This is a Preprint and has not been peer reviewed. The published version of this Preprint is available: https://doi.org/10.1126/sciadv.abn9683. This is version 1 of this Preprint.
Downloads
Authors
Abstract
As atmospheric methane concentrations increase at record pace, it is critical to identify individual emission sources with high potential for mitigation. Landfills are responsible for large methane emissions that can be readily abated but have been sparsely observed. Here we leverage the synergy between satellite instruments with different spatiotemporal coverage and resolution to detect and quantify emissions from individual landfill facilities. We use the global surveying Tropospheric Monitoring Instrument (TROPOMI) to identify large emission hot spots, and then zoom in with high-resolution target-mode observations from the GHGSat instrument suite to identify the responsible facilities and characterize their emissions. Using this ‘tip and cue’ approach, we detect and analyze strongly emitting landfills (3-29 t hr−1) in Buenos Aires (Argentina), Delhi (India), Lahore (Pakistan), and Mumbai (India). We find that city-level emissions are 1.6-2.8 times larger than reported in commonly used emission inventories and that the landfills contribute 5-47% of those emissions. Our work demonstrates how complementary satellites enable global detection, identification, and monitoring of methane super-emitters at the facility-level.
DOI
https://doi.org/10.31223/X5N33G
Subjects
Atmospheric Sciences
Keywords
methane, TROPOMI, GHGSat, Landfills, Methane emissions
Dates
Published: 2021-12-28 15:43
Last Updated: 2021-12-28 23:43
License
CC BY Attribution 4.0 International
Additional Metadata
Data Availability (Reason not available):
TROPOMI data are available at https://ftp.sron.nl/open-access-data-2/ TROPOMI/tropomi/ch4/14_14_Lorente_et_al_2020_AMTD/. Example GHGSat-D/C1/C2 methane column data are available upon request. The WRF-Chem model code can be downloaded at https://ruc.noaa.gov/wrf/wrf-chem/. GEOS-FP wind data can be downloaded at gmao.gsfc.nasa.gov/GMAO_products. ERA5 wind data are available at https://cds.climate.copernicus.eu. The NCEP meteorology are available at https://rda.ucar.edu/datasets/ds094.0/. The CAMS boundary conditions are available at https://apps.ecmwf.int/datasets/data/ cams-nrealtime/levtype=pl/. EDGAR v5.0 emissions are available at edgar. jrc.ec.europa.eu/overview.php?v=50_GHG, Scarpelli et al. (38) emissions can be retrieved from https://doi.org/10.7910/DVN/HH4EUM, and WetCHARTs emissions are available at https://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=1502. Additional information related to this paper may be requested from the authors.
There are no comments or no comments have been made public for this article.