Bracken, C., B. Rajagopalan, and J. Prairie. “A Multisite Seasonal Ensemble Streamflow Forecasting Technique,” Water Resources Research, 46, 2010. Abstract: We present a technique for providing ...

A cold front may bring late-day thunderstorms to the DMV, some severe with damaging winds, hail and heavy rain. by StormWatch7 Meteorologist Rachael Kaye TOPICS: You may or may not be familiar with ...

Ensemble forecasting in hydrology leverages multiple simulations to characterise the uncertainty inherent in rainfall–runoff modelling and streamflow prediction. By combining outputs from distinct ...

But using AI is still extremely tempting because the alternative is a computational atmospheric circulation model, which is extremely compute-intensive. Still, it’s highly successful, with the ...

An ensemble forecast is a predictive methodology in which multiple simulations of a system, typically using numerical models, are generated by varying initial conditions, model physics, or ...

WRAL has been using ensemble forecasts to put together our snow forecasts behind the scenes for years. Now, WRAL has the exclusive ability to show you that data on TV. Let's take this weekend for ...

Abstract. We present a nonparametric approach based on local polynomial regression for ensemble forecast of time series. The state space is first reconstructed by embedding the univariate time series ...

A Chinese research group has sought to understand the relative performance of two weather prediction techniques based on ensemble modeling for solar energy forecasts. The scientists applied the two ...

The U.S. COVID-19 Forecast Hub, a collaborative research consortium, has generated the most consistently accurate predictions of pandemic deaths at the state and national level, according to a new ...