Presentation is loading. Please wait.

Presentation is loading. Please wait.

Radar Refractivity: validation and application to forecasting

Similar presentations


Presentation on theme: "Radar Refractivity: validation and application to forecasting"— Presentation transcript:

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

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

6 S-Pol N gradients are smoothed
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 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 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— June 2002

21 Summary Radar refractivity shows excellent correlation with refractivity calculated from other datasets Vertical depth represented by radar refractivity is typically below 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 to get a pdf of the manuscript that has been submitted to JAM that this talk is based on.


Download ppt "Radar Refractivity: validation and application to forecasting"

Similar presentations


Ads by Google