in order to recognize isfahan weather types, in this research 22 variables including temperature, precipitation, atmospheric humidity and wind were studied in isfahan synoptic station from dey,11th,1339(january,1st,1960) to dey,11th,1383 (december,31st,2004). a cluster analysis on the euclidean distance of standardized matrix of data and linking days on the basis of ward method showed that isfa...

Over the past 10 years significant progress has been made in atmospheric sensing with GPS. Both spacebased atmospheric sounding and ground-based measurements of integrated delay due to the troposphere have shown promise for meteorological applications. Now the focus is shifting from developing and validating the sensing technology towards applying it to weather forecasting. This paper will focu...

The paper describes an algorithm for constructing convective weather avoidance polygons. The algorithm combines weather avoidance fields (WAF) from the en route convective weather avoidance model (CWAM) with edges automatically detected in the echo tops field, clustering, convex hull fitting and wind data to build weather avoidance polygons. Results for 2 case days with significantly different ...

The building construction is a very complex project which requires the collaboration of many participants and various resources. It important to identify mitigate problems in that can hamper performance such as delay, cost overruns, low quality. objective study determine factors projects affect cost, quality, time performance. method used this research Analytical Hierarchy Process (AHP) analyze...

This study envisages assessing the effects of COVID-19 on on-time performance US-airlines industry in disrupted situations. The deep learning techniques used are neural network regression, decision forest boosted tree regression and multi class logistic regression. best technique is identified. In perspective data analytics, it suggested what airlines should do for situation. performances all m...

This project analyzed the effectiveness of a city-wide wireless weather sensor network, the Taipei Weather Science Learning Network (TWIN), in facilitating elementary and junior high students’ study of weather science. The network, composed of sixty school-based weather sensor nodes and a centralized weather data archive server, provides students with current weather data at specific locations ...

Weather prediction is a real time challenging issue witnessed by the world in the last decade. The prediction is becoming more complex due to the ever changing weather conditions. Many models have been discussed for predicting the weather data assuming the related attributes as independent variables. For effective analysis of the weather, it is necessary to understand various influencing factor...

Integration of weather information into the air traffic flow control decision process is a key component of the planned Next Generation Air Transportation System (NexGen). The NexGen Joint Program Development Office (JPDO) has designated a Weather Integration sub-team to specifically address the issue of translating weather information into air traffic decisions (Andrews et al., 2007). The pres...

Recently, there has been an increased interest in quantifying and modeling the impact of inclement weather on transportation system performance. One problem that the majority of previous research studies on the topic have faced is that they largely depended on weather data merely from atmospheric weather stations, which lacked information about road surface condition. The emergence of social me...