Assessment of Flood Extremes Using Downscaled CMIP5 High-Resolution Ensemble Projections of Near-Term Climate for the Upper Thu Bon Catchment in Vietnam

• Published in: Water (Basel) Vol. 11; no. 4; p. 634
• Main Authors: Nam, Do, Hoa, Tran, Duong, Phan, Thuan, Duong, Mai, Dang
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.04.2019
• Subjects: Agricultural production; Bias; calibrated supper-tank model; Climate change; Climate models; Experiments; Flood peak; Floods; General circulation models; High resolution; Hydrology; multi-model climate experiments; near-term climate; Parameterization; Precipitation; Rain; Rainfall; rainfall and flood extremes; River basins; Runoff; Simulation; Spatial discrimination; Spatial resolution; Stream flow; Variables; Wind; United States > US; Vietnam; Japan
• ISSN: 2073-4441; 2073-4441
• DOI: 10.3390/w11040634

Exploring potential floods is both essential and critical to making informed decisions for adaptation options at a river basin scale. The present study investigates changes in flood extremes in the future using downscaled CMIP5 (Coupled Model Intercomparison Project—Phase 5) high-resolution ensemble projections of near-term climate for the Upper Thu Bon catchment in Vietnam. Model bias correction techniques are utilized to improve the daily rainfall simulated by the multi-model climate experiments. The corrected rainfall is then used to drive a calibrated supper-tank model for runoff simulations. The flood extremes are analyzed based on the Gumbel extreme value distribution and simulation of design hydrograph methods. Results show that the former method indicates almost no changes in the flood extremes in the future compared to the baseline climate. However, the later method explores increases (approximately 20%) in the peaks of very extreme events in the future climate, especially, the flood peak of a 50-year return period tends to exceed the flood peak of a 100-year return period of the baseline climate. Meanwhile, the peaks of shorter return period floods (e.g., 10-year) are projected with a very slight change. Model physical parameterization schemes and spatial resolution seem to cause larger uncertainties; while different model runs show less sensitivity to the future projections.