Operational forecasting inundation extents using REOF analysis (FIER) over lower Mekong and its potential economic impact on agriculture

Environ. Model. Softw.(2023)

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Abstract
In the Lower Mekong River Basin floodplains, rice cultivation is highly crucial for regional and global food se-curity. However, prolonged flooding can pose damage to rice cultivation and other socio-economic aspects. Yet, there is no rapid operational inundation forecasting system that can help decision-makers proactively mitigate flood damages. Here, we integrated the so-called Forecasting Inundation Extents using Rotated empirical orthogonal function analysis (FIER) framework with an altimetry-based operational Mekong River level fore-casting system and built an operational web application, FIER-Mekong, (https://fier-mekong.streamlit.app/) that generates daily skillful forecasted inundation extents (>70% of critical success index) and depths in about 3 and 30 s, respectively, with up to 18-day lead times. One of its applications, predicting flood-induced rice economic losses, is also presented. Had FIER-Mekong being adopted, we estimated that the rice damages, up to 87 and 53 million US dollars during the 2020 and 2021 harvest time, respectively, could have been avoided.
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Key words
Operational inundation forecasting,SAR imagery,Flood risk prediction,Mekong river basin
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