2020
DOI: 10.1029/2020gl089476
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Exploring the ENSO Impact on Basin‐Scale Floods Using Hydrological Simulations and TRMM Precipitation

Abstract: El Niño-Southern Oscillation (ENSO) is an important driver of interannual climate variability with increasing attention for its impacts on water and flood management. The impact of ENSO on basin-scale floods during the TRMM period (1998-2013) is examined by using the streamflow outputs from the Dominant river Routing Integrated with VIC Environment model (DRIVE). Significant simultaneous correlations between flood indices and Niño 3.4 appear in many flood-prone river basins during peak flood months across both… Show more

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Cited by 18 publications
(15 citation statements)
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“…Despite various errors and uncertainties, satellite precipitation products (SPPs) have become essential sources of precipitation information, especially in regions where the gauged distribution is sparse and uneven 2 . Currently, SPPs have been widely used in water resources management 3 , 4 , drought monitoring 5 7 , and flood forecasting 8 , 9 .…”
Section: Introductionmentioning
confidence: 99%
“…Despite various errors and uncertainties, satellite precipitation products (SPPs) have become essential sources of precipitation information, especially in regions where the gauged distribution is sparse and uneven 2 . Currently, SPPs have been widely used in water resources management 3 , 4 , drought monitoring 5 7 , and flood forecasting 8 , 9 .…”
Section: Introductionmentioning
confidence: 99%
“…The DRIVE model includes flood inundation modules and is suitable for flood simulation at different spatial and temporal scales. Researchers have also applied the DRIVE model in many other studies [37,[42][43][44][45][46]. The detailed descriptions of the DRIVE model can be found in the literatures [37,45,46].…”
Section: Introductionmentioning
confidence: 99%
“…Ward, Jongman, et al, 2014;P. Ward et al, 2016;Yan et al, 2020;Corringham & Cayan, 2019;Saghafian et al, 2017). All these analyses have been performed using observational time series spanning less than 50 years, i.e.…”
Section: Introductionmentioning
confidence: 99%