Summary of 2006 NW Pacific Typhoon Season and Verification of Authors Seasonal Forecasts

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Summary of 2006 NW Pacific Typhoon Season and Verification of Authors Seasonal Forecasts Issued: 10th January 2007 by Professor Mark Saunders and Dr Adam Lea Benfield UCL Hazard Research Centre, UCL (University College London), UK. Summary A year with near-average activity as defined by the basin ACE (Accumulated Cyclone Energy) index but where the numbers of intense typhoons were in the upper tercile and the number of tropical storms were in the lower tercile. The TSR probabilistic forecasts with the exception of the early July forecast all correctly predicted the near-average ACE index activity. The TSR deterministic forecasts performed well for the ACE index but over-predicted the number of tropical storms and typhoons. The Tropical Storm Risk (TSR) consortium presents a validation of their seasonal probabilistic and deterministic forecasts for the NW Pacific basin ACE index, and deterministic forecasts for the numbers of intense typhoons, typhoons and tropical storms in 2006. These forecasts were issued monthly from 7th March 2006 to the 4th August 2006 for the 2006 NW Pacific typhoon season which ran from 1st January to 31st December 2006. Features of the 2006 NW Pacific Season The 2006 NW Pacific season featured 24 tropical storms, 15 typhoons, 11 intense typhoons and an ACE index of 317 x10 4 knots 2. Damage from typhoons was higher in 2006 than in 2005. The total economic and insured losses are estimated to be US$ 15bn and US$ 1.5bn respectively (Munich Re, 2006). The most costly storm was typhoon Shanshan which struck west Japan in mid September causing total and insured losses of US$ 2.5bn and US$ 1.2bn respectively. Typhoon Saomai was the most powerful typhoon to make landfall in mainland China for over 50 years with 1 minute sustained winds of 115kts. Saomai was responsible for over 400 deaths and a total damage bill of US $1.4 bn. The Phillippines were struck by six typhoons - Chanchu, Xangsane, Cimaron, Chebi, Durian and Utor. This is the highest number of typhoon strikes on the Phillippines since 1974. Together they killed over a thousand people, with Durian responsible for at least 800 deaths. After striking the Phillippines typhoon Durian crossed the South China Sea and made landfall in Vietnam killing at least 80 people. Hurricane/typhoon Ioke s ACE index was 82. This broke the record (set by hurricane Ivan in 2004) for the highest recorded ACE index by an individual storm anywhere in the world. The ratio of numbers of intense typhoons to numbers of typhoons in 2006 - at 0.73 - was the highest since 1970. 1

Tropical Storm Catalogue 2006 NW Pacific Individual Storm Summary 2006 No. Name Dates Peak wind (kts) x Typhoon category Landfall country and storm category at landfall* 1 01W 04-07 Mar 35 - - 2 Chanchu 08-18 May 135 4 Phillippines (2), China (1) 3 Jelawat 26-29 Jun 45 - - 4 Ewiniar 29 Jun-10 Jul 130 4 South Korea (TS) 5 Bilis 09-14 Jul 55 - Taiwan (TS), China (TS) 6 06W 18-19 Jul 35 - - 7 Kaemi 22-25 Jul 85 2 Taiwan (1) 8 Prapiroon 31 Jul-03 Aug 70 1 China (1) 9 Saomai 04-10 Aug 140 5 China (4) 10 Maria 05-09 Aug 65 1-11 Bopha 06-10 Aug 50 - Taiwan (TS) 12 Wukong 12-19 Aug 50 - Japan + (TS) 13 Sonamu 13-16 Aug 45 - - 14 Ioke 19 Aug-05 Sep 140 5-15 Shanshan 10-17 Sep 120 4 Japan + (1) 16 Yagi 17-24 Sep 140 5-17 Xangsane 25-30 Sep 125 4 Phillippines (4) 18 Bebinca 01-06 Oct 45 - - 19 Rumbia 04-06 Oct 45 - - 20 Soulik 09-15 Oct 90 2-21 Cimaron 27 Oct-04 Nov 140 5 Phillippines (5) 22 Chebi 09-14 Nov 115 4 Phillippines (3) 23 Durian 26 Nov-05 Dec 135 4 Phillippines (4), Vietnam (1) 24 Utor 07-14 Dec 100 3 Phillippines (3) * Landfall is defined as the intersection of the surface centre of a tropical storm with a coastline. + Mainland only. x 1-min sustained winds. TS = Tropical storm, 1-5 = Saffir-Simpson hurricane scale. The tropical storm names and peak 1-minute sustained windspeeds are obtained from the following sources: Joint Typhoon Warning Center best track data, Gary Padgett s monthly global tropical cyclone summaries issued through the tropical storms mailing list at tropicalstorms@tstorms.org, Julian Heming s Met Office Tropical Cyclone Website (http:// www.metoffice.gov.uk/weather/tropicalcyclone/observations.html) and the City University of Hong Kong (http://weather.cityu.edu.uk/). 2

Verification of Forecasts NW Pacific ACE Index and System Numbers a) Deterministic forecasts NW Pacific ACE Index and System Numbers in 2006 ACE Index (x10 4 knots 2 ) Intense Typhoons Typhoons Tropical Storms Average Number (±SD) (1965-2005) 305 (±98) 8.6 (±3.0) 16.9 (±3.6) 26.7 (±4.4) Actual Number 2006 317 11 15 24 4 Aug 2006 325 (±77) 9.3 (±2.5) 18.6 (±2.9) 29.0 (±3.7) TSR Forecasts (±SD) Chan Forecasts 5 July 2006 349 (±82) 10.0 (±2.4) 18.6 (±2.9) 29.0 (±3.7) 7 June 2006 315 (±84) 9.0 (±2.6) 18.6 (±2.9) 29.0 (±3.7) 5 May 2006 326 (±80) 9.3 (±2.6) 18.6 (±2.9) 29.0 (±3.7) 7 Mar 2006 298 (±92) 8.4 (±2.7) 17.1 (±3.3) 27.1 (±4.0) 23 June 2006 - - 18 28 24 April 2006 - - 17 27 b) Probabilistic forecasts NW Pacific ACE Index 2006 Tercile Probabilities below normal normal above normal Actual 2006 0 100 0 1 Climatology 1965-2005 33.3 33.3 33.3 0 TSR Forecasts RPSS 4 Aug 2006 14 52 34 0.452 5 July 2006 10 44 46 0.077 7 June 2006 19 50 31 0.427 5 May 2006 15 50 35 0.408 7 Mar 2006 26 47 27 0.368 For the second consecutive year the NW Pacific ACE Index was close to the long term climate norm (1965-2005 climatology). All the TSR forecasts except early July accuratly predicted the ACE index. Tropical storm and typhoon numbers were overpredicted, however, these numbers were unusually low this year given that the ACE index was near-average. Intense typhoon numbers were underpredicted at all leads. The June forecast performed best for the ACE index while the July forecast performed best for intense typhoon numbers. All the probabilistic forecasts showed skill with the August forecast having the highest skill. Chan s predictions for tropical storm and typhoon numbers in 2006 were slightly better than TSR s, although Chan also overpredicted. Further details on the Chan forecasts and their verification may be obtained from http://weather.cityu.edu.hk/tc_forecast/ 3

Environmental Factors in 2006 The principle underlying sound seasonal typhoon predictions is to forecast the key environmental conditions at the height of the NW Pacific typhoon season. TSR finds that the most important contemporaneous factor influencing the overall activity of the NW Pacific typhoon season is the August-September (AS) Niño 3.75 SST [region 180 o -140 o W, 5 o S-5 o N]. This predictor influences cyclonic vorticity (the spinning up of storms) in the main typhoon formation region. The Table below verifies our forecasts in 2006 for this predictor. Predictor Forecasts 2006 AS Niño 3.75 SST ( o C) Actual Value 2006 (1965-2005 Anomaly) 0.58 TSR Forecasts (±FE) 4 Aug 2006 0.24 (±0.20) 5 July 2006 0.50 (±0.30) 7 June 2006 0.13 (±0.43) 5 May 2006 0.25 (±0.46) All the TSR forecasts underpredicted the magnitude of the AS Niño 3.75 anomaly. The NW Pacific ACE index, however, was unusually low for such a high Niño 3.75 anomaly and thus the NW Pacific ACE index forecasts performed well overall. The July forecast proved best overall. Definitions Rank Probability Skill Score The probabilistic skill measure employed is the rank probability skill score (RPSS) (Epstein 1969; Wilks 1995; Goddard et al 2003). Computation of RPSS begins with the rank probability score (RPS) which is defined as: where N cat = 3 for tercile forecasts. The vector CP Fm represents the cumulative probability of the forecast up to category m, and CP Om is the cumulative observed probability up to category m. The probability distribution of the observation is 100% for the category that was observed and is zero for the other two categories. For a perfect forecast RPS = 0. The RPS is referenced to climatology to give the RPSS which is defined as: RPSS = 1 RPS fcst RPS ref where RPS fcst is the RPS of the forecast and RPS ref (=RPS cl ) is the RPS of the climatology forecast. The maximum RPSS is 1; a negative RPSS indicates skill worse than climatology. Total ACE Index = Accumulated Cyclone Energy Index = Sum of the squares of 6-hourly 4

Intense Typhoon Typhoon Tropical Storm SD Terciles maximum sustained wind speeds (in units of knots) for all systems while they are at least tropical storm strength. ACE Unit = x10 4 knots 2. = 1 minute sustained winds > 95kts (110mph). = 1 minute sustained winds > 63kts (73mph). = 1 minute sustained winds > 33kts (38mph). = Standard Deviation. = Data groupings of equal (33.3%) probability corresponding to the upper, middle and lower one-third of values historically (1965-2005). Forecasts for 2007 The TSR extended range forecast for the 2007 NW Pacific typhoon season will be issued in early March 2007 followed by monthly forecast updates through to early August. Forecasts will be deterministic and probabilistic. References Epstein, E.S., 1969: A scoring system for probability forecasts of ranked categories. J. Appl. Meteor, 8, 985-987. Goddard, L., A. G. Barnston and S. J. Mason, 2003: Evaluation of the IRI s net assessment seasonal climate forecasts. Bull. Amer. Meteor. Soc., 84, 1761-1781. Wilks, D., 1995: Statistical Methods in the Atmospheric Sciences. Academic Press, 467pp. Tropical Storm Risk.com (TSR) Founded in 2000, Tropical Storm Risk (TSR) offers a leading resource for forecasting the risk from tropical storms worldwide. The venture provides innovative forecast products to increase risk awareness and to help decision making within the (re)insurance industry, other business sectors, government and society. The TSR consortium is co-sponsored by Benfield, the world s leading independent reinsurance and risk intermediary, Royal & Sun Alliance, the global insurance group, and Crawford & Company, a global claims management solutions company. The TSR scientific grouping brings together climate physicists, meteorologists and statisticians at University College London and the Met Office. Tropical Storm Risk has won two major insurance industry awards during the past three years. In 2006 TSR was awarded the prestigious Risk Management Award at the British Insurance Awards, and in 2004 won the British Insurance Award for London Market Innovation of the Year. Acknowledgements We thank David Simmons (Benfield), Alan Fowler (Royal & SunAlliance) and Jonathan Clark (Crawford & Company) for industrial liaison. We acknowledge web-site assistance by Peter Yuen (UCL). 5