GABELLA M

ORIONE F

PERONA G

R. NOTARPIETRO

TURSO S

ZAMBOTTO M

English

TURSO, STEFANO

NOTARPIETRO, RICCARDO

ORIONE, FIAMMETTA

GABELLA, MARCO

PERONA, Giovanni Emilio

PORTO@iris (Publications Open Repository TOrino - Politecnico di Torino)

05 August 2020POLITECNICO DI TORINORepository ISTITUZIONALEMicroRadarNet: a Network of Weather Micro Radars for the Estimation of Local High-Resolution Precipitation Patternand Rainfall Amount / TURSO S; ZAMBOTTO M; R. NOTARPIETRO; ORIONE F; GABELLA M; PERONA G. - (2010).((Intervento presentato al convegno EGU 2010 tenutosi a Wien, Austria nel Maj 2-7, 2010.OriginalMicroRadarNet: a Network of Weather Micro Radars for the Estimation of Local High-ResolutionPrecipitation Pattern and Rainfall AmountPublisher:PublishedDOI:Terms of use:openAccessPublisher copyright(Article begins on next page)This article is made available under terms and conditions as specified in the  corresponding bibliographic description inthe repositoryAvailability:This version is available at: 11583/2364071 since:Geophysical Research AbstractsVol. 12, EGU2010-9448-1, 2010EGU General Assembly 2010© Author(s) 2010MicroRadarNet: a Network of Weather Micro Radars for theIdentification of Local High-Resolution Precipitation PatternsStefano Turso, Marco Zambotto, Riccardo Notarpietro, Fiammetta Orione, Marco Gabella, and Giovanni PeronaPolitecnico di Torino, Dipartimento di Elettronica, Torino, Italy (Stefano.turso@polito.it, +39 011 5644 200)MicroRadarNet (MRN) is a network of high-resolution, low-cost, low-power consumption micro radars for contin-uous, unattended meteorological monitoring. The MRN project started in the framework of the European INTER-REG IIIB Alpine Space Programme (within the FORALPS project) since 2004 and was developed and operatedby the Remote Sensing Group at the Politecnico di Torino from its early design stages. MRN is currently under itsfinal pre-release testing and validation stage, cooperating with professional weather operators (e.g. civil protectionoffices) to run extensive on-field tests.The key aspects of MRN are a short range strategy (about thirty kilometers) and the implementation of an effectivesensor network approach. Raw spatial and temporal data is processed on-board in real-time, yielding a consistentevaluation of the information from the sensor and compressing the data to be transmitted. Network servers receiveand merge the data sets coming from each unit yielding a synthetic, high resolution plot of meteorological events(updated every minute). This networked approach implies in turn a sensible reduction of the overall operationalcosts, including management and maintenance aspects, if compared to the traditional long range C-band approach.An ever-growing database of meteorological events is being collected, thus providing a real-data test bench to re-fine assessment and data enhancement algorithms. Assessment techniques have been adopted for the estimation ofprecipitation, based on systematic rain gauges comparisons. Efforts were also devoted to the design and implemen-tation of specific decluttering algorithms. New techniques to mitigate the effect of co-channel interference sourcesare also under testing. It is shown how these enhancement algorithms further improve the assessment process rais-ing the overall data quality.A consistent amount of case studies clearly shows that MicroRadarNet has enough potentialities to act as a fast-reacting weather monitoring tool. The proposed strategy, based on a network of short range radars, shall effectivelyperform high resolution monitoring while lowering the overall operational costs. This could prevent, by design,the volumetric resolution loss at higher ranges, as well as the need for atmospheric corrections and the shieldingshortcomings which typically occur in orographically complex areas.

MicroRadarNet: a Network of Weather Micro Radars for the Estimation of Local High-Resolution Precipitation Pattern and Rainfall Amount

https://iris.polito.it/retrieve/handle/11583/2364071/52766/EGU2010-9448-1.pdf

MicroRadarNet: a Network of Weather Micro Radars for the Estimation of Local High-Resolution Precipitation Pattern and Rainfall Amount

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