A dynamical statistical framework for seasonal streamflow forecasting in an agricultural watershed

The state of Iowa in the US Midwest is regularly affected by major floods and has seen a notable increase in agricultural land cover over the twentieth century. We present a novel statistical-dynamical approach for probabilistic seasonal streamflow forecasting using land cover and General Circulatio...

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Bibliographic Details

Main Authors:	Louise Slater, Gabriele Villarini, Allen Bradley, Gabriel A. Vecchi
Format:	Default Article
Published:	2017
Subjects:	Atmospheric sciences not elsewhere classified Oceanography not elsewhere classified Other earth sciences not elsewhere classified Seasonal forecasting Probabilistic forecast Streamflow forecasts North-American Multi Model Ensemble (NMME) Earth Sciences not elsewhere classified Oceanography Atmospheric Sciences
Online Access:	https://hdl.handle.net/2134/25779
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