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

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


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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: