influenced the campaign. The comparison with a business as usual scenario shows that the largest relative differences for tracers and aerosols are found in the upper troposphere, around the aircraft cruise altitude, due to the reduced aircraft emissions, while the largest absolute changes are present at the surface. We also find an increase in shortwave radiation of 0.327 ± 0.105 Wm−2 at the surface in Europe for May 2020, solely attributable to the direct aerosol effect, which is dominated by decreased aerosol scattering of sunlight, followed by reduced aerosol absorption, caused by lower concentrations of inorganic and black carbon aerosols in the troposphere. A further in- crease in shortwave radiation from aerosol indirect effects was found to be much smaller than its variability. Impacts on ice crystal- and cloud droplet number concentrations and effective crystal radii are found to be negligible.

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The Copernicus Atmosphere Monitoring Service global and regional emissions (April 2019 version)

Cited by 87 publications

References 0 publications

Quantification of methane emissions from hotspots and during COVID-19 using a global atmospheric inversion

Quantification of methane emissions from hotspots and during COVID-19 using a global atmospheric inversion

Drivers of air pollution variability during second wave of COVID-19 in Delhi, India

Impact of reduced emissions on direct and indirect aerosol radiative forcing during COVID–19 lockdown in Europe

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