Publication: An analysis and case study of using mobile crowdsourcing for weather forecast verification
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Issued Date
2015
Resource Type
File Type
application/pdf
ISSN
23270586
Other identifier(s)
2-s2.0-84958249992
Rights Holder(s)
Scopus
Bibliographic Citation
Proceedings of the IEEE International Conference on Software Engineering and Service Sciences, ICSESS. Vol 2015-November, No. (2015), p.251-254
Suggested Citation
Wiwatwattana N., Sangkhatad K., Srivatanakul T. An analysis and case study of using mobile crowdsourcing for weather forecast verification. Proceedings of the IEEE International Conference on Software Engineering and Service Sciences, ICSESS. Vol 2015-November, No. (2015), p.251-254. doi:10.1109/ICSESS.2015.7339048 Retrieved from: https://hdl.handle.net/20.500.14740/6012
Author(s)
Abstract
Forecast 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.