Abstract: Provided is a rainfall intensity estimation method, including the steps of: receiving specific differential phases, horizontal reflectivities, and differential reflectivities as scan observation data of the multiple elevation observation of the dual-polarization radar observing the very short distance according to elevation angles observed; calculating horizontal attenuations for scans from the horizontal reflectivities among the multiple elevation observation data; calculating vertical attenuations for the scans from the horizontal reflectivities and the differential reflectivities among the multiple elevation observation data; obtaining a volume mean of the horizontal attenuations for the scans, a volume mean of the vertical attenuations for the scans, a volume mean of the specific differential phases, a volume mean of the specific differential phases, a volume mean of the horizontal reflectivities, and a volume mean of the differential reflectivities; and estimating a rainfall intensity from at least one o

Abstract: Provided is an apparatus and a method for estimating a specific differential phase using dual-polarization variables. The apparatus includes: a memory for storing a specific differential phase estimation program for estimating a specific differential phase using the dual-polarization variable of an observation data received from a dual-polarization radar and a self-consistent calculation method; and a processor including: a horizontal attenuation calculation unit; a differential phase calculation unit; a cost function calculation unit; and a specific differential phase calculation unit.

Abstract: Disclosed herein is a meteorological observation system using vehicles. The meteorological observation system using vehicles includes a meteorological observation device embedded in each of the vehicles and configured to periodically detect surrounding weather information and to photograph weather conditions, the vehicle configured to run on a road using radar devices for detecting the front and right and left sides of the vehicle, that is, sensors for supporting driving and prevent a collision, and to provide mobility to the meteorological observation device, a meteorological server configured to collect pieces of the weather information from the meteorological observation devices moving in respective areas through wireless communication and to provide the pieces of weather information to a meteorological observation center, the meteorological observation center configured to use information, received from the meteorological server, as statistical data or meteorological observation and forecast data.

Abstract: An integrated rainfall calculation method using X-band dual-polarimetric radar measurement data includes a precipitation classification step of classifying hydrometeors into four types of snow, rain/snow, rain and non-meteorological target through a fuzzy logic technique using a correlation coefficient (cross correlation coefficient, ?hv), features of a measured differential propagation phase (?dp(r)) or differential propagation phase (?dp) and a signal-to-noise ratio (SNR) as input variables (input feature vector); a specific differential phase calculation step of separately calculating a specific differential phase by applying a specific differential phase using a total difference of differential phase and signal-attenuation corrected reflectivity for the rain among the classified hydrometeors and applying a specific differential phase calculated using a filtering method for the other hydrometeors; and a rainfall calculation step of calculating rainfall by using a relation between the specific differential

Abstract: An integrated rainfall calculation method using X-band dual-polarimetric radar measurement data includes a precipitation classification step of classifying hydrometeors into four types of snow, rain/snow, rain and non-meteorological target through a fuzzy logic technique using a correlation coefficient (cross correlation coefficient, ?hv), features of a measured differential propagation phase (?dp(r)) or differential propagation phase (?dp) and a signal-to-noise ratio (SNR) as input variables (input feature vector); a specific differential phase calculation step of separately calculating a specific differential phase by applying a specific differential phase using a total difference of differential phase and signal-attenuation corrected reflectivity for the rain among the classified hydrometeors and applying a specific differential phase calculated using a filtering method for the other hydrometeors; and a rainfall calculation step of calculating rainfall by using a relation between the specific differential

Abstract: Disclosed herein is a meteorological observation system using vehicles. The meteorological observation system using vehicles includes a meteorological observation device embedded in each of the vehicles and configured to periodically detect surrounding weather information and to photograph weather conditions, the vehicle configured to run on a road using radar devices for detecting the front and right and left sides of the vehicle, that is, sensors for supporting driving and prevent a collision, and to provide mobility to the meteorological observation device, a meteorological server configured to collect pieces of the weather information from the meteorological observation devices moving in respective areas through wireless communication and to provide the pieces of weather information to a meteorological observation center, the meteorological observation center configured to use information, received from the meteorological server, as statistical data or meteorological observation and forecast data.

Abstract: Radar beams are generated with radars disposed at different positions within an environment that attenuates at least a portion of one of the radar beams. A measured reflectivity of the environment is determined along a path of each of the radar beams. An intrinsic reflectivity is determined from different volume elements within the environment from the measured reflectivity.

Abstract: Radar beams are generated with radars disposed at different positions within an environment that attenuates at least a portion of one of the radar beams. A measured reflectivity of the environment is determined along a path of each of the radar beams. An intrinsic reflectivity is determined from different volume elements within the environment from the measured reflectivity.