Sentence examples for numerical forecast models from inspiring English sources

Both statistical and numerical forecast models had contributed to the improving forecasts, with numerical forecast models taking the lead since the 1990s.

The main advantage of this method is that it can produce high forecast rates using all types of numerical forecast models, even those that are not rate-based.

This representation could be, for example, obtained from numerical forecast models that assimilate in situ and remote-sensing data, such as the European Centre for Medium-Range Weanalysesrecand (ECMWF) analyses, and produce the required global fields of atmospheric parameters.

In almost all cases, numerical forecast models can be easily converted to an alarm-based forecast because the information provided by a numerical value assignment on a given space-time grid can be used as an alarm function.

We explored six weather forecast products for Detroit derived from different algorithms that postprocess outputs from several numerical forecast models.

Local meteorologists usually make a decision regarding issuing a heat alert by considering many factors, including predictions from numerical forecast models, MOS products, and other forecast products as well as their local knowledge and others (Pollman R, personal communication).

Such profile, for example the numerical forecast model output, is supposed to contain the error and affect the output surface temperature and emissivity accuracy.

This dataset is the result of assimilation of in situ and remotely sensed measurements into a numerical forecast model of the stratosphere and troposphere.

In what follows, we describe one iteration of the combination procedure using a current model (the initial rate-based forecast model at the first iteration) and an input model (any type of numerical forecast model) to compute a new rate-based forecast model.

GFS is a global numerical forecast model system operated by the National Centers for Environmental Prediction (NCEP) of the National Oceanic and Atmospheric Administration (NOAA) (NCEP 2007).

Werth and Garrett (2011) compared 1 year of predictions from the Global Forecast System GFSS) (a global numerical forecast model system) to nearly 12,000 ground stations, and reported that typical root mean square errors (RMSEs) were 3°C for air temperature and 3.5°C for DPT.