Improving WSR-88D Hourly Rainfall Estimates

Rainfall Measurements with the Polarimetric WSR-88D Radar

Rainfall Estimation with a Polarimetric Prototype of WSR-88D

As part of the Joint Polarization Experiment (JPOLE), the National Severe Storms Laboratory conducted an operational demonstration of the polarimetric utility of the Norman, Oklahoma (KOUN), Weather Surveillance Radar-1988 Doppler (WSR-88D). The capability of the KOUN radar to estimate rainfall is tested on a large dataset representing different seasons and different types of rain. A dense gaug...

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...

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...

Recalibration of Hydrologic Models for Use with Wsr-88d Precipitation Estimates

With the deployment of the WSR-88D weather radar, the National Weather Service will provide improved estimates of hourly precipitation accumulations for most of the United States on roughly a 4 by 4 km grid. This information will be used as input to operational hydrologic models to improve streamflow prediction for flood forecasting and water resources management. A critical issue that hydrolog...