Incorporating Antecedent Soil Moisture into Streamflow Forecasting

Root Zone Soil Moisture Retrieval Using Streamflow and Surface Moisture Data Assimilation in Nested Catchments

Correct knowledge of soil moisture is important for improving the prediction of coupled land surface atmosphere interactions. This is due to the control that soil moisture exerts on the latent and sensible heat flux transfer between the land surface and atmosphere. Because of this strong dependence on moisture availability, improved atmospheric prediction requires correct initialisation of soil...

Neural network streamflow forecasting

Classification of heterogeneous precipitation fields for the assessment and possible improvement of lumped neural network models for streamflow forecasts N. Lauzon, F. Anctil, and C. W. Baxter Golder Associates, Calgary, Canada Département de génie civil, Pavillon Pouliot, Université Laval, Québec, G1K 7P4, Canada HYDRANNT Consulting Inc., Port Coquitlam, Canada Received: 20 December 2005 – Acc...

The added value of spaceborne passive microwave soil moisture retrievals for forecasting rainfall-runoff partitioning

[1] Using existing data sets of spaceborne soil moisture retrievals, streamflow and precipitation for 26 basins in the United States Southern Great Plains, a 5-year analysis is performed to quantify the value of soil moisture retrievals derived from the Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI) X-band (10.7 GHz) radiometer for forecasting storm event-scale runoff ratios....

Global ENSO-streamflow teleconnection, streamflow forecasting and interannual variability

El Nino Southern Oscillation (ENSO) has been linked to climate anomalies throughout the world. This paper presents an overview of global ENSO-streamflow teleconnection and identifies regions where the relationship may be exploited to forecast streamflow several months ahead. The teleconnection is investigated by fitting a first harmonic to 24-month El Nino streamflow composites from 581 catchme...

Long lead-time streamflow forecasting of the North Platte River incorporating oceanic–atmospheric climate variability