ICOS

Atmospheric composition time series result from Saclay (15.0 m)

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2023-01-01–2024-12-19
11676/CAbxztl0cNwNliXXyUSzkybw (link)

Generic gas and related tracers observational time series in ATC format

Lopez, M. (2024). Atmospheric composition time series result from Saclay (15.0 m), 2023-01-01–2024-12-19, ICOS Cities, https://hdl.handle.net/11676/CAbxztl0cNwNliXXyUSzkybw
BibTex
@misc{https://hdl.handle.net/11676/CAbxztl0cNwNliXXyUSzkybw,
  author={Lopez, Morgan},
  title={Atmospheric composition time series result from Saclay (15.0 m), 2023-01-01–2024-12-19},
  year={2024},
  url={https://hdl.handle.net/11676/CAbxztl0cNwNliXXyUSzkybw},
  publisher={Atmosphere Thematic Centre},
  copyright={http://meta.icos-cp.eu/ontologies/cpmeta/icosLicence},
  pid={11676/CAbxztl0cNwNliXXyUSzkybw}
}
RIS
TY - DATA
T1 - Atmospheric composition time series result from Saclay (15.0 m), 2023-01-01–2024-12-19
ID - 11676/CAbxztl0cNwNliXXyUSzkybw
PY - 2024
UR - https://hdl.handle.net/11676/CAbxztl0cNwNliXXyUSzkybw
PB - Atmosphere Thematic Centre
AU - Lopez, Morgan
ER - 
ICOS_ATC_L2_ICOS-CITIES-Paris-Tower-L2-2024_SAC_15.0_CTS_CO2.zip
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337 KB (345138 bytes)
17256
2

Acquisition

2023-01-01 00:00:00
2024-12-19 23:00:00
15.0

Production

2024-12-20 14:59:58

Previewable variables

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

Statistics

10
0

Submission

2024-12-20 14:59:58
2024-12-20 14:59:58

Technical information

O, R, U
zip
0806f1ced97470dc0d9625d7c944b39326f01c7464c3558e448fb9c2a2cc91cb
CAbxztl0cNwNliXXyUSzkybwHHRkw1WORI+5wqLMkcs
Lat: 48.7227, Lon: 2.142, Alt: 160.0 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.