LGMLOct 11, 2019

Inundation Modeling in Data Scarce Regions

arXiv:1910.05006v214 citations
AI Analysis

This addresses the problem of high flood-related casualties in developing countries by enabling more effective protective actions through improved forecasting.

The paper tackled the challenge of providing spatially accurate flood forecasts in data-scarce regions like India by developing an operational system that generates flood extent forecast maps, aiming for scalability and cost-efficiency to support global flood forecasting.

Flood forecasts are crucial for effective individual and governmental protective action. The vast majority of flood-related casualties occur in developing countries, where providing spatially accurate forecasts is a challenge due to scarcity of data and lack of funding. This paper describes an operational system providing flood extent forecast maps covering several flood-prone regions in India, with the goal of being sufficiently scalable and cost-efficient to facilitate the establishment of effective flood forecasting systems globally.

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