The Impact of Reflectivity Gradients on the Performance of Range-Oversampling Processing

Curtis, Christopher D.; Torres, Sebastián M.

doi:10.1175/JTECH-D-20-0201.1

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The Impact of Reflectivity Gradients on the Performance of Range-Oversampling Processing

2021
By Curtis, Christopher D. ; Torres, Sebastián M.
Source: Journal of Atmospheric and Oceanic Technology, 38(8), 1343-1352

[PDF-1.65 MB]

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Journal Title:

Journal of Atmospheric and Oceanic Technology
Personal Author:

Curtis, Christopher D. ; Torres, Sebastián M.

Curtis, Christopher D. ; Torres, Sebastián M. Less -
NOAA Program & Office:

OAR (Oceanic and Atmospheric Research) ; NSSL (National Severe Storms Laboratory) ; CIWRO (Cooperative Institute for Severe and High-Impact Weather Research and Operations)

OAR (Oceanic and Atmospheric Research) ; NSSL (National Severe Storms Laboratory) ; CIWRO (Cooperative Institute for Severe and High-Impact Weather Research and Operations) Less -
Description:

Range-oversampling processing is a technique that can be used to lower the variance of radar-variable estimates, reduce radar update times, or a mixture of both. There are two main assumptions for using range-oversampling processing: accurate knowledge of the range correlation and uniform reflectivity in the radar resolution volume. The first assumption has been addressed in previous research; this work focuses on the uniform reflectivity assumption. Earlier research shows that significant reflectivity gradients can occur in storms; we utilized those results to develop realistic simulations of radar returns that include effects of reflectivity gradients in range. An important consideration when using range-oversampling processing is the resulting change in the range weighting function. The range weighting function can change for different types of range-oversampling processing, and some techniques, such as adaptive pseudowhitening, can lead to different range weighting functions at each range gate. To quantify the possible effects of differing range weighting functions in the presence of reflectivity gradients, we developed simulations to examine varying types of range-oversampling processing with two receiver filters: a matched receiver filter and a wider-bandwidth receiver filter (as recommended for use with range oversampling). Simulation results show that differences in range weighting functions are the only contributor to differences in radar reflectivity measurements. Results from real weather data demonstrate that the reflectivity gradients that occur in typical severe storms do not cause significant changes in reflectivity measurements and that the benefits from range-oversampling processing outweigh the possible isolated effects from large reflectivity gradients.
Keywords:

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Numerical weather forecasting Quality Assurance Radar Observations Weather Radar Signal Processing
Source:

Journal of Atmospheric and Oceanic Technology, 38(8), 1343-1352
DOI:

https://doi.org/10.1175/JTECH-D-20-0201.1
Document Type:

Journal Article
Funding:

Grant no. NA11OAR4320072
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Submitted
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urn:sha256:0dab14cade187b071185da0b602d481dea4a21d159a21de2c0f5e007cd8271a5
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https://repository.library.noaa.gov/view/noaa/33725/noaa_33725_DS1.pdf
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The Impact of Reflectivity Gradients on the Performance of Range-Oversampling Processing

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