This paper presents review of application of artificial neural networks in weather classification and prediction; some existing weather forecasting models have limitations and also benefits of neural network are discussed in this paper. Accurate weather prediction is important in today’s world as agricultural sector is widely dependent on it. Since there is non-linearity in weather data therefo...

In this paper we want to analyse fuzzy weather forecasts, which are computed in our system and used to forecast pollution concentrations. The system works on real data: weather forecasts, meteorological situations and pollution concentrations. We compare defuzzification of the fuzzy weather forecast with weather forecast from Institute of Meteorology and Water Management. This comprehensive ana...

Hazardous weather in the terminal area is the major cause of aviation system delays as well as a principal cause of air carrier accidents. Several systems currently under development will provide significant increases in terminal safety. However, these systems will not make a major impact on weather-induced delays in the terminal area, meet a number of the safety needs, such as information to s...

Apple scab, Venturia inaequalis, is the most serious fungal disease of apple in Romania. The fungus attacks foliage, blossoms and fruits by defoliating trees and rendering fruit unmarketable. In addition, to cultivated apple, apple scab also attacks flowering crabapple, mountain ash and firethorn.. A simple system for apple growers to monitor environmental weather data (temperature and leaf wet...

The Weather is a continuous, data-intensive, multidimensional, dynamic process that makes weather forecasting a formidable challenge. Weather forecasting involves predicting how the present state of the atmosphere will change. Climate is the long-term effect of the sun's radiation on the rotating earth's varied surface and atmosphere. The Day-byday variations in a given area constitute the weat...

This paper describes a weather-impacted traffic index based on three-dimensional weather information and applies it to air traffic delay estimation. The weather-impacted traffic indices were generated using the high-resolution Corridor Integrated Weather System, which provides accurate, automated and high update rate information on both convective weather location and echo tops. In contrast to ...

A National Weather Service priority, as stated in the FY07-11 Baseline Assessment, is to “Disseminate and deliver NOAA’s information and services.” An important component of NOAA's information data base is the forecast data from NOAA Atmospheric, Ocean and Climate numerical weather prediction (NWP) models operationally prepared at the National Centers for Environmental Prediction (NCEP). Recomm...

Information about weather and climate is vital for many areas of decision-making, particularly under conditions of increasing vulnerability and uncertainty related to climate change. We have quantified the global commercial supply of weather and climate information services. Although government data are sometimes freely available, the interpretation and analysis of those data, alongside additio...

Weather forecasting has become an important field of research in the last few decades. In most of the cases the researcher had attempted to establish a linear relationship between the input weather data and the corresponding target data. But with the discovery of nonlinearity in the nature of weather data, the focus has shifted towards the nonlinear prediction of the weather data. Although, the...

This paper and talk will discuss the applied aspects of joint work with Mathieu Ribatet, Department of Mathematics, Université Montpellier II, and Anthony Davison, Institute of Mathematics, École Polytechnique Fédérale de Lausanne. The complete paper Ribatet et al. [2010] is under review. Weather data are characterized by two types of spatial effects: climate effects that occur on a regional sc...