The role of satellite information in forecasting, modeling, and mapping the 2019 Mozambique flood

Date

2022-08-01

Author

Adler, Robert
Gu, Guojun
Zhou, Naijun
Wu, Huan
Matgen, Patrick
Galantowicz, John
Schumann, Guy
Yılmaz, Koray Kamil

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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The application and value of the Global Flood Monitoring System (GFMS) andvarious remote-sensing-based flood products are examined in the context ofthe severe flood event in Mozambique associated with Cyclone Idai in March2019. Short-term forecasts of rainfall and flooding are shown to be useful andvalidated to some degree by satellite-based rainfall from the Global Precipita-tion Monitoring (GPM) Integrated Multi-satellitE Retrievals for GPM (IMERG)product. However, detailed validation of the satellite-based rainfall for thisevent is limited and examination of other similar cases indicates a possibleunderestimate at high rainfall amounts. GFMS inundation based on theIMERG rainfall and models are compared to Synthetic Aperture Radar (SAR)and other inundation estimates. Results indicate a generally good correspon-dence, but with the GFMS calculations underestimating the area of broadflooding, but overestimating in smaller streams. The GFMS underestimationcompared to a SAR-based estimate in one particular area seems related to rain-fall underestimation. Similar generally good results were found when compar-ing the GFMS calculations to the FloodScan passive microwave-basedinundation. The various inundation estimates are available at different laten-cies and likely have different accuracies, indicating a need for integration ofthese types of information to provide the user community with the best consol-idated information and in a timely manner.

URI

https://onlinelibrary.wiley.com/doi/10.1111/jfr3.12843
https://hdl.handle.net/11511/99266

Journal

JOURNAL OF FLOOD RISK MANAGEMENT

DOI

https://doi.org/10.1111/jfr3.12843

Collections

Department of Geological Engineering, Article

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Citation Formats

R. Adler et al., “The role of satellite information in forecasting, modeling, and mapping the 2019 Mozambique flood,” JOURNAL OF FLOOD RISK MANAGEMENT, pp. 1–16, 2022, Accessed: 00, 2022. [Online]. Available: https://onlinelibrary.wiley.com/doi/10.1111/jfr3.12843.