With the consideration of the existing Ka-band satellite channel model in data processing method deficiency, the Ka-band satellite channel propagation characteristic is analyzed and the influence of meteorological factors on the satellite channel is discussed. The channel of meteorological factor principal component is obtained by using the principal component analysis and fuzzy clustering anal...

The employment of Artificial Neural Networks to the classification of meteorological data has been considered in previous papers and found to offer promising results. We compare the performance of the Bayesian Classifier with two different Neural Network architectures. The classifiers were used to segment images of cloud into four different meteorological classes on the basis of spectral-textur...

Frost is one of the atmospheric phenomena which seriously threaten crop production. It also causes numerousaccidents in mountainous roads. In this research the Spatial Synoptic Classification SSC method was employed toclassify the type of air masses. For the classification, such meteorological data as: temperature, dew point, mean sealevel pressure, cloudiness, direction and speed of wind were ...

Data classification is usually based on measurements recorded at the same time. This paper considers temporal data classification where the input is a temporal database that describes measurements over a period of time in history while the predicted class is expected to occur in the future. We describe a new temporal classification method that improves the accuracy of standard classification me...

This paper addresses the methodological concerns in quantifying urban heat island (UHI) intensity in Hong Kong SAR, China. Although the urban heat island in Hong Kong has been widely investigated, there is no consensus on the most appropriate fixed point meteorological sites to be used to calculate heat island intensity. This study utilized the Local Climate Zones landscape classification syste...

In the end of the day, meteorological data becomes widely used such as e-monitoring and e-warning. It is used to predict the state of the environmental for a future time. This paper presents the integration of WEKA libraries (Waikato Environment for knowledge analysis) and Google maps API for classification and visualization in e-tracking, which is an environmental tracking. With this software ...

During 2007-2008, a dense network of meteorological stations was deployed across the Oklahoma City metropolitan area to collect real-time, research-quality observations of atmospheric variables throughout the urban environment: the Oklahoma City Micronet (OKCNET). Because surface characteristics can be vastly different between rural and urban areas as well as throughout a city, significant vari...

We explored the threshold effects of meteorological factors on hand, foot and mouth disease (HFMD) in mainland China to improve the prevention and early warning. Using HFMD surveillance and meteorological data in 2011, we identified the threshold effects of predictors on the monthly incidence of HFMD and predicted the high risk months, with classification and regression tree models (CART). The ...

We investigate the impact of hyperfine splitting on stellar abundance analyses of Mn and Sc, and find that incorrect hfs treatment can lead to spurious abundance trends with metallicity. We estimate corrections to a recent study by Nissen et al. (2000), and find: (1) [Mn/Fe] is described by a bimodal distribution, with [Mn/Fe] ∼ −0.3 for stars [Fe/H] < −0.7, and [Mn/Fe] ∼ −0.05 for stars at hig...