1. Research Update 10 February 2012 Updated 15 February 2012

2. Background What is the reason for increased number of storm reports with the presence of an ALT? – Background conditions similar, ALT acts as trigger? – ALTs associated with increased CAPE?

3. Procedure Calculate MUCAPE at 6 different stations at 1800 UTC over the length of the climatology (n=1530) – Stations: CLT, RDU, LYH, RIC, IAD, PHL Each is located in a different section of the domain (SW, SE, WC, EC, NW, NE) – MUCAPE is calculated from most unstable parcel in the lowest 180 hPa of the atmosphere – Dataset used: CFSR – Partitioned into ALT/Non–ALT based on whether or not an ALT was present at 1800 UTC

4. Whiskers: 10 th and 90 th percentile NARRCFSR

5. Whiskers: 10 th and 90 th percentile NARR CFSR All median ALT > all median non-ALT at 99% confidence level

6. Whiskers: 10 th and 90 th percentile CFSR NARR

7. Whiskers: 10 th and 90 th percentile CFSR NARR

8. Percentage of Days with MUCAPE > 0 Higher proportion of ALT days are associated with >0 MUCAPE compared to non-ALT days NARR

9. Whiskers: 10 th and 90 th percentile

11. Percentage of Days with MUCAPE > 100 Higher proportion of ALT days are associated with >100 MUCAPE compared to non-ALT days

12. MUCAPE > 0 is more likely on ALT Days Median MUCAPE is mostly higher on ALT Days, especially at RIC, IAD and PHL Median MUCAPE and 75 th /90 th percentiles are highest at IAD and PHL MUCAPE values themselves may be a little low – dataset issues? Could this help explain the maximum in storm reports near IAD? Why are ALTs associated with higher MUCAPE? – ALTs associated with higher low-level θ e ? – ALTs associated with steeper low to mid-level lapse rates? Key Results / Further Questions

13. Determining CAPE/Shear Phase- Space of First Storm Reports of the Day

14. Determine CAPE/shear phase space in which severe thunderstorms in ALT Zone occur – This information could be useful to forecasters in determining if severe weather is expected Objective

15. Procedure Find location and time of first severe report on a certain day (0400–0359 UTC) Calculate MUCAPE and Sfc–500 hPa bulk shear at location of storm report using nearest NARR analysis time 0.5 to 3.5 hours prior to storm report (n=576) First report (UTC)Corresponding NARR analysis time (UTC) 1530–18291500 1830–21291800 2130–00292100 First storm report occurred between 1530 and 0029 UTC on 76.3% of all days in climatology

16. Problems from last time Email 13 Jan 2012 Items (a), (b) and (c) are addressed in the following slides

17. Additional Procedures Clustering – attempt to control for inconsistencies in “reports per storm” – Overlay a 0.5° by 0.5° grid box over the domain – If a storm report occurs within a certain grid box on a certain day, that grid box is considered “active” for the day Any subsequent storm reports occurring within the active box are discarded for the day The number of active grid boxes for each day are tallied to measure how widespread the severe weather was on that day

18. 1 st Report CAPE/Shear by Active Grid Boxes Some evidence for higher MUCAPE/shear on highly convectively active days, but not likely to be a statistically significant difference

19. Additional Procedures Subsectioning – attempt to control for CAPE/shear of first storm report not being representative of environment in which most storm reports occur CENTER NORTH SOUTH

20. North sector shows a higher proportion of days with greater areal coverage of convection

21. South sector peaks earlier (1800 UTC) than north sector (2000 UTC) Center sector has flat peak between 1800–2100 UTC

22. 1 st Report CAPE/Shear by Sectors

24. 1 st Report CAPE/Shear by Intervals of Active Grid Boxes per Day – North Sector Not much to distinguish days with/without large areal coverage of severe weather

25. 1 st Report CAPE/Shear by Intervals of Active Grid Boxes per Day – Center Sector Not much to distinguish days with/without large areal coverage of severe weather

26. 1 st Report CAPE/Shear by Intervals of Active Grid Boxes per Day – South Sector Not much to distinguish days with/without large areal coverage of severe weather

27. Few first storm reports occurred in this phase- space

29. No first storm reports occurred in this phase- space

30. 1 st Report CAPE/Shear by Month – South Sector Monthly variability exists in CAPE/shear of first storm reports

31. 1 st Report CAPE/Shear by Month – Center Sector Monthly variability exists in CAPE/shear of first storm reports

32. 1 st Report CAPE/Shear by Month – North Sector Monthly variability exists in CAPE/shear of first storm reports

33. 1 st Report CAPE/Shear by Intervals of Active Grid Boxes per Day – Center Sector, Jun, Jul, Aug Even when broken up by month, still not much to distinguish days with/without large areal coverage of severe weather

34. 1 st Report CAPE/Shear by Intervals of Active Grid Boxes per Day – Center Sector, May & Sep Some evidence of preference toward high shear/low CAPE during May and Sept., but “n” is small

35. Clustering/subsectioning approaches show: – North sector showed highest proportion of days with greater areal coverage of severe reports – North (south) sector has a peak in time of first severe report at 2000 (1800) UTC, with center sector showing a flat peak between 1800–2100 UTC – First storm reports in north (south) sector occur in environments of greater shear (CAPE), lesser CAPE (shear) than the other sectors – North sector shows an area on the CAPE/shear phase space where severe weather does not happen Key Results / Further Questions

36. Clustering/subsectioning approaches show: – In all sectors, median CAPE is higher in JJA, while median shear is higher in MS Highest CAPE/lowest shear occurs in August in North/Central sectors; July/August in South sector – Boxplots show that CAPE/shear at first storm report is not a good indicator of how convectively active a particular day will be Why? – Need dataset with better temporal resolution? – Background conditions are of less importance than the strength of forcing for ascent? Key Results / Further Questions

37. Given the background convective parameters of the ALT Zone, what is the role of the ALT/PFT in triggering convection in the ALT Zone? – We have seen that ALTs are associated with above- average MUCAPE, especially in the North Sector – Where does convection/severe weather occur with respect to the ALT/PFT? – What are the processes by which the ALT/PFT triggers/sustains/enhances convection?