1. 1 Conference Call April 11, 2012 Modeling update Rough draft: slides for Tropical Workshop Climatology: What has been completed/what needs to be done Focuses over next month/open discussion

2. 2 Decay over Land Many participants in last call suggested looking at decay based on quadrant Using same data sets, broken down by quadrants: –Center of storm based on interpolated hourly best track position –Points NE of storm: quadrant 1 –Points NW of storm: quadrant 2 –Points SW of storm: quadrant 3 –Points SE of storm: quadrant 4

3. 3 Decay over Land Brief overview of results (full results to be shared on blog in interest of time) –Interesting variations based on quadrant –Slope of reductions over time varies rather significantly for various quadrants

4. 4 Modeling Update Having trouble running WRF-LES simulations on local machine NCAR computational information systems laboratory Will be working to run simulations on this system, while our system is being upgraded

5. 5 Modeling Update Examine lowest scan from Morehead (available until time of landfall, then radar goes down for several hours) Examine eye signature of wind field Compare to WRF/HWind analyses to radial velocity returns for radar; see “true” basic structure of eye

6. 6 Rough Draft: Training Slides

7. 7 TC Sustained Wind and Gust Forecasting RCL file provided by NHC: contains 64/50/34 knot wind radii out to day 5 TCMWindTool uses these values, along with background model, “pie slices,” and land reduction factor provided by forecaster to create raw wind forecast Lack of “scientific” thought results in large degrees of spread and error in sustained wind speed and gust forecasts

8. 8 Hanna (2008): Sample NDFD Forecast (Issued 00z 5 th September, Valid 06z 6 th September)

9. 9 Study Objectives The overall goal of this study is to improve the wind speed and wind gust forecasts associated with tropical cyclones. The primary focuses for improvement are in the land reduction factors and gust factors used in the TCMWindTool and forecast process.

10. 10 NDFD Verification “Latest” NDFD sustained wind speed forecast was compared to both ASOS and HWind Surface Analyses for storms affecting the region 2005-2010 General trend of overprediction of surface wind speeds WFOs clearly come out in wind speed error analysis, indicative of lack of consistency in land reduction and gust factors used CAD situations often lead to a poor wind forecast for a given region, as seen in Hanna (2008) and Ernesto (2006)

11. 11 Valid at DATE September 2008 TIME

12. 12 Preliminary Results Preliminary results suggested increase in land reduction factors necessary for almost all areas Raleigh WFO appears to have smallest difference between forecast and HWind analysis (where forecasters used strongest land reduction factors of 33%) NDFD – HWIND Analysis at (a) 0730 27 August, (b) 1330 27 August, (c) 1930 27 August, and (d) 0130 27 August (UTC) (a)(b) (c) (d)

13. 13 Decay over Land Show how the wind speeds of “typical” landfalling tropical cyclones decay once over land RUC analyses chosen –Available from NCDC since 2002 –Stay tuned: looking at other analyses for consistency in results

14. 14 Decay over Land—Strong Storms Isabel (2003) & Irene (2011) Isabel (2003) Irene (2011)

15. 15 Decay over Land—Weaker Storms Kyle (2002) Gaston (2004)

16. 16 ADD QUADRANT SLIDE HERE

17. 17 Decay over Land Strong storms show sharp reduction in wind over first 6-24 hours once over land; little change afterwards –Timing of sharpest decrease in winds depends on angle with respect to coastline Weaker storms show little reduction once over land –Sometimes, outer radii actually have slightly higher winds than closer to storm

18. 18 Wind Speed Climatology Numerous past studies have shown surface winds can be best described by a Weibull distribution. The two-parameter Weibull distribution is defined as: where: η = scale parameter, β = shape parameter (or slope), Using the NC State Climate Office CRONOS database, all available wind observations 2000-2010 were obtained Weibull distributions were then fit to the data for each station A spatial analysis was conducted on the data, examining the parameters that define the Weibull distribution

19. 19 Areas of highest elevation and locations near the coastline have the largest shape and scale parameters, indicative of highest mean wind speed values as well as a large spread in the wind speed distributions in these areas. There is a distinct minimum in mean wind speeds as well as the spread in the wind speed distributions for much of Virginia and west-central North Carolina. Topographic influences lead to significantly different mean wind speeds and distributions for areas in the same local region. INSERT LEGEND HERE FOR COLOR SCALES

20. 20 ADD COMPARISON TO WHEN STORM AFFECTING GIVEN AREA HERE

21. 21 Gust Factor Analysis ASOS 1-minute winds acquired for Irene (2011) Gust factor calculated as ratio: (Gust Speed / Sustained Wind Speed) The highest gust factors (>1.4) were observed in areas where the sustained wind speeds were much weaker. This occurred in areas further inland as well as after the storm passage in many areas. Weaker wind speeds were also consistent with higher variability in the gust factors. In areas with strongest sustained wind speeds, gust factor values were much lower, near 1.2, and variability in the gust factors was much lower. Many coastal sites and areas near the mountains did not observe a significant increase in average values and variability in gust factors after the storm passed.

22. 22 The highest gust factors (>1.4) were observed in areas where the sustained wind speeds were much weaker. This occurred in areas further inland as well as after the storm passage in many areas. Weaker wind speeds were also consistent with higher variability in the gust factors. In areas with strongest sustained wind speeds, gust factor values were much lower, near 1.2, and variability in the gust factors was much lower. Many coastal sites and areas near the mountains did not observe a significant increase in average values and variability in gust factors after the storm passed. The highest gust factors (>1.4) were observed in areas where the sustained wind speeds were much weaker. This occurred in areas further inland as well as after the storm passage in many areas. Weaker wind speeds were also consistent with higher variability in the gust factors. In areas with strongest sustained wind speeds, gust factor values were much lower, near 1.2, and variability in the gust factors was much lower. Many coastal sites and areas near the mountains did not observe a significant increase in average values and variability in gust factors after the storm passed. Gust factor analysis currently in the process of being conducted for other storms

23. 23 A Modeling Approach: Where We are Headed High resolution modeling studies are in the process of being conducted for select cases Studies will examine the influence of various thermodynamic and environmental conditions for a given area that alter sustained wind speeds and gusts for a given area The highest gust factors (>1.4) were observed in areas where the sustained wind speeds were much weaker. This occurred in areas further inland as well as after the storm passage in many areas. Weaker wind speeds were also consistent with higher variability in the gust factors. In areas with strongest sustained wind speeds, gust factor values were much lower, near 1.2, and variability in the gust factors was much lower. Many coastal sites and areas near the mountains did not observe a significant increase in average values and variability in gust factors after the storm passed.

24. 24 Base Modeling Case Study: Irene (2011) HWIND ANALYSIS, 8/27/1330 UTC Model Run 7, 8/27/1300 UTC Doppler Radar, Valid at 1300 UTC Simulated Radar, Valid at 1330 UTC

25. 25 Summary A statistical and climatological-based analysis of land reduction and gust factors has been conducted and is being finalized High resolution WRF-LES simulations are beginning Goal is a scientifically-based guidance for land reduction and gust factors for landfalling TCs

26. 26 Output Grid: Land Reduction Factors Ouput Grid: Gust Factors Grid File: Land Use/Terrain Data Basic Storm Information  Strength of Storm  Size of Storm  Angle of storm approach  Storm propagation speed NHC Best Track Data Grid File: Thermodynamic/Environmental Conditions  Static Stability  Boundary layer conditions  ET Transition?  Cold Air Damming? Goal for Final Product

27. 27 Climatology Paper: Where We Stand

28. 28 Climatology Paper Outline Results –Weibull distributions of wind speeds and gusts during times of landfalling TCs vs. climatology Purpose: Show “natural” wind speed distribution for given area and how this changes during time of TC influence Completed: Weibull distributions for climatology Needs to be done: Weibull distributions for times storm affecting the given area

29. 29 Climatology Paper Outline Results –Land decay using RUC analyses for recent storms Purpose: Show how storms decay as storm moves over land Completed: –Comparison of storm vs. weak storms affecting region –Decay for four quadrants of storm Needs to be done –Compare to other analyses, including NARR and/or CFSR data –Extend results for more storms, possibly using other data set

30. 30 Climatology Paper Outline Results –Frequency of missing observations from CRONOS data Purpose: Determine if CRONOS database ok to use for NDFD verification Completed: –General “sense” for frequency of missing observations, based on wind gust analysis and comparison to NDFD data Needs to be Done: –Final statistics on frequency of missing data

31. 31 Climatology Paper Outline Results –NDFD verification for storms (using both CRONOS and HWind Analyses) Purpose: Need to use both for verification (storm outages right near center of storm, HWind analyses only available near time of landfall) Completed: –Bias calculations for all available storms –General sense of bias Needs to be Done: –Create final plots for paper –Normalize relative to wind speed verification?

32. 32 Climatology Paper Outline Results –Spatial gust factor analysis for storms using ASOS data Purpose: Verify gust factors for recent storms affecting the region Completed: –Analysis for Irene (2011) Needs to be Done: –Analysis for other storms –Compare gust factors for various storms, based on storm “general characteristics”