High-resolution, near-real-time fluxes over Europe from CTE-HR: anthropogenic emissions 2019-10
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Latest version(s):
NH0fhjbrjit2738j20DRTJae
11676/UNadmKsF4qLW3ESybjgFe8P1 (link)
Hourly estimates of fossil fuel emission (including biofuel), based on a range of sources. They include emissions from public power, industry, households, ground transport, aviation, shipping, and calcination of cement. Our product does not include carbonation of cement and human respiration. Public power is based on ENTSO-E data (https://transparency.entsoe.eu/), Industry, Ground transport, Aviation, and Shipping is based on Eurostat data (https://ec.europa.eu/eurostat/databrowser/). Household emissions are based on a degree-day model, driven by ERA5 reanalysis data. Spatial distributions of the emissions are based on CAMS data (https://doi.org/10.5194/essd-14-491-2022). Cement emissions are taken from GridFED V.2021.3 (https://zenodo.org/record/5956612#.YoTmvZNBy9F). For more information, see https://doi.org/10.5281/zenodo.6477331
2019-10-01 00:00:00
2019-10-31 23:00:00
hourly
van der Woude, A., de Kok, R., Luijkx, I., Peters, W., Smith, N. (2022). High-resolution, near-real-time fluxes over Europe from CTE-HR: anthropogenic emissions 2019-10, ICOS RI, https://hdl.handle.net/11676/UNadmKsF4qLW3ESybjgFe8P1
BibTex
@misc{https://hdl.handle.net/11676/UNadmKsF4qLW3ESybjgFe8P1, author={van der Woude, Auke and de Kok, Remco and Luijkx, Ingrid and Peters, Wouter and Smith, Naomi}, title={High-resolution, near-real-time fluxes over Europe from CTE-HR: anthropogenic emissions 2019-10}, year={2022}, note={Hourly estimates of fossil fuel emission (including biofuel), based on a range of sources. They include emissions from public power, industry, households, ground transport, aviation, shipping, and calcination of cement. Our product does not include carbonation of cement and human respiration. Public power is based on ENTSO-E data (https://transparency.entsoe.eu/), Industry, Ground transport, Aviation, and Shipping is based on Eurostat data (https://ec.europa.eu/eurostat/databrowser/). Household emissions are based on a degree-day model, driven by ERA5 reanalysis data. Spatial distributions of the emissions are based on CAMS data (https://doi.org/10.5194/essd-14-491-2022). Cement emissions are taken from GridFED V.2021.3 (https://zenodo.org/record/5956612#.YoTmvZNBy9F). For more information, see https://doi.org/10.5281/zenodo.6477331 }, keywords={carbon flux}, url={https://hdl.handle.net/11676/UNadmKsF4qLW3ESybjgFe8P1}, publisher={Carbon Portal}, copyright={http://meta.icos-cp.eu/ontologies/cpmeta/icosLicence}, pid={11676/UNadmKsF4qLW3ESybjgFe8P1} }
RIS
TY - DATA T1 - High-resolution, near-real-time fluxes over Europe from CTE-HR: anthropogenic emissions 2019-10 ID - 11676/UNadmKsF4qLW3ESybjgFe8P1 PY - 2022 AB - Hourly estimates of fossil fuel emission (including biofuel), based on a range of sources. They include emissions from public power, industry, households, ground transport, aviation, shipping, and calcination of cement. Our product does not include carbonation of cement and human respiration. Public power is based on ENTSO-E data (https://transparency.entsoe.eu/), Industry, Ground transport, Aviation, and Shipping is based on Eurostat data (https://ec.europa.eu/eurostat/databrowser/). Household emissions are based on a degree-day model, driven by ERA5 reanalysis data. Spatial distributions of the emissions are based on CAMS data (https://doi.org/10.5194/essd-14-491-2022). Cement emissions are taken from GridFED V.2021.3 (https://zenodo.org/record/5956612#.YoTmvZNBy9F). For more information, see https://doi.org/10.5281/zenodo.6477331 UR - https://hdl.handle.net/11676/UNadmKsF4qLW3ESybjgFe8P1 PB - Carbon Portal AU - van der Woude, Auke AU - de Kok, Remco AU - Luijkx, Ingrid AU - Peters, Wouter AU - Smith, Naomi KW - carbon flux ER -
anthropogenic.201910.nc
554 MB (580437140 bytes)
3
Production
2022-11-01 09:44:00
In the previous version, the file did not contain the correct Public Power and Residential Heating from the degree-day model (see Van der Woude et al. https://doi.org/10.5194/essd-2022-175), but rather contained the CAMS diurnal profiles.
Previewable variables
Statistics
5
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Technical information
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UNadmKsF4qLW3ESybjgFe8P1x+0Shlhz7OgFeNcE8Hs
S: 33, W: -15, N: 72, E: 35
ICOS
carbon flux