High-resolution, near-real-time fluxes over Europe from CTE-HR: anthropogenic emissions per sector 2019-01
Deprecated data
Latest version(s):
NqYP1PMWuudS4FHvUoY-ifoC
11676/2IPbAEbzNHkl50V8mszyvXta (link)
Hourly estimates of fossil fuel (including biofuel) emission, 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
2019-01-01 00:00:00
2019-01-31 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 per sector 2019-01, ICOS RI, https://hdl.handle.net/11676/2IPbAEbzNHkl50V8mszyvXta
BibTex
@misc{https://hdl.handle.net/11676/2IPbAEbzNHkl50V8mszyvXta, 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 per sector 2019-01}, year={2022}, note={Hourly estimates of fossil fuel (including biofuel) emission, 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/11676/2IPbAEbzNHkl50V8mszyvXta}, publisher={Carbon Portal}, copyright={http://meta.icos-cp.eu/ontologies/cpmeta/icosLicence}, pid={11676/2IPbAEbzNHkl50V8mszyvXta} }
RIS
TY - DATA T1 - High-resolution, near-real-time fluxes over Europe from CTE-HR: anthropogenic emissions per sector 2019-01 ID - 11676/2IPbAEbzNHkl50V8mszyvXta PY - 2022 AB - Hourly estimates of fossil fuel (including biofuel) emission, 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/11676/2IPbAEbzNHkl50V8mszyvXta 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.persector.201901.nc
3 GB (2902074388 bytes)
3
Production
2022-11-01 09:38:00
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
Name | Value type | Unit | Quantity kind | Preview |
---|---|---|---|---|
A_Public_power | CO2 emission from public power sector | mol m-2 s-1 | particle flux | Preview |
B_Industry | CO2 emission from industry sector | mol m-2 s-1 | particle flux | Preview |
C_Other_stationary_combustion_consumer | CO2 emission from other stationary combustion consumer | mol m-2 s-1 | particle flux | Preview |
F_On-road | CO2 emission from on-road | mol m-2 s-1 | particle flux | Preview |
H_Aviation | CO2 emission from aviation | mol m-2 s-1 | particle flux | Preview |
I_Off-road | CO2 emission from off-road | mol m-2 s-1 | particle flux | Preview |
G_Shipping | CO2 emission from shipping | mol m-2 s-1 | particle flux | Preview |
cement | cement calcination CO2 emission | mol m-2 s-1 | particle flux | Preview |
combustion | anthropogenic combustion CO2 emission | mol m-2 s-1 | particle flux | Preview |
anthropogenic | anthropogenic CO2 emission including cement | mol m-2 s-1 | particle flux | Preview |
Statistics
3
0
Technical information
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2IPbAEbzNHkl50V8mszyvXtavePHcijfDZWgc2vj5uM
S: 33, W: -15, N: 72, E: 35
ICOS
carbon flux