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2023 | OriginalPaper | Buchkapitel

11. Personalizing a Low Cost Weather Forecasting System

verfasst von : Muditha Dantanarayana, Srikantha Herath, Dilum Bandara

Erschienen in: Proceedings of the 4th Global Summit of Research Institutes for Disaster Risk Reduction

Verlag: Springer Nature Singapore

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Abstract

Performance and cost of rainfall observation systems use in the study phase of Centre for Urban Water (CUrW) of Metro Colombo Urban Development Project (MCUDP) were compared and a low cost observation system that can be used to customize rainfall forecast was tested. System includes an IOT-based real time rainfall observing station which can be configured personally and access data directly along with a computational system. Weather Research and Forecasting (WRF) model with freely available Global Forecasting System (GFS) data, is used to forecast a set of possible rain systems and real time observations are used to select the most suitable forecast in Kelani river basin which effects the water level variations in the Metro Colombo area.

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Literatur
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Metadaten
Titel
Personalizing a Low Cost Weather Forecasting System
verfasst von
Muditha Dantanarayana
Srikantha Herath
Dilum Bandara
Copyright-Jahr
2023
Verlag
Springer Nature Singapore
DOI
https://doi.org/10.1007/978-981-19-5566-2_11