Weather radar systems transmit raw data over the network, with 24h / 24h continuity and in any weather condition. They are often located in digital divide areas and, for this reason, radar measurements are sometimes processed partially on site and reduced in size to be adapted to the limited bandwidth available in those zones. This research project aims at studying, designing and implementing a data transferring and managing system, suitable to collect, transfer and process data from the weather radar, in order to better exploit the information addressed to the Functional Center. The main goal is to explore a methodology as much as possible standard and replicable, able both to convey the amount of raw information by means of local broadband connections and to process data through modern computing systems based on innovative technologies for the elaboration, record and analysis of the information. For example, due to uncertainties affecting weather radar rainfall estimations, a common technique to reconstruct the rainfall field is to compare weather radar observations with ground measurements given by rain gauges. The metropolitan area of Turin, in Italy, offers the unique condition of a C-band polarimetric Doppler weather radar which is just 6 km far away from the downtown, in addition to a dense network made by tens of tipping-bucket rain gauges. In order to reduce biases and errors between ground measurements and weather radar rainfall estimations, this study shows an application of a reflectivity / rainfall rate (Z-R) calibration technique applied on the native weather radar grid, taking the advantage of higher resolution obtained near the antenna.
Weather radars applications: innovative telecommunication systems and rainfall field reconstructions using a rain gauges network
GUENZI, DIEGO;ACQUAOTTA, FIORELLA;FRATIANNI, SIMONA
2014-01-01
Abstract
Weather radar systems transmit raw data over the network, with 24h / 24h continuity and in any weather condition. They are often located in digital divide areas and, for this reason, radar measurements are sometimes processed partially on site and reduced in size to be adapted to the limited bandwidth available in those zones. This research project aims at studying, designing and implementing a data transferring and managing system, suitable to collect, transfer and process data from the weather radar, in order to better exploit the information addressed to the Functional Center. The main goal is to explore a methodology as much as possible standard and replicable, able both to convey the amount of raw information by means of local broadband connections and to process data through modern computing systems based on innovative technologies for the elaboration, record and analysis of the information. For example, due to uncertainties affecting weather radar rainfall estimations, a common technique to reconstruct the rainfall field is to compare weather radar observations with ground measurements given by rain gauges. The metropolitan area of Turin, in Italy, offers the unique condition of a C-band polarimetric Doppler weather radar which is just 6 km far away from the downtown, in addition to a dense network made by tens of tipping-bucket rain gauges. In order to reduce biases and errors between ground measurements and weather radar rainfall estimations, this study shows an application of a reflectivity / rainfall rate (Z-R) calibration technique applied on the native weather radar grid, taking the advantage of higher resolution obtained near the antenna.
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