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Calibration of the Global Flood Awareness System (GloFAS) using daily streamflow data
Journal of Hydrology ( IF 6.4 ) Pub Date : 2018-11-01 , DOI: 10.1016/j.jhydrol.2018.09.052
Feyera A. Hirpa , Peter Salamon , Hylke E. Beck , Valerio Lorini , Lorenzo Alfieri , Ervin Zsoter , Simon J. Dadson

Highlights • GloFAS was calibrated using daily streamflow data from 1287 stations worldwide.• Evolutionary Algorithm with parallel co-evolution of multiple simulations was used.• Parameters will be used in operational flood forecasting (www.globalfloods.eu).• Bias reduction in the forcings is needed to further improve the forecast skill.

中文翻译:

使用每日流量数据校准全球洪水意识系统 (GloFAS)

亮点 • GloFAS 使用来自全球 1287 个站点的每日流量数据进行校准。• 使用了多个模拟并行协同演化的演化算法。• 参数将用于业务洪水预报 (www.globalfloods.eu)。• 减少偏差需要强迫来进一步提高预测技能。
更新日期:2018-11-01
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