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Footprints for Paris-Romainville at 30-min resolution - 2023-09-02

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2023-09-02
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Daily flux footprints for the Paris-Romainville flux-tower in France at 30-minute temporal resolution. Each dataset contains up to 48 footprints with the following variables each: Time, X, Y, Boundary Layer Height Quality Flag, and Footprint Climatology. The flux footprints are computed using FFP as described in Kljun et al. (2015), https://doi.org/10.5194/gmd-8-3695-2015, at 10-meter spatial resolution using ETC L2 Fluxes from Romainville, PID: 11676/TwGCXiTNxEpW-Iq_r8esdE5v. The projection can be customized, but the footprints were calculated in UTM 32N.

This work is part of the ICOS Cities/PAUL Pilot Applications in Urban Landscapes project. In this version, footprints have been calculated using the ETC L2 Flux dataset for Romainville, PID: 11676/TwGCXiTNxEpW-Iq_r8esdE5v.

2023-09-02 01:00:00
2023-09-02 23:30:00
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Molinier, B., Kljun, N. (2026). Footprints for Paris-Romainville at 30-min resolution - 2023-09-02, 2023-09-02, ICOS Cities, https://hdl.handle.net/11676/nADG1gciEmkexxFAHnDrwivs
BibTex
@misc{https://hdl.handle.net/11676/nADG1gciEmkexxFAHnDrwivs,
  author={Molinier, Betty and Kljun, Natascha},
  title={Footprints for Paris-Romainville at 30-min resolution - 2023-09-02, 2023-09-02},
  year={2026},
  note={Daily flux footprints for the Paris-Romainville flux-tower in France at 30-minute temporal resolution. Each dataset contains up to 48 footprints with the following variables each: Time, X, Y, Boundary Layer Height Quality Flag, and Footprint Climatology. The flux footprints are computed using FFP as described in Kljun et al. (2015), https://doi.org/10.5194/gmd-8-3695-2015, at 10-meter spatial resolution using ETC L2 Fluxes from Romainville, PID: 11676/TwGCXiTNxEpW-Iq_r8esdE5v. The projection can be customized, but the footprints were calculated in UTM 32N.

This work is part of the ICOS Cities/PAUL Pilot Applications in Urban Landscapes project. In this version, footprints have been calculated using the ETC L2 Flux dataset for Romainville, PID: 11676/TwGCXiTNxEpW-Iq_r8esdE5v.},
  keywords={Flux footprints, atmospheric modelling, urban flux, ICOS Cities},
  url={https://hdl.handle.net/11676/nADG1gciEmkexxFAHnDrwivs},
  publisher={Carbon Portal},
  copyright={http://meta.icos-cp.eu/ontologies/cpmeta/icosLicence},
  pid={11676/nADG1gciEmkexxFAHnDrwivs}
}
RIS
TY - DATA
T1 - Footprints for Paris-Romainville at 30-min resolution - 2023-09-02, 2023-09-02
ID - 11676/nADG1gciEmkexxFAHnDrwivs
PY - 2026
AB - Daily flux footprints for the Paris-Romainville flux-tower in France at 30-minute temporal resolution. Each dataset contains up to 48 footprints with the following variables each: Time, X, Y, Boundary Layer Height Quality Flag, and Footprint Climatology. The flux footprints are computed using FFP as described in Kljun et al. (2015), https://doi.org/10.5194/gmd-8-3695-2015, at 10-meter spatial resolution using ETC L2 Fluxes from Romainville, PID: 11676/TwGCXiTNxEpW-Iq_r8esdE5v. The projection can be customized, but the footprints were calculated in UTM 32N.

This work is part of the ICOS Cities/PAUL Pilot Applications in Urban Landscapes project. In this version, footprints have been calculated using the ETC L2 Flux dataset for Romainville, PID: 11676/TwGCXiTNxEpW-Iq_r8esdE5v.
UR - https://hdl.handle.net/11676/nADG1gciEmkexxFAHnDrwivs
PB - Carbon Portal
AU - Molinier, Betty
AU - Kljun, Natascha
KW - Flux footprints
KW - atmospheric modelling
KW - urban flux
KW - ICOS Cities
ER - 
paris_footprint_230902.nc
66 MB (69420719 bytes)
3

Production

2026-02-03 11:00:00

Statistics

0

Submission

2026-02-12 15:11:19
2026-02-12 15:11:14

Technical information

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nADG1gciEmkexxFAHnDrwivsDa3l93YwCcUtXCbXyb0
S: 48.813187, W: 2.313349, N: 48.956981, E: 2.531389
Flux footprints ICOS Cities atmospheric modelling urban flux
3 pilot cities
15 countries
15 cities
30 scientific partners
13M€ funding
2021-2025
EU flag PAUL, Pilot Applications in Urban Landscapes - Towards integrated city observatories for greenhouse gases (ICOS Cities), has received funding from the European Union’s Horizon 2020 Research and Innovation Programme under grant agreement No 101037319.