Ensemble streamflow forecasting experiments in a tropical basin: The Sao Francisco river case study

被引:50
作者
Fan, Fernando Mainardi [1 ]
Collischonn, Walter [1 ]
Meller, Adalberto [2 ]
Mendes Botelho, Luiz Cesar [3 ]
机构
[1] Univ Fed Rio Grande do Sul, Inst Pesquisas Hidraul, BR-91501970 Porto Alegre, RS, Brazil
[2] ANA, Brasilia, DF, Brazil
[3] Companhia Energet Minas Gerais CEMIG, Belo Horizonte, MG, Brazil
关键词
Ensemble forecasting; Tres Marias hydropower plant; MGB-IPH model; QUANTITATIVE PRECIPITATION FORECASTS; MODEL OUTPUT STATISTICS; FLOOD ALERT SYSTEM; PREDICTION SYSTEM; PART II; SKILL; ECMWF; UNCERTAINTY; CALIBRATION; EUROPE;
D O I
10.1016/j.jhydrol.2014.04.038
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The present study shows experiments of ensemble forecasting applied to a large tropical river basin, where such forecasting methodologies have many potential applications. The case study is the Tres Marias hydroelectric power plant basin (Brazil), on the Sao Francisco river, where forecast results are particularly important for reservoir operation and downstream flood control. Results showed some benefits in the use of ensembles, particularly for the reservoir inflow on flooding events, and in comparison to the deterministic values given by the control member of the ensemble and by the ensemble mean. The study also discusses the improvements that must be tested and implemented in order to achieve better results, what is particularly important for the smaller basins within the study case. Despite the necessary improvements mentioned, the results suggest that benefits can result from the application of ensemble forecasts for hydropower plants with large basins within the Brazilian energy system. (C) 2014 Elsevier B.V. All rights reserved.
引用
收藏
页码:2906 / 2919
页数:14
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