Evaluation of NEXRAD Operational Precipitation Estimates in Kansas [Summary]
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Evaluation of NEXRAD Operational Precipitation Estimates in Kansas [Summary]

Filetype[PDF-206.96 KB]


English
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  • Creators:
  • Corporate Creators:
    Kansas. Department of Transportation
  • Subject/TRT Terms:
  • Publication/ Report Number:
    Report Number: K-TRAN: KU-02-8 [Brief]
  • Resource Type:
    Brief
  • Geographical Coverage:
    Kansas
  • Corporate Publisher:
    Kansas. Department of Transportation
  • Abstract:
    This report presents two separate evaluations of NEXRAD operational precipitation estimates for Kansas. The first evaluation uses daily gauge data from the National Weather Service (NWS) cooperative network. This gauge network is independent of data used to develop the NEXRAD operational products, and thus provides a realistic assessment of NEXRAD error characteristics. Many studies of NEXRAD error characteristics compare NEXRAD estimates against hourly rain gauge data that were used to produce the multisensory estimates. Results for such studies should be treated with caution, as they likely underestimate the true error characteristics of the NEXRAD product. NEXRAD bias, correlation, and percent detection are mapped across northern Kansas to demonstrate the spatial distribution of NEXRAD errors as compared with daily rain gauge data. The second evaluation compares NEXRAD estimates of intense precipitation with data from the high-density ALERT network in Johnson County, Kansas. A small number of the ALERT gauges are used at times by the National Weather Service for the production of NEXRAD estimates. As such, the ALERT gauge network is not a completely independent data source. Thirty-four storms over the period 1998 through 2004 were evaluated using this gauge dataset. The ALERT data were spatially interpolated using Kriging techniques prior to comparison with the NEXRAD data. This report presents NEXRAD error characteristics relative to gauge observations for northern Kansas. Errors in NEXRAD estimates appear to be quite large; however, it must be considered that the errors presented in this report are relative to gauge observations – not true rainfall totals. As such, the error terms combine NEXRAD uncertainty, gauge observation errors, and the spatial sampling error inherent in the gauge/NEXRAD mismatch. As a remotely sensed product, NEXRAD estimates should be used to augment – not replace – gauge measurements of precipitation. In areas where no gauge data are available, NEXRAD provides a good source of information on the spatial distribution and relative intensity of rainfall.
  • Content Notes:
    Publication date is estimated from the full report.
  • Format:
    PDF
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