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- W3174206815 abstract "Flooding is one of the most common natural disasters. There are extensive amounts of studies on understanding and predicting flooding to support preparedness and response. It is critical to share and communicate flood forecasting and modeling datasets generated by different systems and organizations. Most of the organizations share flood risk data for operational purposes with limited metadata and structure. However, there is no unified standard for exchanging flood forecast and alert data with various stakeholders and automated systems. This paper proposes a data communication specification, Flood Markup Language (FloodML), to extensively describe and exchange flood forecasts and alerts with corresponding stakeholders. FloodML can be used in a wide variety of data sharing use cases and needs for emergency management, research and modeling communities, and the general public." @default.
- W3174206815 created "2021-07-05" @default.
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- W3174206815 date "2021-05-28" @default.
- W3174206815 modified "2023-09-25" @default.
- W3174206815 title "Flood Markup Language – A Standards-based Exchange Language for Flood Risk Communication" @default.
- W3174206815 doi "https://doi.org/10.31223/x50s4v" @default.
- W3174206815 hasPublicationYear "2021" @default.
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