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Radar Refractivity: validation and application to forecasting

Radar Refractivity: validation and application to forecasting. Crystalyne R. Pettet, Tammy M. Weckwerth, and James W. Wilson—NCAR/ATD Frédéric Fabry and ShinJu Park—McGill University. Validation. Sfc comparisons. S-Pol N varies most strongly with moisture. Sfc comparisons.

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Radar Refractivity: validation and application to forecasting

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  1. Radar Refractivity: validation and application to forecasting Crystalyne R. Pettet, Tammy M. Weckwerth, and James W. Wilson—NCAR/ATD Frédéric Fabry and ShinJu Park—McGill University

  2. Validation

  3. Sfc comparisons S-Pol N varies most strongly with moisture

  4. Sfc comparisons High correlation between S-Pol N and station N

  5. Mobile mesonets S-Pol N compares favorably with areas of relatively constant mobile N

  6. Mobile mesonets S-Pol N gradients are smoothed

  7. UWKA S-Pol N gradient smoothed over ~10 km S-Pol N compares favorably with areas of relatively constant UWKA N

  8. AERI—Atmospheric Emitted Radiance Interferometer

  9. AERI • Transition between 220-355 m from high to low r values

  10. P-3 • If CBL is well-mixed, N represents at least half the depth of the CBL.

  11. AERI—diurnal and height differences • N bias is strongest at night and improves with mixing of CBL • Strongest relationship occurs at low levels

  12. AERI—diurnal and height differences • Low levels—strong relationship from one hour after sunrise until 2 hours after sunset • Increasing height—strong relationship begins later in the morning and drops off by 2200 UTC

  13. Soundings • Similar results to AERI—lowest 200-250 m

  14. SRL • Strong correspondence between SRL mixing ratio magnitude, surface station mixing ratio, and S-Pol N

  15. Forecasting Utility

  16. Boundary development

  17. CI—10 June 2002

  18. CI—10 June 2002

  19. CI—12-13 June 2002

  20. CI—12-13 June 2002

  21. Summary • Radar refractivity shows excellent correlation with refractivity calculated from other datasets • Vertical depth represented by radar refractivity is typically below 200-250 m AGL, but may be dependent upon the extent of vertical mixing • Horizontal scale of refractivity varies, and appears to be as high as 2 km at times and lower than 4 km at other times

  22. Summary • Radar refractivity shows great promise as a potential nowcasting and forecasting tool

  23. For more information… • Contact me at pettet@ucar.edu to get a pdf of the manuscript that has been submitted to JAM that this talk is based on.

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