Working Group Co-Chairs |
Marc Guevara, Barcelona Supercomputing Center, Earth Sciences department, marc.guevara@bsc.es
Brian McDonald, National Oceanic and Atmospheric Administration Chemical Sciences Laboratory, brian.mcdonald@noaa.gov
Key Publication:
Guevara, M., Petetin, H., Jorba, O., Denier van der Gon, H., Kuenen, J., Super, I., Granier, C., Doumbia, T., Ciais, P., Liu, Z., Lamboll, R. D., Schindlbacher, S., Matthews, B., and Pérez García-Pando, C.: Towards near-real-time air pollutant and greenhouse gas emissions: lessons learned from multiple estimates during the COVID-19 pandemic, Atmos. Chem. Phys., 23, 8081–8101, https://doi.org/10.5194/acp-23-8081-2023, 2023.
Overview
To control the spread of the COVID-19 disease, governments are implementing emergency measures going from light social distancing to strict lockdowns, depending on the country. As a consequence, many industries, businesses and transportation networks are being impacted, which results in an unprecedented drop of anthropogenic emissions, including of both criteria air pollutants and greenhouse gases. The use of ground-based and satellite observational datasets is being widely used to monitor and evaluate the impact ofthe COVID-19 outbreak on pollution levels and climate. However, a complete understanding requires also the quantification of emission changes from primary pollutants, which can later be used for modelling purposes. This quantification comes with a series of challenges, including: the heterogeneous impact of the COVID-19 restrictions across countries and pollutant sectors, the need to use near-real-time activity data that captures the precise timing of changes in emissions in different regions and sectors.
Key points:
- The focus of the WG will be global and include both criteria and GHG pollutants
- The activities should cover not only the 1st lockdown period, but also reopening phases, subsequent lockdowns, as well as the transition period towards a post-pandemic situation.
- The WG will provide guidance for the compilation of COVID-19 emission inventories. The guidance should target not only emission modellers but also data providers and inverse modellers (e.g. coordination with the AMIGO initiative)
- The WG will use the best available science to compile and provide a rigorous mosaic of regional and global COVID-19 emissions for the modelling community.
- We anticipate the WG to be a multi-year effort given the size and duration of the COVID-19 pandemic.
Priorities Priorities of the COVID19-WG are divided according to time frames:
· short-term:
o To identify key regional and global experts currently working on the quantification of COVID-19 emissions and create a network where information, data, knowledge and experience can be exchanged.
o To identify, review and facilitate access through the ECCAD system to the latest available COVID-19 emission inventories.
· mid-term:
o To identify and assess the methods and proxies used to compute the emission changes for the different sectors in developed and developing countries
o To provide sector-by-sector guidance on the compilation of COVID-19 emissions and its adaptation for air quality modelling
o To perform intercomparison exercises between COVID-19 emission inventories (global versus regional and regional versus regional)
· long-term:
o To develop and evaluate a mosaic of global and regional COVID-19 emission adjustment factors to quantify emission changes and perform modelling studies
Working Group Co-Chairs |
Marc Guevara, Barcelona Supercomputing Center, Earth Sciences department, marc.guevara@bsc.es
Brian McDonald, National Oceanic and Atmospheric Administration Chemical Sciences Laboratory, brian.mcdonald@noaa.gov
Working Group Members
Region | Expert | Organization |
Africa | Seikou Keita | UPGC |
Africa | Mogesh Naidoo | CSIR |
Asia (China) | Yuxuan Wang | UH |
Asia (China) | Qiang Zhang | THU |
Asia (China) | Bo Zheng | THU |
Asia (India) | Vinayak Sinha | IISER Mohali |
Asia (India) | Baerbel Sinha | IISER Mohali |
Australia | Robyn Schofield | Unimelb |
Europe | Marc Guevara | BSC |
Europe | Hugo Denier van der Gon | TNO |
Europe | Ingrid Super | TNO |
Latin America | Mauricio Osses | USM |
North America (Canada) | Mike Moran | ECCC |
North America (Mexico) | José Abraham Ortínez Alvarez | INECC |
North America (USA) | Brian McDonald | NOAA |
North America (USA) | Eyth Alison | EPA |
North America (USA) | Janice Godfrey | EPA |
North America (USA) | George Pouliot | EPA |
North America (USA) | Daiwen Kang | EPA |
North America (USA) | Karl Seltzer | EPA |
North America (USA) | Tom Oda | USRA |
North America (USA) | Bok Haeng Baek | GMU |
South America | Nicolas Huneeus | Uchile |
South America | Paula Castesana | CNEA |
South America | Melisa Diaz | CNEA |
Global | Thierno Doumbia | CNRS |
Global | Claire Granier | CNRS / NOAA |
Global | Monica Crippa | JRC |
Global | Steve Smith | PNNL |
Global | Fei Liu | USRA |
Global | Zhu Liu | THU |
Global | Philippe Ciais | LSCE |
Global | Lamboll, Robin D | ICL |
COVID Related Datasets - Please let Co-Chairs know if there are other datasets to add to this list.
Working Group Co-Chairs: Marc Guevara, Barcelona Supercomputing Center, Earth Sciences department, marc.guevara@bsc.es
Brian McDonald, National Oceanic and Atmospheric Administration Chemical Sciences Laboratory, brian.mcdonald@noaa.gov
Name | Adjustment factors spatial resolution | Spatial coverage | Temporal resolution | Temporal coverage | Species | Sectors | References | Comments |
CAMS-COVID19 | Country level | Europe | Daily | Jan-Dec 2020 | NOx, SOx, CO, NMVOC, NH3, PM10, PM2.5, CO2_fossilfuel, CO2_biofuel, CH4 | energy industry, manufacturing industry, road transport, residential/commercial combustion, off road transport, solvents, fugitives emissions from fossil fuels, aviation, shipping | Guevara et al. (2022) |
Collection of COVID-19 emission adjustment factors available from https://doi.org/10.24380/k966-3957 CAMS-REG_v5.1 2020 business-as-usual 2020 gridded inventory available from |
CONFORM | 0.1 x 0.1 deg | Global | Daily | Jan-Dec 2020 | NOx, SOx, CO, NMVOC, NH3, OC, BC, CO2, CH4 | transportation (road, air and ship traffic), power generation, industry, residential, commercial and public sectors | Doumbia et al. (2021) | Available from https://permalink.aeris-data.fr/CONFORM |
Zheng et al. | Province level | China | Monthly | Jan-Dec 2020 | SO2, NOx, CO, NMVOCs, PM2.5, BC | power, industry, residential and transportation | Zheng et al. (2021) | Available from https://doi.org/10.6084/m9.figshare.c.5214920.v2 |
Forster et al. | Country level | Global | Daily | Jan 2020 - until present day | NOx, SOx, CO, NMVOC, NH3, BC, OC, CO2, CH4, N2O | surface transport, residential, power, industry, public and aviation | Forster et al. (2020) | Available from https://github.com/Priestley-Centre/COVID19_emissions |
Liu et al. | Country level | Global | Daily | Jan 2020 - until present day | CO2 | ground transport, residential, power, industry, aviation | Liu et al. (2020) | Available from https://www.carbonmonitor.org.cn/ |
Harkins et al. | State level | US | Monthly | Jan-Dec 2019/2020 | NOx, SOx, CO, NMVOC, NH3, PM2.5, CO2 | transportation (on-road and off-road) | Harkins et al. (2020) | Available from https://csl.noaa.gov/groups/csl7/measurements/2020covid-aqs/emissions/ |
Puliafito et al. | 0.025 x 0.025 deg | Argentina | Monthly | Jan 1995 -April 2020 (now upatding till April 2021) | NOx, SOx, CO, NMVOC, NH3, OC, BC, CO2, CH4, N2O, PM10, PM2.5 | energy industry, manufacturing industry, road transport, residential/commercial combustion, off road transport, fugitives emissions from fossil fuels, aviation, shipping | Puliafito at al. (2021) | Available from https://data.mendeley.com/datasets/d6xrhpmzdp/1 |
GEIA COVID-19 Online Workshop
25 October 2021
Please view the full workshop here.https://drive.google.com/file/d/1ncxQEdLB0JSbqSjtkHRQ8e_0oeKwOkx3/view
Click on the names to view the slides.
Introduction/Welcome (M. Guevara, B. McDonald)
· Introduction (M. Guevara)
· Impact of lockdowns and winter temperatures on natural gas consumption in Europe (P. Ciais)
· Role of emissions and meteorology for air quality improvements during lockdowns in Central Europe (V. Matthias)
· A proxy-based extrapolation of 2020 business-as-usual and COVID-19 and emissions (I. Super)
· A new CAMS emission dataset to quantify impact of lockdown on primary European emissions (M. Guevara)
· Introduction (B. McDonald)
· Developing near real-time COVID-19 emissions over the US (B. McDonald)
· Rapid refresh of emissions at the NOAA Air Resources Laboratory (P. Campbell)
· Ongoing US EPA efforts to reflect COVID-19 induced impacts on the 2020 NEI modeling platform (K. Seltzer)
· Vulcan-NRT: latest updates to generating near-real-time FFCO2 emissions estimates in the Volcan Project (K. Gurney)
· Introduction (M. Osses)
· Air quality and emissions changes during COVID-19 lockdown in Argentina (E. Puliafito)
· Photochemical sensitivity to emissions and local meteorology of three South American megacities during the COVID-19 lockdown: Bogotá, Santiago, and São Paulo (R. Sequel)
· Introduction (C. Granier)
· Covid-19 lockdowns impacts on the global CO2 budget (P. Ciais)
· Use of unconventional activity data to quantify the impact of Covid lockdowns on traffic emissions (T. Oda)
· The CovidMIP Model Intercomparison Project (R. Lamboll)
· Covid-19 adjustment factors for global emissions of pollutants and greenhouse gases (T. Doumbia / B. Gaubert)
· Implementation of the impact of Covid-19 lockdowns in the CEDS emissions dataset (S. Smith)