ICOS

Footprints for Paris-Romainville at 30-min resolution - 2024-03-21

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2024-03-21
11676/gb8m3uUSN95DToeMwp2PVQED (link)

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, https://hdl.handle.net/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, the axis definition follows the netCDF C API requirements. Please note that the netCDF C API (this file) interprets data as row major, and consequently MATLAB users must transpose it.
2024-03-21 02:00:00
2024-03-21 22:30:00
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Molinier, B., Kljun, N. (2026). Footprints for Paris-Romainville at 30-min resolution - 2024-03-21, 2024-03-21, ICOS Cities, https://hdl.handle.net/11676/gb8m3uUSN95DToeMwp2PVQED
BibTex
@misc{https://hdl.handle.net/11676/gb8m3uUSN95DToeMwp2PVQED,
  author={Molinier, Betty and Kljun, Natascha},
  title={Footprints for Paris-Romainville at 30-min resolution - 2024-03-21, 2024-03-21},
  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, https://hdl.handle.net/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.},
  keywords={Flux footprints, atmospheric modelling, urban flux, ICOS Cities},
  url={https://hdl.handle.net/11676/gb8m3uUSN95DToeMwp2PVQED},
  publisher={Carbon Portal},
  copyright={http://meta.icos-cp.eu/ontologies/cpmeta/icosLicence},
  pid={11676/gb8m3uUSN95DToeMwp2PVQED}
}
RIS
TY - DATA
T1 - Footprints for Paris-Romainville at 30-min resolution - 2024-03-21, 2024-03-21
ID - 11676/gb8m3uUSN95DToeMwp2PVQED
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, https://hdl.handle.net/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.
UR - https://hdl.handle.net/11676/gb8m3uUSN95DToeMwp2PVQED
PB - Carbon Portal
AU - Molinier, Betty
AU - Kljun, Natascha
KW - Flux footprints
KW - atmospheric modelling
KW - urban flux
KW - ICOS Cities
ER - 
paris_footprint_240321.nc
44 MB (46557611 bytes)
3

Acquisition

2024-03-21 02:00:00
2024-03-21 22:30:00

Production

2026-02-03 11:00:00

Statistics

3

Submission

2026-02-12 15:27:31
2026-02-12 15:27:27

Technical information

81bf26dee51237de434e878cc29d8f550103bb6fdd819683a5a4a6d970094fe1
gb8m3uUSN95DToeMwp2PVQEDu2/dgZaDpaSm2XAJT+E
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.