Rain gauges are considered a traditional method for measuring rainfall. They are simpler than weather radar in terms of management, but they can only provide point measurements and offer limited information on spatial rainfall variability (e.g., Borga and Tonelli, 2002; Steiner et al., 2009). To capture the spatial variability of storms over relatively large areas, weather radars are needed (Battan, 1973; Doviak and Zrnic, 1993). Usually, the costs of installation and maintenance these systems are one of the main limitations for their diffusion. Recently, the increased use of X band frequencies for weather radar applications, for instance to cover small catchments and urban areas, has pushed the activity to develop, improve and study such systems (e.g., Delrieu et al., 1999b; Maki et al., 2005; Marzano et al., 2010; Picciotti et al., 2013). In this respect, since November 2011, a single polarization X-band weather radar, called WR-10X, has been installed in Naples’ urban area at the top of Castel Sant’Elmo (280 m a.s.l.). The radar belongs to the Campania Center for Marine and Atmospheric Modelling and Monitoring (CCMMMA) of the University of Naples “Parthenope” and provides high resolution rainfall data which are necessary for monitoring urban flash flood and for runoff simulation in urban drainage. The objective of this work is to calibrate WR-10X rain-rate estimation with the available rain-gauge network using time-space correlation approach in according to rainfall nature (stratiform, convective and mixed). To mitigate ground and sea clutter returns, path attenuation and other impairments, a processing chain has been applied to radar data before rain-rate estimation. To pursue this aim, a large set of data covering a two years period and consisting of radar scans and gauge measurements, have been collected and carefully processed. The structure of the article will follow the list of the topics just mentioned.

X-BAND WEATHER RADAR MONITORING OF PRECIPITATION FIELDS IN NAPLES URBAN AREAS: DATA QUALITY, COMPARISON AND ANALYSIS

CAPOZZI, VINCENZO;BUDILLON, Giorgio;
2014-01-01

Abstract

Rain gauges are considered a traditional method for measuring rainfall. They are simpler than weather radar in terms of management, but they can only provide point measurements and offer limited information on spatial rainfall variability (e.g., Borga and Tonelli, 2002; Steiner et al., 2009). To capture the spatial variability of storms over relatively large areas, weather radars are needed (Battan, 1973; Doviak and Zrnic, 1993). Usually, the costs of installation and maintenance these systems are one of the main limitations for their diffusion. Recently, the increased use of X band frequencies for weather radar applications, for instance to cover small catchments and urban areas, has pushed the activity to develop, improve and study such systems (e.g., Delrieu et al., 1999b; Maki et al., 2005; Marzano et al., 2010; Picciotti et al., 2013). In this respect, since November 2011, a single polarization X-band weather radar, called WR-10X, has been installed in Naples’ urban area at the top of Castel Sant’Elmo (280 m a.s.l.). The radar belongs to the Campania Center for Marine and Atmospheric Modelling and Monitoring (CCMMMA) of the University of Naples “Parthenope” and provides high resolution rainfall data which are necessary for monitoring urban flash flood and for runoff simulation in urban drainage. The objective of this work is to calibrate WR-10X rain-rate estimation with the available rain-gauge network using time-space correlation approach in according to rainfall nature (stratiform, convective and mixed). To mitigate ground and sea clutter returns, path attenuation and other impairments, a processing chain has been applied to radar data before rain-rate estimation. To pursue this aim, a large set of data covering a two years period and consisting of radar scans and gauge measurements, have been collected and carefully processed. The structure of the article will follow the list of the topics just mentioned.
File in questo prodotto:
File Dimensione Formato  
Capozzi Radar Meteo2014.pdf

non disponibili

Tipologia: Documento in Pre-print
Licenza: DRM non definito
Dimensione 810.64 kB
Formato Adobe PDF
810.64 kB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11367/32640
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact