ICOS

Atmospheric composition time series result, Gonesse (2.0 m)

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2023-01-01–2024-12-19
11676/3X4VfgAhN1I0CQ5wi8EDc7ou (link)

Generic gas and related tracers observational time series in ATC format

Lopez, M. (2024). Atmospheric composition time series result, Gonesse (2.0 m), 2023-01-01–2024-12-19, ICOS Cities, https://hdl.handle.net/11676/3X4VfgAhN1I0CQ5wi8EDc7ou
BibTex
@misc{https://hdl.handle.net/11676/3X4VfgAhN1I0CQ5wi8EDc7ou,
  author={Lopez, Morgan},
  title={Atmospheric composition time series result, Gonesse (2.0 m), 2023-01-01–2024-12-19},
  year={2024},
  url={https://hdl.handle.net/11676/3X4VfgAhN1I0CQ5wi8EDc7ou},
  publisher={Atmosphere Thematic Centre},
  copyright={http://meta.icos-cp.eu/ontologies/cpmeta/icosLicence},
  pid={11676/3X4VfgAhN1I0CQ5wi8EDc7ou}
}
RIS
TY - DATA
T1 - Atmospheric composition time series result, Gonesse (2.0 m), 2023-01-01–2024-12-19
ID - 11676/3X4VfgAhN1I0CQ5wi8EDc7ou
PY - 2024
UR - https://hdl.handle.net/11676/3X4VfgAhN1I0CQ5wi8EDc7ou
PB - Atmosphere Thematic Centre
AU - Lopez, Morgan
ER - 
ICOS_ATC_L2_ICOS-CITIES-Paris-Tower-L2-2024_GNS_2.0_CTS_CO.zip
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314 KB (321270 bytes)
17256
2

Acquisition

2023-01-01 00:00:00
2024-12-19 23:00:00
2.0

Production

2024-12-20 14:59:06

Previewable variables

Name Value type Unit Quantity kind Preview
TIMESTAMP time instant, UTC
co CO (dry air mole fraction) ppb
Stdev standard deviation of gas mole fraction a.u. portion Preview
NbPoints number of points cardinal number Preview
Flag quality flag

Statistics

5
0

Submission

2024-12-20 14:59:07
2024-12-20 14:59:06

Technical information

O, R, U
zip
dd7e157e0021375234090e708bc10373ba2e7d98140db960e3004db6f531ee9b
3X4VfgAhN1I0CQ5wi8EDc7oufZgUDblg4wBNtvUx7ps
Lat: 49.0052, Lon: 2.4205, Alt: 81.0 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.