Publication:
An analysis and case study of using mobile crowdsourcing for weather forecast verification

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.date.issuedBE2558
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.format.mimetypeapplication/pdf
dc.identifier.citationProceedings 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
dc.identifier.issn23270586
dc.identifier.other2-s2.0-84958249992
dc.identifier.urihttps://hdl.handle.net/20.500.14740/6012
dc.rights.holderScopus
dc.subject.otherCrowdsourcing
dc.subject.otherForecasting
dc.subject.otherSocial networking (online)
dc.subject.otherSoftware engineering
dc.subject.otherAtmospheric science
dc.subject.otherCurrent practices
dc.subject.otherForecast verifications
dc.subject.otherMobile crowdsourcing
dc.subject.otherObserved data
dc.subject.otherSocial applications
dc.subject.otherStation data
dc.subject.otherWeather services
dc.subject.otherWeather forecasting
dc.titleAn analysis and case study of using mobile crowdsourcing for weather forecast verification
dc.typeConference Paper
dspace.entity.typePublication
swu.datasource.scopushttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84958249992&doi=10.1109%2fICSESS.2015.7339048&partnerID=40&md5=243c440f0ea258b20125abb1e6994083

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