ICOS

Atmospheric composition time series result, München Klinik Neuperlach (3.0 m)

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2024-06-24–2024-06-30
11676/20m9uUlSLRJub7rLGGFXpCxL (link)

Generic gas and related tracers observational time series in ATC format

(2024). Atmospheric composition time series result, München Klinik Neuperlach (3.0 m), 2024-06-24–2024-06-30, ICOS Cities, https://hdl.handle.net/11676/20m9uUlSLRJub7rLGGFXpCxL
BibTex
@misc{https://hdl.handle.net/11676/20m9uUlSLRJub7rLGGFXpCxL,
  title={Atmospheric composition time series result, München Klinik Neuperlach (3.0 m), 2024-06-24–2024-06-30},
  year={2024},
  url={https://hdl.handle.net/11676/20m9uUlSLRJub7rLGGFXpCxL},
  publisher={Technische Universität München},
  copyright={http://meta.icos-cp.eu/ontologies/cpmeta/icosLicence},
  pid={11676/20m9uUlSLRJub7rLGGFXpCxL}
}
RIS
TY - DATA
T1 - Atmospheric composition time series result, München Klinik Neuperlach (3.0 m), 2024-06-24–2024-06-30
ID - 11676/20m9uUlSLRJub7rLGGFXpCxL
PY - 2024
UR - https://hdl.handle.net/11676/20m9uUlSLRJub7rLGGFXpCxL
PB - Technische Universität München
ER - 
munich_scout_NPLR.csv
7 KB (7423 bytes)
153
2

Acquisition

2024-06-24 15:00:00
2024-06-30 23:00:00
3.0

Previewable variables

Name Value type Unit Quantity kind Preview
TIMESTAMP time instant, UTC
co2 CO2 (dry air mole fraction) µmol mol-1 portion Preview
NbPoints number of points cardinal number Preview
Stdev standard deviation of gas mole fraction a.u. portion Preview
Flag quality flag

Statistics

0
0

Submission

2024-11-22 10:15:33
2024-11-22 10:15:33

Technical information

O, R, U
zip
db49bdb949522d126e6fbacb186157a42c4b01c60317fea247c062aba2d23ea9
20m9uUlSLRJub7rLGGFXpCxLAcYDF/6iR8Biq6LSPqk
Lat: 48.09479, Lon: 11.656115, Alt: 539.87 m
dry air mole fraction low-mid-cost urban
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.