Por favor, use este identificador para citar o enlazar este documento: https://hdl.handle.net/2445/183968
Título: A new methodology to characterise the radar bright band using doppler spectral moments from vertically pointing radar observations
Autor: Garcia Benadi, Albert
Bech, Joan
Gonzalez, Sergi
Udina Sistach, Mireia
Codina, Bernat
Materia: Radar
Efecte de Doppler
Observacions meteorològiques
Radar
Doppler effect
Meteorological observations
Fecha de publicación: 2021
Publicado por: MDPI
Resumen: The detection and characterisation of the radar Bright Band (BB) are essential for many applications of weather radar quantitative precipitation estimates, such as heavy rainfall surveillance, hydrological modelling or numerical weather prediction data assimilation. This study presents a new technique to detect the radar BB levels (top, peak and bottom) for Doppler radar spectral moments from the vertically pointing radars applied here to a K-band radar, the MRR-Pro (Micro Rain Radar). The methodology includes signal and noise detection and dealiasing schemes to provide realistic vertical Doppler velocities of precipitating hydrometeors, subsequent calculation of Doppler moments and associated parameters and BB detection and characterisation. Retrieved BB properties are compared with the melting level provided by the MRR-Pro manufacturer software and also with the 0 °C levels for both dry-bulb temperature (freezing level) and wet-bulb temperature from co-located radio soundings in 39 days. In addition, a co-located Parsivel disdrometer is used to analyse the equivalent reflectivity of the lowest radar height bins confirming consistent results of the new signal and noise detection scheme. The processing methodology is coded in a Python program called RaProM-Pro which is freely available in the GitHub repository.
Nota: Reproducció del document publicat a: https://doi.org/10.3390/rs13214323
Es parte de: Remote Sensing, 2021, vol. 13, num. 21, p. 4323
URI: https://hdl.handle.net/2445/183968
Recurso relacionado: https://doi.org/10.3390/rs13214323
ISSN: 2072-4292
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