The investigation of weather effects on traffic intensity is important from a road safety point of view, because traffic intensity is noted as the first and primary determinant of traffic safety. Next to traffic safety, weather conditions affect other predominant traffic variables, namely traffic demand and traffic flow. Therefore the main objective of this study is the identification and compa...

The estimation of the capacity of an airspace region during weather events is an important part of air traffic management. This problem must be solved ahead of time with predicted traffic demands and weather forecasts. In order to capture the uncertainty of the weather, a stochastic weather model is used. We investigate the problem of estimating the maximum capacity of an airspace region by ana...

Climate strongly influences global wildfire activity, and recent wildfire surges may signal fire weather-induced pyrogeographic shifts. Here we use three daily global climate data sets and three fire danger indices to develop a simple annual metric of fire weather season length, and map spatio-temporal trends from 1979 to 2013. We show that fire weather seasons have lengthened across 29.6 milli...

The knowledge of weather is useful for finding climate change over a period. In this present frame work uses 15 years of weather of Hyderabad city , data a real time the datasets collected from weather station. Weather data is a time series and multidimensional data. Outliers are the objects whose behavior is different from the rest. Outliers in weather data represent the cyclone, drought, seas...

1 2 ABSTRACT 3 4 The weather-sensitive Traffic Estimation and Prediction System (TrEPS) aims to accurately 5 estimate and predict traffic state under inclement weather conditions. Successful application 6 of weather-sensitive TrEPS requires detailed calibration of weather effects on traffic flow 7 model. In this paper, systematic procedures of the entire calibration process are developed, 8 fro...

Weather and climate affect many ecological processes, making spatially continuous yet fine-resolution weather data desirable for ecological research and predictions. Numerous downscaled weather data sets exist, but little attempt has been made to evaluate them systematically. Here we address this shortcoming by focusing on four major questions: (1) How accurate are downscaled, gridded climate d...

This brief paper is written for GPS engineers or systems designers who need to know about space weather. Just as an architect might need to know about hurricanes or tornadoes, characterizing space weather enables designers to understand vulnerabilities in their designs, to create more robust designs, and to determine how best to avoid risk. Space weather is a somewhat arcane topic studied by a ...

Weather operations play an important and integral part of planning, execution and sustainment of mission operations. In this paper, a neuro-fuzzy hybridization technique is applied to model the weather operations and predict its impact on the effectiveness of air tasking operations and missions. Spatiotemporal weather data from various meteorological sources are collected and used as the input ...

An understanding of convective weather impacts on en route airspace capacity is a first step toward development of predictive tools to support both tactical and strategic routing decisions in storm-impacted airspace. This study presents a model for traffic reductions in en route sectors that result from convective weather impacts. A model to predict the impact of convective weather on en route ...