Abstract: statistical postprocessing method for improving probabilistic forecasts of continuous weather variables, given recent observations, is presented. The method updates an existing probabilistic forecast by incorporating ...

Abstract: AbstractA climatology of extreme cold season precipitation events in Norway from 1979 to 2014 is presented, based on the 99th percentile of the 24-h accumulated precipitation. Three regions, termed north, west, and south ...

Abstract: his work evaluates the use of a WRF ensemble for short-term, probabilistic, hub-height wind speed forecasts in complex terrain. Testing for probabilistic-forecast improvements is conducted by increasing the number of ...

Abstract: wo new postprocessing methods are proposed to reduce numerical weather prediction?s systematic and random errors. The first method consists of running a postprocessing algorithm inspired by the Kalman filter (KF) through ...

Abstract: hree ensemble prediction systems (EPSs) with different grid spacings are compared and evaluated with respect to their ability to predict wintertime weather in complex terrain. The experiment period was two-and-a-half winter ...

Abstract: ecently, two analog-based postprocessing methods were demonstrated to reduce the systematic and random errors from Weather Research and Forecasting (WRF) Model predictions of 10-m wind speed over the central United States. ...

Abstract: he WMO WWRP project FROST-2014 (FROST - Forecast and Research in the Olympic Sochi Testbed) was targeted at the advancement and demonstration of state-of-the art nowcasting and short-range forecasting systems for winter ...