ICOS

Low cost sensor standard meteorological data, Wollishofen (42.31 m)

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2023-01-01–2023-06-01

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11676/Yec7e_vF2-vSaxN1a7i3Oacj (link)

Wind speed, Wind direction and temperature

Grange, S. (2023). Low cost sensor standard meteorological data, Wollishofen (42.31 m), 2023-01-01–2023-06-01, ICOS Cities, https://hdl.handle.net/11676/Yec7e_vF2-vSaxN1a7i3Oacj
BibTex
@misc{https://hdl.handle.net/11676/Yec7e_vF2-vSaxN1a7i3Oacj,
  author={Grange, Stuart},
  title={Low cost sensor standard meteorological data, Wollishofen (42.31 m), 2023-01-01–2023-06-01},
  year={2023},
  keywords={Zürich, meteo},
  url={https://hdl.handle.net/11676/Yec7e_vF2-vSaxN1a7i3Oacj},
  publisher={Carbon Portal},
  copyright={http://meta.icos-cp.eu/ontologies/cpmeta/icosLicence},
  pid={11676/Yec7e_vF2-vSaxN1a7i3Oacj}
}
RIS
TY - DATA
T1 - Low cost sensor standard meteorological data, Wollishofen (42.31 m), 2023-01-01–2023-06-01
ID - 11676/Yec7e_vF2-vSaxN1a7i3Oacj
PY - 2023
UR - https://hdl.handle.net/11676/Yec7e_vF2-vSaxN1a7i3Oacj
PB - Carbon Portal
AU - Grange, Stuart
KW - Zürich
KW - meteo
ER - 
zuerich_zhwh_2023_met.zip
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Acquisition

2023-01-01 00:30:00
2023-06-01 08:30:00
42.31

Production

2023-11-21 19:00:00
Meteo sensor; sensor id=16987; sensingelement id=16987

Previewable variables

Name Value type Unit Quantity kind Preview
TIMESTAMP time instant, UTC
air_temp temperature °C temperature Preview
wd wind direction ° angle Preview
ws wind speed m.s-1 velocity Preview
Flag_air_temp quality flag
Flag_wd quality flag
Flag_ws quality flag

Statistics

0
0

Submission

2023-11-21 17:51:27
2023-11-21 17:51:27

Technical information

O, R, U
zip
61e73b7bfbc5dbebd26b13756bb8b739a72317790265d0ee692b601a0aa95687
Yec7e/vF2+vSaxN1a7i3OacjF3kCZdDuaStgGgqpVoc
Lat: 47.34696, Lon: 8.53332, Alt: 407.9 m
Zürich low-mid-cost meteo synops 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.