Skip to main content

Footprints for Munich-Oberpostdirektion at 30-min resolution - 2025-08-04

Download
2025-08-04
11676/kE2Yyvakkj11e4es00HdiF7s (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).
2025-08-04 00:00:00
2025-08-04 23:30:00
Molinier, B., Kljun, N. (2026). Footprints for Munich-Oberpostdirektion at 30-min resolution - 2025-08-04, 2025-08-04, ICOS Cities, https://hdl.handle.net/11676/kE2Yyvakkj11e4es00HdiF7s
BibTex
@misc{https://hdl.handle.net/11676/kE2Yyvakkj11e4es00HdiF7s,
  author={Molinier, Betty and Kljun, Natascha},
  title={Footprints for Munich-Oberpostdirektion at 30-min resolution - 2025-08-04, 2025-08-04},
  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/kE2Yyvakkj11e4es00HdiF7s},
  publisher={Carbon Portal},
  copyright={http://meta.icos-cp.eu/ontologies/cpmeta/icosLicence},
  pid={11676/kE2Yyvakkj11e4es00HdiF7s}
}
RIS
TY - DATA
T1 - Footprints for Munich-Oberpostdirektion at 30-min resolution - 2025-08-04, 2025-08-04
ID - 11676/kE2Yyvakkj11e4es00HdiF7s
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/kE2Yyvakkj11e4es00HdiF7s
PB - Carbon Portal
AU - Molinier, Betty
AU - Kljun, Natascha
KW - Flux footprints
KW - atmospheric modelling
KW - urban flux
KW - ICOS Cities
ER - 
munich_footprint_250804.nc
71 MB (74320670 bytes)
3

Acquisition

2025-08-04 00:00:00
2025-08-04 23:30:00

Production

2026-05-21 10:17:00

Statistics

0

Submission

2026-06-29 14:50:26
2026-06-29 14:50:23

Technical information

904d98caf6a4923d757b87acd341dd885eec6dc1b1f05701f60082875c88b56c
kE2Yyvakkj11e4es00HdiF7sbcGx8FcB9gCCh1yItWw
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.