Skip to main content

Footprints for Munich-Oberpostdirektion at 30-min resolution - 2026-02-28

Download
2026-02-28
11676/IZuK0mJ5Oi9J7QHiK8Vl5VBf (link)

Daily flux footprints for the Munich-Oberpostdirektion flux-tower in Germany 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 Oberpostdirektion, https://hdl.handle.net/11676/WNOldo0yJzYBwDyrywI3oQaX. 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.

This data file was produced following the netCDF C API requirements for axis definitions (row major).
2026-02-28 07:30:00
2026-02-28 23:30:00
Molinier, B., Kljun, N. (2026). Footprints for Munich-Oberpostdirektion at 30-min resolution - 2026-02-28, 2026-02-28, ICOS Cities, https://hdl.handle.net/11676/IZuK0mJ5Oi9J7QHiK8Vl5VBf
BibTex
@misc{https://hdl.handle.net/11676/IZuK0mJ5Oi9J7QHiK8Vl5VBf,
  author={Molinier, Betty and Kljun, Natascha},
  title={Footprints for Munich-Oberpostdirektion at 30-min resolution - 2026-02-28, 2026-02-28},
  year={2026},
  note={Daily flux footprints for the Munich-Oberpostdirektion flux-tower in Germany 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 Oberpostdirektion, https://hdl.handle.net/11676/WNOldo0yJzYBwDyrywI3oQaX. 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/IZuK0mJ5Oi9J7QHiK8Vl5VBf},
  publisher={Carbon Portal},
  copyright={http://meta.icos-cp.eu/ontologies/cpmeta/icosLicence},
  pid={11676/IZuK0mJ5Oi9J7QHiK8Vl5VBf}
}
RIS
TY - DATA
T1 - Footprints for Munich-Oberpostdirektion at 30-min resolution - 2026-02-28, 2026-02-28
ID - 11676/IZuK0mJ5Oi9J7QHiK8Vl5VBf
PY - 2026
AB - Daily flux footprints for the Munich-Oberpostdirektion flux-tower in Germany 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 Oberpostdirektion, https://hdl.handle.net/11676/WNOldo0yJzYBwDyrywI3oQaX. 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/IZuK0mJ5Oi9J7QHiK8Vl5VBf
PB - Carbon Portal
AU - Molinier, Betty
AU - Kljun, Natascha
KW - Flux footprints
KW - atmospheric modelling
KW - urban flux
KW - ICOS Cities
ER - 
munich_footprint_260228.nc
49 MB (51567234 bytes)
3

Acquisition

2026-02-28 07:30:00
2026-02-28 23:30:00

Production

2026-05-21 11:54:00

Statistics

0

Submission

2026-06-29 14:59:07
2026-06-29 14:59:05

Technical information

219b8ad262793a2f49ed01e22bc565e5505f931b6ff16b0a14ad97cc458e7dbe
IZuK0mJ5Oi9J7QHiK8Vl5VBfkxtv8WsKFK2XzEWOfb4
S: 48.080071, W: 11.449206, N: 48.214891, E: 11.650665
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.