Rapid updated high-resolution meteorological analysis is one of the key requirements for the improvement of forecasting various hazardous weather events. Operational... more
The RT-FDDA system was developed to provide high-resolution analyses and short-term (0 – 12 h) forecasts, although recent advances in computing power enable longer outlooks to be generated. RT-... more
As integration of solar power into the national electric grid rapidly increases, it becomes imperative to improve forecasting of this renewable resource. NCAR and a team of researchers from public... more
The Weather Research and Forecasting (WRF) Model is a next-generation mesoscale numerical weather prediction system designed to serve both atmospheric research and operational... more
Two 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... more
Although there has been a substantial, long-term effort by the weather research community to improve precipitation prediction, little attention has been paid to the prediction of clouds and... more
Improved weather prediction and precise spatial analysis of small-scale weather events are crucial for energy management, as is the need to further develop and implement advanced... more
Real-time ensemble RTFDDA forecasting system combines real-time WRF-based FDDA technologies and a probabilistic forecast calibration technology for producing reliable real-time probabilistic wind/... more
RTFDDA-LES extends real-world numerical weather prediction to large-eddy-simulation (LES) scales, with grid sizes down to ~30m. The NCAR WRF-based RTFDDA system is formulated for simultaneously... more
As part of NASA and NREL funded projects, a new method has been proposed and demonstrated for the long-term estimate of the wind speeds at a target site, a key step in wind resource assessments (... more
