Rainfall measurements with navigational radar

Rainfall Measurements with the Polarimetric WSR-88D Radar

Investigating rainfall estimation from radar measurements using neural networks

Rainfall observed on the ground is dependent on the four dimensional structure of precipitation aloft. Scanning radars can observe the four dimensional structure of precipitation. Neural network is a nonparametric method to represent the nonlinear relationship between radar measurements and rainfall rate. The relationship is derived directly from a dataset consisting of radar measurements and r...

Case Study: Visualization of Local Rainfall from Weather Radar Measurements

Weather radars can measure the backscatter from rain drops in the atmosphere. A complete radar scan provides three–dimensional precipitation information. For the understanding of the underlying atmospheric processes the interactive visualization of these data sets is necessary. This task is, however, difficult due to the size and structure of the data and due to the neccessity of putting the da...

Sampling errors in rainfall measurements by weather radar

Radar rainfall data are affected by several types of error. Beside the error in the measurement of the rainfall reflectivity and its transformation into rainfall intensity, random errors can be generated by the temporal spacing of the radar scans. The aim of this work is to analize the sensitivity of the estimated rainfall maps to the radar sampling interval, i.e. the time interval between two ...

Rainfall retrieval from polarimetric X-band radar measurements

Dual polarization radars have shown considerable improvement of quantitative estimation of rainfall rate and raindrop size distribution (DSD) parameters. Most studies have been done with S and C-band radars and only a few studies with higher X-band weather radars. X-band radars have the advantages of lower cost and higher differential phase shift but with higher attenuation too. Furthermore, th...