Next-Generation Weather Radar (NEXRAD) multisensor precipitation estimates
will be used for a host of applications that include operational streamflow
forecasting at the National Weather Service River Forecast Centers (RFCs)
and nonoperational purposes such as studies of weather, climate, and hydrol
ogy. Given these expanding applications, it is important to understand the
quality and error characteristics of NEXRAD multisensor products. In this p
aper, the issues involved in evaluating these products are examined through
an assessment of a 5.5-yr record of multisensor estimates from the Arkansa
s-Red Basin RFC. The objectives were to examine how known radar biases mani
fest themselves in the multisensor product and to quantify precipitation es
timation errors. Analyses included comparisons of multisensor estimates bas
ed on different processing algorithms, comparisons with gauge observations
from the Oklahoma Mesonet and the Agricultural Research Service Micronet, a
nd the application of a validation framework to quantify error characterist
ics. This study reveals several complications to such an analysis, includin
g a paucity of independent gauge data. These obstacles are discussed and re
commendations are made to help to facilitate routine verification of NEXRAD
products.