A computationally intensive part in a model for numerical weather forecasting solves a set of partial diierential equations. There are several techniques to obtain this solution numerically. In this paper we will discuss the implementation of a numerical weather forecasting model on a massively parallel architecture using two techniques: a nite diierence (gridpoint) method and a spectral method...

The basic science of turbulence has been known for many years, yet the knowledge has hardly become a part of operational aviation turbulence forecasting. The history of turbulence forecasting, which has primarily concentrated at elevations above the boundary layer, has been an amalgamation of empirical rules of thumb and forecaster intuition, not of strong theory and conceptual models. Turbulen...

A computationally intensive part in a model for numerical weather forecasting solves a set of partial di erential equations. There are several techniques to obtain this solution numerically. In this paper we will discuss the implementation of a numerical weather forecasting model on a massively parallel architecture using two techniques: a nite di erence (gridpoint) method and a spectral method...

Rainstorm weather systems and storm flood characteristics were studied to explore the relationship between the rainstorm weather system, the type of rainstorm, the cause of the flood and the time of occurrence, and some basic characteristics law of storm floods are summarized in the Second Songhua River Basin (Northeastern China). Then, the periodicity of catastrophic years was identified using...

The use of big data in weather forecasting is examined this article. Large and complicated collections that can be to find patterns, trends, relationships are referred as "big data." Big has become more crucial recent years since it offer insightful information about trends boost precision. difficulties using large for discussed the article along with methods processing analyzing it. It also of...