TRANSPORT
AVIATION, ROCKET AND SPACE TECHNOLOGY
RADIO ENGINEERING AND COMMUNICATIONS
Meteorological support of flights (MSF) of civil aviation (CA) is one of the types of support of flights and is carried out in order to ensure the safety, regularity and efficiency of flights by providing the required meteorological information to users of airspace, bodies engaged in air traffic management. The international and national regulation of the MSF CA is based on the recommendations of the World Meteorological Organization (WMO) and ICAO as well as the Federal Aviation Regulations and other regulatory and guidance documents. In the Russian Federation the MSF CA is performed by "Aviamettelekom of Roshydromet", which is a regional organization with a regional-distributed network of structural units including a head office and 15 branches. Aerodrome meteorological authorities conduct the direct meteorological support. At present, there are a number of problems in the MSF CA, that is availability of the regulatory acts and rules allowing the use by aviation consumers of meteorological information supplied outside the officially authorized providers of meteorological information; insufficient technical provision with modern meteorological equipment of aerodrome meteorological authorities; obsolescence of existing technical means to carry out meteorological observations and supply meteorological information; lack of qualified meteorologists; divisions redundancy of "Aviamettelekom of Roshydromet"; in a number of regions of the Russian Federation there is a lack of reliable methods for weather forecasts and hazardous weather phenomena for aviation; insufficient coverage of the country's territory with a network of meteorological radar and aerological stations. The main ways of improving the MSF CA must be guided in several directions simultaneously: improvement of the legislative and regulatory frameworks of the MSF CA; the development and introduction of modern technical means for carrying out meteorological observations and measurements; development and implementation of computer-aided forecasting on the basis of modern numerical methods and prediction techniques; the centralization of the forecasting processes and sharing weather data.
Estimates of the velocity of the chaotic medium motion using information of "narrow" spectral intervals of stationary random signals generated by the motion of such media on the sensors located at two points along the direction of medium motion are considered. The question about the physical meaning of the minimum spectral interval required for such measurements with a given accuracy is posed and discussed based on the main relations given in the article and formulated using the theory of homogeneous isotropic turbulence. It is shown, that within suggested relations the process of filtration may be described using a turbulent term and so the results of the filtration could be seen as a virtual turbulent dissipation. The latter allowed semiquantitatively describing the results of the numeric calculations presented in the article and forming the ways of the further development of the approach suggested which after appropriate updating might be called a "full filtered correlation analysis" (FFCA). In particular, a method of turbulent dissipation rate measurement by means of two (or more) filters with different bandpasses applied to signals in two points of cross-correlation measurements and an approach to the physically clear description of the optimal number of Fourier-terms in the representation of the signal passed the filter are outlined as well as the approach to a turbulence spectral shape evaluation. Apart from that, with the relations given in the article, the well-known fact that Doppler measurements are not applicable to the remote sensing with use of wideband signals as an information carrier as well as the reason why such measurements are applicable in the case of signals with narrow spectra receive its clear physical explanation. The latter allows forming the definition of a monochromatic signal as it is from the point of view of a cross-correlation analysis.
ISSN 2542-0119 (Online)