A coincidence in the timing of floods and their drivers can be used as a proxy for the causality of flood generation. Here, we investigate the relationship between the seasonality of floods, maximum annual rainfall, and maximum annual soil moisture data of 886 basins in Brazil for 1980–2015 to shed light on process controls of flood generation. Floods tend to occur at the same time of year as soil moisture peaks and lag behind rainfall peaks by 3 weeks. In Amazonia, central and northern Brazil, flood timing is more correlated with the timing of soil moisture peaks than with that of rainfall peaks, which is interpreted as resulting from high subsurface water storage capacities. In southern and southeastern Brazil, on the other hand, flood timing is highly correlated with both soil moisture and rainfall because of low subsurface water storage capacities. These findings can support flood forecasting and climate impact studies.

Chagas, V.B.P., Chaffe, P.L.B., Bloeschl, G. (2022). Process Controls on Flood Seasonality in Brazil. GEOPHYSICAL RESEARCH LETTERS, 49(5), 1-10 [10.1029/2021gl096754].

Process Controls on Flood Seasonality in Brazil

Bloeschl, Guenter
2022

Abstract

A coincidence in the timing of floods and their drivers can be used as a proxy for the causality of flood generation. Here, we investigate the relationship between the seasonality of floods, maximum annual rainfall, and maximum annual soil moisture data of 886 basins in Brazil for 1980–2015 to shed light on process controls of flood generation. Floods tend to occur at the same time of year as soil moisture peaks and lag behind rainfall peaks by 3 weeks. In Amazonia, central and northern Brazil, flood timing is more correlated with the timing of soil moisture peaks than with that of rainfall peaks, which is interpreted as resulting from high subsurface water storage capacities. In southern and southeastern Brazil, on the other hand, flood timing is highly correlated with both soil moisture and rainfall because of low subsurface water storage capacities. These findings can support flood forecasting and climate impact studies.
2022
Chagas, V.B.P., Chaffe, P.L.B., Bloeschl, G. (2022). Process Controls on Flood Seasonality in Brazil. GEOPHYSICAL RESEARCH LETTERS, 49(5), 1-10 [10.1029/2021gl096754].
Chagas, Vinícius B. P.; Chaffe, Pedro L. B.; Bloeschl, Guenter
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/1012808
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