Monthly and seasonal streamflow forecasting of large dryland catchments in Brazil

Streamflow forecasting in drylands is challenging. Data are scarce, catchments are highly human-modified and streamflow exhibits strong nonlinear responses to rainfall. The goal of this study was to evaluate the monthly and seasonal streamflow forecasting in two large catchments in the Jaguaribe Riv...

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Veröffentlicht in:	Journal of arid land 2021-03, Vol.13 (3), p.205-223
Hauptverfasser:	Costa, Alexandre C., Estacio, Alvson B. S., de Souza Filho, Francisco de A., Lima Neto, Iran E.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Arid lands Arid regions Arid zones Autoregressive models Autoregressive processes Catchment area Catchments Climate Climatology Data Drought Earth and Environmental Science Forecasting Geography High flow Hydrologic models Lead time Modelling Monthly Nonlinear response Physical Geography Plant Ecology Rain Rainfall-runoff relationships Research Article River basins Runoff Seasonal variations Seasonality Seasons Semi arid areas Stream discharge Stream flow Streamflow forecasting Sustainable Development Time series Watersheds
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