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Operational Forecasting Inundation Extents using REOF analysis (FIER) over Lower Mekong and its Economic Impact on AgricultureIn the Lower Mekong River Basin floodplains, rice cultivation is highly crucial for regional and global food security. 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 forecasting 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.
Document ID
20230014033
Acquisition Source
Goddard Space Flight Center
Document Type
Accepted Manuscript (Version with final changes)
Authors
Chi-Hung Chang
(University of Houston Houston, Texas, United States)
Hyongki Lee
(University of Houston Houston, Texas, United States)
Son K. Do
(University of Houston Houston, Texas, United States)
Tien Du
(University of Houston Houston, Texas, United States)
Kel N. Markert
(University of Alabama in Huntsville Huntsville, United States)
Faisal Hossain
(University of Washington Seattle, United States)
Shahryar Khalique Ahmad
(Science Applications International Corporation (United States) McLean, Virginia, United States)
John D. Bolten
(Goddard Space Flight Center Greenbelt, United States)
Chinaporn Meechaiya
(Asian Disaster Preparedness Center Bangkok, Thailand)
Hahn-Chul Jung
(Korea Institute of Ocean Science and Technology Busan, South Korea)
Date Acquired
September 27, 2023
Publication Date
April 1, 2023
Publication Information
Publication: Environmental Modelling & Software
Publisher: Elsevier
Volume: 162
Issue Publication Date: April 1, 2023
ISSN: 1364-8152
e-ISSN: 1873-6726
Subject Category
Meteorology and Climatology
Funding Number(s)
WBS: 547714.04.13.02.25
CONTRACT_GRANT: 80NSSC20K0152
CONTRACT_GRANT: 80NSSC23K0184
CONTRACT_GRANT: NE/S002847/1
CONTRACT_GRANT: 2019002650004
CONTRACT_GRANT: 2021R1A2C10057801
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
Technical Review
External Peer Committee
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