abstract long-term historical weather data are needed to conduct crop simulation analysis. simulated climatic data may be used when long series of historic data are not available or convenient or when future data are needed. the aim of this study was to generate daily weather values for maximum and minimum air temperatures. a number of weather generators are compared here. data from ten station...

Recently, the number of unusual extreme weather that causes natural disasters is increasing, and accompanying phenomena such as local heavy rainstorms, tornado, and gust fronts have caused an immediate and often devastating impact on a broad range of human activities. Weather radar has played an important role to survey those meteorological phenomena associated with rainfall and to mitigate mos...

Weather forecasts are nearly always portrayed from either a satellite view perspective, a numerical or symbol based representation. None of these methods actually portray weather visually from the point of view of the observer, that is, they do not represent our experience of weather. This problem presents a challenge to displaying weather using real-time 3D computer graphics. 3D Weather is a p...

There are two reasons why tropical weather is different from that at higher latitudes. The sun shines more directly on the tropics than on higher latitudes (at least in the average over a year). This makes the tropics warm. And, the vertical direction (up, as one stands on the earth’s surface) is perpendicular to the earth’s axis of rotation at the equator, while the two are the same at the pol...

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...

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 ...

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...