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Please use this identifier to cite or link to this item: https://ir.swu.ac.th/jspui/handle/123456789/13609
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dc.contributor.authorWiwatwattana N.
dc.contributor.authorSangkhatad K.
dc.contributor.authorSrivatanakul T.
dc.date.accessioned2021-04-05T03:25:02Z-
dc.date.available2021-04-05T03:25:02Z-
dc.date.issued2015
dc.identifier.issn23270586
dc.identifier.other2-s2.0-84958249992
dc.identifier.urihttps://ir.swu.ac.th/jspui/handle/123456789/13609-
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84958249992&doi=10.1109%2fICSESS.2015.7339048&partnerID=40&md5=243c440f0ea258b20125abb1e6994083
dc.description.abstractForecast verification is the subject of measuring the goodness of the forecast. In atmospheric science, the current practice of weather forecast verification is to compare observed data to past forecasts from weather services. The aim of this paper is to study a situation in which probabilistic rain forecasts are verified against crowdsourced data, in addition to station data. Weather reporting tasks were outsourced to participants of a mobile social application called SWUA in Bangkok. We show that crowdsourced data are able to make biases and weaknesses of forecast services more prominent using the Reliability diagrams and the Brier scores. The results should call for further attention to the application of crowdsourced data for weather forecast verification in the future. © 2015 IEEE.
dc.subjectCrowdsourcing
dc.subjectForecasting
dc.subjectSocial networking (online)
dc.subjectSoftware engineering
dc.subjectAtmospheric science
dc.subjectCurrent practices
dc.subjectForecast verifications
dc.subjectMobile crowdsourcing
dc.subjectObserved data
dc.subjectSocial applications
dc.subjectStation data
dc.subjectWeather services
dc.subjectWeather forecasting
dc.titleAn analysis and case study of using mobile crowdsourcing for weather forecast verification
dc.typeConference Paper
dc.rights.holderScopus
dc.identifier.bibliograpycitationProceedings of the IEEE International Conference on Software Engineering and Service Sciences, ICSESS. Vol 2015-November, No. (2015), p.251-254
dc.identifier.doi10.1109/ICSESS.2015.7339048
Appears in Collections:Scopus 1983-2021

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