Data from weather satellites have become integral to the weather forecast process in the United States and abroad. Satellite data are used to derive improved forecasts for short-term routine weather, long-term climate change, and for predicting natural disasters. The resulting forecasts have saved lives, reduced weather-related economic losses, and improved the quality of life. Weather informat...

The Forecasting Ocean Assimilation Model (FOAM) system is an operational short-range deep ocean forecasting system. It consists of a set of nested model configurations, ranging from a global 1 ̊ model to intermediate resolution basin-scale models down to high resolution regional models, each of which takes boundary conditions from the larger-scale models. The models are forced at the surface by ...

Convective weather is responsible for large delays and widespread disruptions in the U.S. National Airspace System (NAS), especially during summer months when travel demand is high. This has been the motivation for Air Traffic Flow Management (ATFM) algorithms that optimize flight routes in the presence of reduced airspace and airport capacities. These models assume either the availability of r...

How might lightning measurements be used to improve short-term (0-24 hr) weather forecasting? We examine this question under two different prediction strategies. These include integration of lightning data into short-term forecasts (nowcasts) of convective (including severe) weather hazards and the assimilation of lightning data into cloud-resolving numerical weather prediction models. In each ...

The purpose of this paper is to demonstrate the validity of mesoscale numerical weather prediction modeling near the complex terrain at Aubrey Cliffs, Arizona, and to investigate the influence of the outer domain size employed on the computational results. Mesoscale Modeling v5 (MM5) was implemented to produce numerical wind data that was compared with experimental wind data. The results obtain...

North part of Japan is one of the heaviest snowfall regions in winter. In a certain case, wet snow accretes to civil engineering structure such as power lines. There is a demand for the prediction that when the snow accretion will occur. General weather forecast is not enough resolution and meteorological variable for estimating snow accretion. By calculating weather condition on our own accoun...

China Meteorological Administration (CMA) and regional centers have developed their own Numerical Weather Prediction (NWP) operation systems, which work process is complicated, including data preprocessing, analysis, model forecast, post-processing, visualization and other aspects but were lack of a unified management and monitoring. Based on the demands of NWP operation systems, this article g...

The need for reliable predictions in environmental modelling is long known. Particularly, the predicted weather and meteorological information about the future atmospheric state is crucial and necessary for almost all other areas of environmental modelling. Additionally, right decisions to prevent damages and save lives could be taken depending on a reliable meteorological prediction process. L...

Weather derivatives enable energy companies to protect themselves against weather risk. Weather ensemble predictions are generated from atmospheric models and consist of multiple future scenarios for a weather variable. They can be used to forecast the density of the payoff from a weather derivative. The mean of the density is the fair price of the derivative, and the distribution about the mea...

The Marine Meteorology Division of the Naval Research Laboratory (NRL MMD) is actively involved in the field of Numerical Weather Prediction (NWP) to provide continuous weather suDoort to the U. S. Navy for both wartime and peacetime missions. This support extends from the Surface of the earth to altitudes exceeding 10 km, and for time scales ranging from a few hours up to 7 days The NWP produc...