WSR-88D Radar Data Processing at NCEP

Rainfall Measurements with the Polarimetric WSR-88D Radar

P1.12 a Multidisciplinary Approach to Wsr-88d Data Quality Assurance

Through experience and several field investigations, the Radar Operations Center (ROC) learned that efforts to optimize radars must be undertaken by a multidisciplinary team composed of both t echnicians and meteorologists, with weather radar-related experience in their respective fields. At the ROC, located in Norman, OK, a Data Quality (DQ) team peruses the WSR-88D network daily, proactively ...

An Adaptive Neural Network Scheme for Radar Rainfall Estimation from WSR-88D Observations

Recent research has shown that neural network techniques can be used successfully for ground rainfall estimation from radar measurements. The neural network is a nonparametric method for representing the relationship between radar measurements and rainfall rate. The relationship is derived directly from a dataset consisting of radar measurements and rain gauge measurements. The effectiveness of...

P6.4 Polarimetric Prototype of the Wsr-88d Radar Observations of Birds and Insects

Biological echoes are treated as contamination like ground or sea clutters by radar meteorologists as they estimate rainfall intensities or assimilate radar reflectivity into numerical forecast model. Doppler velocity measured by radar in the presence of small insects well represents air motion because small insects are considered as passive tracers. But in the presence of birds especially migr...

Introduction to the WSR-88D (NEXRAD) for Ornithological Research

The system of Doppler weather surveillance radars known as WSR-88D or more popularly as NEXRAD helped transform radar ornithology in the United States into a field that today attracts considerable attention from scientists and laypersons alike. As interest in ornithological applications of WSR-88D grows, so does the need to provide perspective on its use. In this paper, we introduce WSR-88D and...