High-resolution, near-real-time fluxes over Europe from CTE-HR: anthropogenic emissions 2018-04
Deprecated data
Latest version(s):
1h6-G4F0vR60bzbH5AEpCxEI
11676/hmEybPNE8tCOhKZ3hPvIitMD (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
2018-04-01 00:00:00
2018-04-30 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 2018-04, ICOS RI, https://hdl.handle.net/11676/hmEybPNE8tCOhKZ3hPvIitMD
BibTex
@misc{https://hdl.handle.net/11676/hmEybPNE8tCOhKZ3hPvIitMD, 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 2018-04}, 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/hmEybPNE8tCOhKZ3hPvIitMD}, publisher={Carbon Portal}, copyright={http://meta.icos-cp.eu/ontologies/cpmeta/icosLicence}, pid={11676/hmEybPNE8tCOhKZ3hPvIitMD} }
RIS
TY - DATA T1 - High-resolution, near-real-time fluxes over Europe from CTE-HR: anthropogenic emissions 2018-04 ID - 11676/hmEybPNE8tCOhKZ3hPvIitMD 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/hmEybPNE8tCOhKZ3hPvIitMD 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.201804.nc
536 MB (561717140 bytes)
3
Production
2022-11-01 09:32:00
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
7
0
Technical information
8661326cf344f2d08e84a67784fbc88ad303c7e979632f6f128afcd81797be8b
hmEybPNE8tCOhKZ3hPvIitMDx+l5Yy9vEor82BeXvos
S: 33, W: -15, N: 72, E: 35
ICOS
carbon flux