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Seasonal streamflow forecasting in South America’s largest rivers

Authors :
Ingrid Petry
Fernando Mainardi Fan
Vinicius Alencar Siqueira
Walter Collishonn
Rodrigo Cauduro Dias de Paiva
Erik Quedi
Cléber Henrique de Araújo Gama
Reinaldo Silveira
Camila Freitas
Cassia Silmara Aver Paranhos
Source :
Journal of Hydrology: Regional Studies, Vol 49, Iss , Pp 101487- (2023)
Publication Year :
2023
Publisher :
Elsevier, 2023.

Abstract

Study region: South America large basins (>5000 km²) Study focus: This work represents a first assessment of seasonal streamflow forecasts in South America based on a continental-scale application of a large scale hydrologic-hydrodynamic model and ECMWF's seasonal forecasting system precipitation forecasts (SEAS5-SSF) with bias correction. Seasonal streamflow forecasts were evaluated against a reference model run. Forecast skill was estimated relative to the Ensemble Streamflow Prediction (ESP) method. New hydrological insights: We observed that bias correction was essential to obtain positive skill of SEAS5-SSF over ESP, which remained a hard to beat benchmark, especially in regions with high seasonality, and highly dependent on initial conditions. SEAS5-SSF skill was found to be dependent on initialization month, basin and lead time. Rivers where the skill is higher were Amazon, Araguaia, Tocantins and Paraná.

Details

Language :
English
ISSN :
22145818
Volume :
49
Issue :
101487-
Database :
Directory of Open Access Journals
Journal :
Journal of Hydrology: Regional Studies
Publication Type :
Academic Journal
Accession number :
edsdoj.374b03242e60410da56852c5a9d8d8e3
Document Type :
article
Full Text :
https://doi.org/10.1016/j.ejrh.2023.101487