The effects of rain on terrestrial and satellite communication systems, especially at frequencies above 10 GHz, have been statistically dealt with at length. It is also well known that rain height plays an important role in signal fading and co-channel interference due to scattering. The rain height is directly related to the 0 C isotherm. At this height hydrometeors change from solid to liquid state in the melting layer, increasing their reflectivity and causing the bright band effect in radar measurements. The bright band is defined by the top, bottom and maximum reflectivity heights. The peak reflectivity height can be obtained from radar volume scans. This paper presents a statistical characterization of the time and space variability of the maximum reflectivity height during stratiform rain events. This paper also focuses on the dependence between simultaneous meteorological parameters derived from weather radar and from surface automatic weather observation stations at local scale in a temperate climate region. The data used in this study was obtained from 2006 to 2011.Index Terms-Bright band height, radio propagation, satellite communications, weather radar.
The following paper presents an application software for field strength prediction for mobile communication networks inside buildings. The considered technique is based on a proposal that tried to benefit from the advantages of using "dominant paths" (an alternative to ray tracing), and neural networks, trained with measurements. Some graphic and numeric results are presented, but the paper is mainly focused on studying the influences that the variation of some parameters (and consideration of new ones) have on processing time of the training phase for the neural network, and the accuracy of the results.
Abstract. It is well known in the scientific community that some remote sensing instruments assume that sample volumes present homogeneous conditions within a defined meteorological profile. At complex topographic sites and under extreme meteorological conditions, this assumption may be fallible depending on the site, and it is more likely to fail in the lower layers of the atmosphere. This piece of work tests the homogeneity of the wind field over a boundary layer wind profiler radar located in complex terrain on the coast under different meteorological conditions. The results reveal the qualitative importance of being aware of deviations in this homogeneity assumption and evaluate its effect on the final product. Patterns of behavior in data have been identified in order to simplify the analysis of the complex signal registered. The quality information obtained from the homogeneity study under different meteorological conditions provides useful indicators for the best alternatives the system can offer to build wind profiles. Finally, the results are also to be considered in order to integrate them in a quality algorithm implemented at the product level.
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