How useful are crowdsourced air temperature observations? An assessment of Netatmo stations and quality control schemes over the United Kingdom. (6th June 2022)
- Record Type:
- Journal Article
- Title:
- How useful are crowdsourced air temperature observations? An assessment of Netatmo stations and quality control schemes over the United Kingdom. (6th June 2022)
- Main Title:
- How useful are crowdsourced air temperature observations? An assessment of Netatmo stations and quality control schemes over the United Kingdom
- Authors:
- Coney, Jonathan
Pickering, Ben
Dufton, David
Lukach, Maryna
Brooks, Barbara
Neely, Ryan R. - Abstract:
- Abstract: Observations of the real‐time state of the atmosphere are required in order to initialize numerical weather prediction (NWP) models. As NWP resolution improves, more observations are needed, to better capture regional variations in atmospheric conditions. In particular, surface observations are necessary to reflect conditions experienced on the surface. One proposed opportunity to increase the number of surface observations available for assimilation into NWP is to crowdsource the data from home weather stations. This study investigates the outdoor air temperature measurements made by Netatmo home weather stations, through validation against a calibrated laboratory chamber and by evaluating quality control schemes that are applied to a UK‐wide network of Netatmo stations. In a series of controlled lab experiments, it was found that the Netatmo temperature sensor was accurate to 0.3°C. The response to fluctuations in temperature is lagged, with τ (the time taken for 63% of the change to be measured) calculated as 12.7 min for a near‐instantaneous decrease in temperature. Netatmo temperature observations were compared with Met Office MIDAS hourly weather observations. A warm bias in excess of 1°C was present in the Netatmo temperature observations, which was lessened by the three quality control schemes tested, but still in excess of 0.5°C. Hence, Netatmo temperature measurements have potential to be assimilated in NWP in the United Kingdom, but work is required toAbstract: Observations of the real‐time state of the atmosphere are required in order to initialize numerical weather prediction (NWP) models. As NWP resolution improves, more observations are needed, to better capture regional variations in atmospheric conditions. In particular, surface observations are necessary to reflect conditions experienced on the surface. One proposed opportunity to increase the number of surface observations available for assimilation into NWP is to crowdsource the data from home weather stations. This study investigates the outdoor air temperature measurements made by Netatmo home weather stations, through validation against a calibrated laboratory chamber and by evaluating quality control schemes that are applied to a UK‐wide network of Netatmo stations. In a series of controlled lab experiments, it was found that the Netatmo temperature sensor was accurate to 0.3°C. The response to fluctuations in temperature is lagged, with τ (the time taken for 63% of the change to be measured) calculated as 12.7 min for a near‐instantaneous decrease in temperature. Netatmo temperature observations were compared with Met Office MIDAS hourly weather observations. A warm bias in excess of 1°C was present in the Netatmo temperature observations, which was lessened by the three quality control schemes tested, but still in excess of 0.5°C. Hence, Netatmo temperature measurements have potential to be assimilated in NWP in the United Kingdom, but work is required to find a suitable agreed quality control scheme to filter out anomalous observations in the United Kingdom. Abstract : This study investigates air temperature measurements made by Netatmo weather stations, through validation against a calibrated laboratory chamber and by evaluating quality control schemes applied to a UK‐wide network of Netatmo stations. In the chamber, Netatmo temperature observations were accurate to 0.3°C, albeit with a lagged response to fluctuations in temperature. A warm bias in excess of 2°C was present in the Netatmo observations when compared with Met Office observations, which was reduced by the quality control schemes. … (more)
- Is Part Of:
- Meteorological applications. Volume 29:Number 3(2022)
- Journal:
- Meteorological applications
- Issue:
- Volume 29:Number 3(2022)
- Issue Display:
- Volume 29, Issue 3 (2022)
- Year:
- 2022
- Volume:
- 29
- Issue:
- 3
- Issue Sort Value:
- 2022-0029-0003-0000
- Page Start:
- n/a
- Page End:
- n/a
- Publication Date:
- 2022-06-06
- Subjects:
- crowdsourcing -- evaluation -- Netatmo -- observations -- temperature -- verification
Meteorology -- Periodicals
Meteorological services -- Periodicals
551.5 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1469-8080 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/met.2075 ↗
- Languages:
- English
- ISSNs:
- 1350-4827
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5705.280000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 22258.xml