干旱区生态环境知识资源中心(Arid): CrowdQC+-A Quality-Control for Crowdsourced Air-Temperature Observations Enabling World-Wide Urban Climate Applications

Arid

DOI	10.3389/fenvs.2021.720747
	CrowdQC+-A Quality-Control for Crowdsourced Air-Temperature Observations Enabling World-Wide Urban Climate Applications
	Fenner, Daniel; Bechtel, Benjamin; Demuzere, Matthias; Kittner, Jonas; Meier, Fred
通讯作者	Fenner, D (corresponding author), Ruhr Univ Bochum, Fac Geosci, Dept Geog, Urban Climatol, Bochum, Germany. ; Fenner, D (corresponding author), Univ Freiburg, Inst Earth & Environm Sci, Fac Environm & Nat Resources, Chair Environm Meteorol, Freiburg, Germany.
来源期刊	FRONTIERS IN ENVIRONMENTAL SCIENCE
EISSN	2296-665X
出版年	2021
卷号	9
英文摘要	In recent years, the collection and utilisation of crowdsourced data has gained attention in atmospheric sciences and citizen weather stations (CWS), i.e., privately-owned weather stations whose owners share their data publicly via the internet, have become increasingly popular. This is particularly the case for cities, where traditional measurement networks are sparse. Rigorous quality control (QC) of CWS data is essential prior to any application. In this study, we present the QC package CrowdQC+, which identifies and removes faulty air-temperature (ta) data from crowdsourced CWS data sets, i.e., data from several tens to thousands of CWS. The package is a further development of the existing package CrowdQC. While QC levels and functionalities of the predecessor are kept, CrowdQC+ extends it to increase QC performance, enhance applicability, and increase user-friendliness. Firstly, two new QC levels are introduced. The first implements a spatial QC that mainly addresses radiation errors, the second a temporal correction of the data regarding sensor-response time. Secondly, new functionalities aim at making the package more flexible to apply to data sets of different lengths and sizes, enabling also near-real time application. Thirdly, additional helper functions increase user-friendliness of the package. As its predecessor, CrowdQC+ does not require reference meteorological data. The performance of the new package is tested with two 1-year data sets of CWS data from hundreds of Netatmo CWS in the cities of Amsterdam, Netherlands, and Toulouse, France. Quality-controlled data are compared with data from networks of professionally-operated weather stations (PRWS). Results show that the new package effectively removes faulty data from both data sets, leading to lower deviations between CWS and PRWS compared to its predecessor. It is further shown that CrowdQC+ leads to robust results for CWS networks of different sizes/densities. Further development of the package could include testing the suitability of CrowdQC+ for other variables than ta, such as air pressure or specific humidity, testing it on data sets from other background climates such as tropical or desert cities, and to incorporate added filter functionalities for further improvement. Overall, CrowdQC+ could lead the way to utilise CWS data in world-wide urban climate applications.
英文关键词	crowdsourcing quality control citizen weather station private weather station urban climate Netatmo Amsterdam Toulouse
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000731448100001
WOS关键词	CITIZEN WEATHER STATIONS ; HEAT-ISLAND ; PRESSURE OBSERVATIONS ; ASSURANCE PROCEDURES ; ADVECTION ; ZONES ; VARIABILITY ; GERMANY ; BERLIN ; NETHERLANDS
WOS类目	Environmental Sciences
WOS研究方向	Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/374107
作者单位	[Fenner, Daniel; Bechtel, Benjamin; Demuzere, Matthias; Kittner, Jonas] Ruhr Univ Bochum, Fac Geosci, Dept Geog, Urban Climatol, Bochum, Germany; [Fenner, Daniel] Univ Freiburg, Inst Earth & Environm Sci, Fac Environm & Nat Resources, Chair Environm Meteorol, Freiburg, Germany; [Meier, Fred] Tech Univ Berlin, Inst Ecol, Chair Climatol, Berlin, Germany
推荐引用方式 GB/T 7714	Fenner, Daniel,Bechtel, Benjamin,Demuzere, Matthias,et al. CrowdQC+-A Quality-Control for Crowdsourced Air-Temperature Observations Enabling World-Wide Urban Climate Applications[J],2021,9.
APA	Fenner, Daniel,Bechtel, Benjamin,Demuzere, Matthias,Kittner, Jonas,&Meier, Fred.(2021).CrowdQC+-A Quality-Control for Crowdsourced Air-Temperature Observations Enabling World-Wide Urban Climate Applications.FRONTIERS IN ENVIRONMENTAL SCIENCE,9.
MLA	Fenner, Daniel,et al."CrowdQC+-A Quality-Control for Crowdsourced Air-Temperature Observations Enabling World-Wide Urban Climate Applications".FRONTIERS IN ENVIRONMENTAL SCIENCE 9(2021).