Prediction of surface refractivity gradient distributions, from weather station surface data
- 1 April 2014
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 296-300
Abstract
The availability of fixed radio links, especially at latitudes below 40 degrees, can be severely affected by sub-refractive events that may only be present for an hour or two each year, or around the 99.98% point of the refractivity gradient distribution. This tail point is beyond the highest percentile currently available from world-wide meteorological model predictions. In many countries radiosonde data is too sparsely distributed for useful accuracy, so a more densely distributed data source is required. This suggests the use of surface meteorological data, which is generally available from many automatic weather stations at good time resolution. This paper reviews empirical models for surface refractivity gradient cumulative distribution that use surface meteorological data, and presents a new model, which uses a new variable, surface refractivity anomaly.Keywords
This publication has 5 references indexed in Scilit:
- Statistics of Lower Atmosphere Refractivity in Czechia2006
- A subrefractive fading model for microwave paths using surface synoptic meteorological dataIEEE Transactions on Antennas and Propagation, 1987
- Propagation Predictions for Marginal LOS Microwave Paths1985
- Prediction of Positive Refractivity Gradients for Line-of-Sight Microwave Radio PathsBell System Technical Journal, 1981
- Turbulence in an atmosphere with a non-uniform temperatureBoundary-Layer Meteorology, 1971