Estimation of energy, spectral and polarimetric characteristics of meteorological echoes in DMRL-C

Analysis of the experimental investigations of meteorogical formations (MF) characteristics obtained during testing and operating of the Doppler C-band meteorological radar has been conducted. For different atmospheric phenomena the results of primary data processing echoes signals are illustrated by plots with spatial conic sections for the main MF characteristics. Evaluation algorithms of the characteristics indicated above and their main properties related to signal selection and DMRL-C modes are represented. Particularly, when obtaining ofMF reflectivity parameters, in DMRL-C data multiplexing at the coupling point between monopulse (Mono) and complete pulse (SFM) areas is performed. In DMRL-C two methods are used for MF Doppler parameters evaluation: pulse-pair and the Capon's method with ultra-high resolution. In both methods repetition interval wobbling is implemented to eliminate ambiguity of radial velocity evaluation. In addition, by applying these methods to training sample the inter-periodic correlation coefficients are estimated with high probability. Thus, these valuations are used to determinate MF Doppler parameters. The main advantages and disadvantages of the used algorithms have been discussed in different weather conditions. Rejection filter is an important element of the primary processing system in DMRL-C which reduces ground clutters. It is an adaptive lattice filter with experimentally verified high efficiency suppression. Meanwhile, the MF energy characteristics are minimum distorted. It has been shown that measurements of the specified MF parameters during the primary data processing are conducted with the required accuracy and high resolution. Thus, the information obtained during the second data processing of clouds structure and severe weather phenomena is considerably complete and reliable.