Open AccessShort‐ and long‐term flow forecasting in the Rio Grande watershed (Brazil)
Author(s) -
Tucci Carlos E. M.,
Collischonn Walter,
Clarke Robin T.,
Paz Adriano R.,
Allasia Daniel
Publication year - 2008
Publication title -
atmospheric science letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.951
H-Index - 45
ISSN - 1530-261X
DOI - 10.1002/asl.165
Subject(s) - watershed , environmental science , term (time) , data assimilation , quantitative precipitation forecast , precipitation , meteorology , horizon , climatology , hydrological modelling , hydrology (agriculture) , hydroelectricity , scale (ratio) , water resource management , geography , computer science , geology , cartography , engineering , mathematics , physics , geometry , geotechnical engineering , quantum mechanics , machine learning , electrical engineering
As part of a research project to improve flow forecasts for the operation and planning of Brazilian hydroelectric reservoirs, a large‐scale distributed hydrological model has been used with quantitative precipitation forecasts and an empirical data assimilation procedure. This article summarizes some results obtained for the Rio Grande watershed (145 000 km 2 ), one of the Hydrologic Ensemble Prediction Experiment (HEPEX) test beds. For the short‐term horizon (up to 12 days), results show that this methodology can clearly improve real‐time operation of reservoirs. However, longer‐term flow forecasts (time horizon up to 6 months) still require improvement in forecasts from climate models. Copyright © 2008 Royal Meteorological Society