1. Seasonal Hurricane Forecasting and What’s New at NHC for 2009 Eric Blake Hurricane Specialist National Hurricane Center 4/2/2009 Eric Blake Hurricane Specialist National Hurricane Center 4/2/2009 2009 WeatherBug seminar

2. Outline Verification of NHC Forecasts Seasonal Forecasting Brief look at 2009 season What’s New for 2009?

3. National Hurricane Center 2008 Forecast Verification 3

4. 2008 Atlantic Verification VT NT TRACK INT (h) (n mi) (kt) ============================ 000 373 5.7 1.8 012 346 27.7 7.1 024 318 48.3 10.4 036 288 68.6 12.1 048 261 88.2 13.6 072 221 126.9 14.6 096 177 159.8 13.8 120 149 191.8 17.2 Values in green exceed all- time records. * 48 h track error for TS and H only (GPRA goal) was 87.5 n mi, just off last year’s record of 86.2.

5. Atlantic Track Errors by Storm Forecasts for Ike were relatively low, while those for Josephine and Omar were relatively high.

6. Atlantic Track Error Trends Errors have been cut in half over the past 15 years. 2008 was best year ever.

7. Atlantic Track Skill Trends 2008 was the most skillful year on record at all time periods.

8. 2008 Track Guidance Official forecast performance was very close to the consensus models. Best model was ECMWF, which was so good that it as good or better than the consensus. BAMD was similar to the poorest of the 3-D models (UKMET). AEMI excluded due to insufficient availability (less than 67% of the time at 48 or 120 h).

9. 2008 Track Guidance Examine major dynamical models to increase sample size. ECMWF best at all time periods (as opposed to last year, when it was mediocre). GFDL also better than last year (and better than HWRF). As we’ve seen before, GFDL skill declines relatively sharply at days 4-5. NOGAPS and GFNI again performed relatively poorly. GFNI upgrades were delayed.

10. Guidance Trends Return to more “traditional” relationships among the models after the very limited sample of 2007.

11. Guidance Trends Relative performance at 120 h is more variable, although GFSI has been strong every year except 2005. GFDL is not a good performer at the longer ranges.

12. Consensus Models Best consensus model was TVCN, the variable member consensus that includes EMXI. It does not appear that the “correction” process was beneficial.

13. Atlantic Intensity Error Trends No progress with intensity.

14. Atlantic Intensity Skill Trends Little net change in skill over the past several years.

15. 2008 Intensity Guidance Split decision between the dynamical vs statistical models. New ICON consensus, introduced this year, was very successful, beating OFCL except at 12 h. OFCL adds most value over guidance at shorter ranges. Modest high bias in 2008 (2007 was a low bias).

16. 2008 Intensity Guidance When the complication of timing landfall/track dependence is removed, OFCL performs better relative to the guidance. Dynamical models are relatively poor performers.

17. Color indicates probability of tropical cyclone formation within 48 hours. Outlined areas denote current position only. Low Medium High 50% Graphical Tropical Weather Outlooks Graphical Tropical Weather Outlooks

18. 2007-08 Genesis Forecast Verification

19. Summary: Atlantic Track  OFCL track errors set records for accuracy at all time periods. Errors continue their downward trends, skill was also up.  OFCL track forecast skill was very close to that of the consensus models, was beaten by EMXI.  EMXI and GFDL provided best dynamical track guidance. UKMET, which performed well in 2007, did not do so in 2008. NOGAPS lagged again.  HWRF has not quite attained the skill of the GFDL, but is competitive. A combination of the two is better than either alone.  Best consensus model was TVCN (variable consensus with EMXI). Multi-model consensus – good. Single model consensus – not so good. Not a good year for the “corrected consensus” models.

20. Summary: Atlantic Intensity  OFCL errors in 2008 were below the 5-yr means, but the 2008 Decay-SHIFOR errors were also lower than its 5-yr mean, so no real change in skill.  Still no progress with intensity errors; OFCL errors have remained unchanged over the last 20 years. Skill has been relatively flat over the past 5-6 years.  Split decision between the statistical and dynamical guidance. Simple four-model consensus (DSHP/LGEM/HWRF/GHMI) beat everything else, including the corrected consensus model FSSE.

21. Seasonal Forecasting

22. Dr. Bill Gray Colorado State University “Scientists consider seasonal hurricane prediction to be, at best, a GRAY area” (Ed Rappaport, NHC, 1991)

23. Year after El Niño El Niño Years Composite of tropical cyclone tracks during 14 moderate to strong El Niño years versus the next year From Gray 1984

24. El Niño Warming of the equatorial waters in the central and eastern Pacific Ocean A natural phenomenon that occurs every 3 to 5 years Affects global atmospheric circulation patterns by altering thunderstorm development in the deep tropics Generally causes a less active Atlantic hurricane season

25. El Nino La Nina

26. El Niño versus La Niña Hello there it El Niño causes extra thunderstorm development over the central and eastern equatorial Pacific. This causes a response in the atmosphere over the Atlantic basin of increased shear and sinking air, causing a drier and more stable atmosphere. La Niña causes a reduction and westward shift in thunderstorms. This forces the maximum sinking air to be located over the eastern Pacific and allows air to rise more freely over the Atlantic basin, in addition to less shear. Upper winds

27. El Niño

28. La Niña

29. Vertical Wind Shear Tropical cyclones generally require a low vertical wind shear environment to develop, less than about 10-15 mph. Vertical shear displaces energy away from the center of a tropical system and slows development. By monitoring early season vertical shear (June- July), you can gain knowledge about the peak of hurricane season from August-October (when 90% of all major hurricanes strike).

31. 200 mb (~40,000 ft) climatology 850 mb (~5,000 ft) climatology In general, lots of shear in the basin

32. 200mb zonal wind anomalies (m/s) during June-July of 10 ENSO events. El Niño La Niña

33. Sea-Level Pressure Known to influence hurricanes for at least 70 years. Pressure is a proxy for multiple qualities in the atmosphere. Lower pressures are linked to less sinking, which leads to a more moist atmosphere. Higher pressures in the subtropical high linked to stronger winds, and cooler water temperatures through increased upwelling.

34. Stations used in the Gray 1984b Sea Level Pressure Calculation Figure courtesy Phillip Klotzbach

35. Composite map of June-July anomalous surface pressures during 10 active hurricane seasons Lower than normal Higher than normal

36. Pressure isn’t everything!

37. Sea-Surface Temperatures (SSTs) In the Atlantic basin, warmer waters generally mean a more active hurricane season. Higher SSTs lead to more instability in the boundary layer of the atmosphere. Changes in SST gradients modulates regional circulation patterns. Atlantic SSTs also atmospheric proxy. Cooler waters are linked to higher surface pressures, which are related to stronger surface winds. These stronger surface winds tend to upwell more cool water, which reinforces the cycle. Stronger (easterly) surface winds also produce more shear in the atmosphere (due to the mean westerly state of the upper troposphere).

38. J. P. Kossin, 2008 AMS Annual Meeting Direct local relationship between SST and tropical cyclone intensity All other things being equal, an increase of underlying SST will lead to an increase in the maximum intensity that a hurricane can achieve. In a large sample, the mean intensity may also increase, but to a much lesser extent. (Slides on this and the AMM provided by Jim Kossin, UW-CIMSS)

39. J. P. Kossin, 2008 AMS Annual Meeting The Atlantic Meridional Mode: SST, wind, and precip anoms Amplifies via the wind-evaporation-SST (WES) feedback mechanism Strongest signal during the spring, but persists into hurricane season Leading mode of basin- wide ocean-atmosphere interaction between SST and low-level winds

40. J. P. Kossin, 2008 AMS Annual Meeting Comparative effects of the AMM (local) and ENSO (remote) on vertical wind shear in the Atlantic Shear regressed onto AMM and N34 indices, and correlations between the indices and storm activity. units: m/s per standard deviation

41. J. P. Kossin, 2008 AMS Annual Meeting The AMM, SST, shear, and Atlantic tropical cyclogenesis +  genesis point   became a major hurricane at some time

42. Composite map of June-July SST anomalies during 10 active hurricane seasons Warmer than averageColder than average

43. A good measure of seasonal hurricane activity: “Accumulated Cyclone Energy”, or “ACE” ACE is defined as the sum of the squares of the wind speed every six hours for all tropical storms, subtropical storms and hurricanes. Therefore, ACE is maximized for long-lived, intense hurricanes, such as Ivan (2004).

44. Note how the SSTs are closely related to total activity (ACE). SST in the Atlantic alone on a 5 year running mean accounts for over 70% of the variability in ACE.

45. Atlantic Multidecadal Mode (Ocean Temperature) Mestas-Nunez and Enfield (1999)

46. North Atlantic SST Annual Anomaly (50 o N-60 o N; 50 o W-10 o W) 1 0 - 0.5 0.5 1925 1900 19261969 19701994 191019201930194019501960197019801990 1995-04 2006-2020 200020102020

47. Cold AtlanticWarm Atlantic Florida and U.S. East Coast Major Hurricane Strikes 1903-2005

50. Composite: 200, 850 strm, wind Anti- cyclonic anomalies Stronger Tropical Easterly Jet Reduced easterly trades Cyclonic anomalies Inter-hemispheric symmetry of 200-hPa streamfunction anomalies, and Reversal of equatorial zonal wind anomalies. Reflects global-scale patterns linked to anomalous tropical convection.

51. NOAA Forecast Methodology 1)Assess states of the multi-decadal signal, El Niño, and Atlantic SSTs. 2)Use available CPC/CDC forecasts for El Niño/Atlantic SSTs, incorporate any analog techniques and assume persistence of upper- level conditions. 3)Predict range of overall activity and probabilities of above-, near-, and below- average seasons. 4)Qualitative/Quantitative process. 5)No forecast of hurricane landfalls, just the total seasonal activity for the entire basin.

52. Verification of Atlantic Predictions of Named Storms, Hurricanes, and Major Hurricanes May August

54. Current Conditions Mid-April 2006 Mid-April 2007 Early April 2008

55. A Weakening La Niña

56. Climate Forecast System (CFS) –Coupled global model (T62L64) –Integrates for 10 months with 40 ensemble members using initial conditions. –Objective predictions of 200 mb streamfunction, vertical wind shear and SSTs. –Shown to have skill comparable with statistical models in Nino 3.4 SST hindcasts. –Some skill in forecasting year-to-year changes in important parameters that control hurricane variability.

57. March 20: CFS forecasts neutral/warm for ASO 2009

58. CFS Seasonal Forecasts from March 20 SST (coolish Atlantic, El Niño?) Vertical Shear (near average in the deep tropics)

59. Latest Nino 3.4 SST guidance

60. Major 2009 NHC Product Changes Graphical tropical weather outlook (TWO) becomes operationalGraphical tropical weather outlook (TWO) becomes operational –Text TWO to include three-tiered categorical genesis forecast –“Special” TWOs to be issued instead of the Special Tropical Disturbance Statements Probabilistic storm surge graphic becomes operationalProbabilistic storm surge graphic becomes operational Development of storm surge inundation productsDevelopment of storm surge inundation products Tropical cyclone wind field graphic becomes operationalTropical cyclone wind field graphic becomes operational

61. Genesis Bins for 2009 ATLANTIC Range (%)% Expected% Verified# Forecasts 0-20 (Low)96916 30-50 (Med)3734246 60-100 (High)7062108 EASTERN NORTH PACIFIC Range (%)% Expected% Verified# Forecasts 0-20 (Low)1119540 30-50 (Med)3852166 60-100 (High)697963 NHC will issue operational public quantitative/categorical genesis forecasts in 2009 and include categorical forecasts in the text Tropical Weather Outlook.

62. Minor 2009 NHC Product Changes “Repeat” section of Public Advisory will change to a more parsable format“Repeat” section of Public Advisory will change to a more parsable format NHC Monthly Tropical Weather Summaries will be shortened to a tabular summary of cyclones during the month and a short narrative of records of interestNHC Monthly Tropical Weather Summaries will be shortened to a tabular summary of cyclones during the month and a short narrative of records of interest “Z” time will always be referenced as “UTC” in all advisory products“Z” time will always be referenced as “UTC” in all advisory products Time zone referenced in the tropical cyclone discussion (TC) will now be the same time zone that is used in the public advisory (TCP)Time zone referenced in the tropical cyclone discussion (TC) will now be the same time zone that is used in the public advisory (TCP)...SUMMARY OF 1100 PM AST INFORMATION… LOCATION...23.7N 72.2W MAXIMUM WINDS...40 MPH PRESENT MOVEMENT...WEST OR 275 DEGREES AT 8 MPH MINIMUM CENTRAL PRESSURE...1001 MB

63. Recent Additions to NHC Web Graphical tropical weather outlook (TWO) RSS/XML feedGraphical tropical weather outlook (TWO) RSS/XML feed Improved version of website for PDAs and smart phonesImproved version of website for PDAs and smart phones Experimental PODCAST available when NHC media pool activated (usually when Hurricane warning in effect for U.S.)Experimental PODCAST available when NHC media pool activated (usually when Hurricane warning in effect for U.S.) http://www.nhc.noaa.gov/audio/index.shtml http://www.nhc.noaa.gov/audio/index.shtml