A new classification of typhoons over western north pacific

Remote Sensing Science August 2013, Volume 1, Issue 2, PP.21-26

A New Classification of Typhoons over Western North Pacific Jiqing Tan Earth Science Department, Zhejiang University, Hangzhou 310027, P.R. China Email: tanjiqing@126.com

Abstract After the classification of typhoons by Coching Chu has been replaced by Saffir-Simpson Hurricane Scale (SSHS) method in China for about 40 years, forecasters have found SSHS method worked badly in some situations. Some forecasters in USA complained about SSHS worked too badly and claimed to call for new classification method of hurricanes in 2006. Here in this paper, a new classification method of typhoons from the idea of the Coching Chu in 1924 based on the diagnostic results of statistic characteristic of typhoon activity from 1949 to 2009 has been developed. This new classification method works very well and the negative correlated relationship between the annual total numbers of typhoons at two categories (category 1 and category 2), in addition, the positive correlated relationship between the annual total number of sub-categories 3D typhoons and the annual total number of Niño-3.4 SST anomalies have also been found .

Keywords: Typhoon; Saffir-Simpson Hurricane Scale; Classification Method; SST; El Niño

1 INTRODUCTION ―A typhoon‖ is the nickname of a tropical cyclone (TC) over the Western North Pacific (WNP) just as ―a hurricane‖ for a TC over the Atlantic Ocean. Results of the study on the characteristic of the typhoon activity (TA) in a period of time have usually been the evidence to explore the mechanism of the formation of TC (Palmen, 1948; Riehl, 1948, 1950; Sawer, 1947; Syono, 1951; Haque, 1952; Lily, 1960; Charney and Eliassen, 1964: Kuo, 1965; Yanai, 1961; Ooyama, 1969; Pederson and Rasmussen, 1985; Emanuel, 1991). Therefore, the inaccuracy of the method describing TA and classifying TCs would lead to misunderstanding of the true mechanism of the formation of TCs. The earliest classification of typhoons with modern climatological method can be traced back to the classification of typhoons by Coching Chu (1924). Because of the difficulties in being applied to other regions where TCs occur over Atlantic Ocean, India Ocean and South Pacific Ocean, the earliest classification of typhoons by Coching Chu has been replaced by the Saffir–Simpson Hurricane Scale (SSHS) method. After SSHS has been used for more than 40 years, however, many forecasters distrusted the SSHS and called for new classification of hurricanes (www.livescience. com/1521-forecasters-call-hurricane-classification.html). Many experts on typhoons have also criticized the method as being too simplistic. For example, Kantha (2006, 2008) complained that the SSHS is only a valuable tool in warning hurricanes, but the level of surge and surge-related damage is not well correlated with the maximum wind speeds at landfall. Recently, Thomas et al (2010) pointed out that the investigation of TCs and climate change has often been obtained with conflicting results. Therefore, a more accurate quantity reflects TA and a more accurate classification method of TCs are needed at this stage. Here in this paper, a new classification method of typhoons has been developed from the idea of Coching Chu in 1924; by introducing a more accurate diagnostic quantity to reflect TA.

2 DATA AND METHODS 2.1 Data The data used in this paper is best-track data of TCs (positions and intensity) (see: http://www.jma.go.jp/jma/jma- 21 http://www.ivypub.org/RSS/

eng/jma-center/rsmc-hp-pub-eg/besttrack. html)

2.2 The Method to characterize “Typhoon Activity”

FIG. 1 ANNUAL OCCURRENCES OF TYPHOONS OVER WESTERN NORTH PACIFIC FROM 1949 TO 2008

Traditional way of diagnostic analysis of annual TA is to use the annual total numbers of typhoons over the WNP (see Figure 1). From this figure, the activity of typhoons in the first periods from 1949 to 1978 is considered to be stronger than the periods from 1979 to 2008. From Figure 1, it could be seen that the year of 2005 is one of the weakest years for TA. However, 2005 is considered to be one of the strongest years of TA because some very stronger landing typhoons, such as Matsa, Longwan and Haitang typhoons occurred in 2005. Therefore, the annual total numbers of typhoons cannot be a good diagnostic quantity to reflect the strength of the TA in a year. Tan Jiqing et al (2011) put forward a new diagnostic quantity, called ―Most Direct Impact Area‖ (MDIA) to reflect the TA in a year. MDIA of typhoons is better because MDIA can reveal the characteristic of geographic distribution of TCs. The method to calculate MDIA can also be seen in the literature (Tan et al, 2011). Here, we show the results of the geographic distribution of MDIA of two periods. Figure 2 is the geographic distribution of MDIA of the periods from 1949 to 1978 and Figure 3 is the geographic distribution of MDIA of the periods from 1979 to 2008.

Comparing figure 2 with figure 3, we draw the conclusion that typhoon activities in the period from 1979 to 2008 is much stronger than those in the period from 1949 to 1978.

FIG. 2 The geographic Distribution of MDIA (1949-1978)

FIG. 2 The geographic Distribution of MDIA (1979-2008)

2.3 New Method to Classify Typhoons Figure 4 is the geographic distribution of MDIA in 61 years over the Northwest Pacific Ocean calculated based on - 22 http://www.ivypub.org/RSS/

the track data of all the tropical cyclones from 1949 to 2009. From figure 4, we can clearly see that five MDIA centres: the first is located in the region east of Japan islands, the second is located in the region south of Japan islands, the third is located in the region east of the Philippines islands, the fourth is located in the region over China sea and the fifth is located in the region east of Taiwan.

FIG. 4 THE GEOGRAPHIC DISTRIBUTION OF MDIA IN 61 YEARS (1949-2009)

From figure 4, it can also be seen that the geographic distribution of MDIA in 61 years is shaped as "L", which is the result for typhoons moving along the atmospheric environment background wind field of the western Pacific subtropical high. Thus, we define two baselines are defined: one is a parallel to the coastline of China Mainland from the point A (170 W, 60 N) to the point B (120 E, 20 N), the other straight line begin at point C (180 E, 10 S) and cross point B. Therefore, geographic distribution of MDIA in 61 years can be divided into four regions (see Figure 4).

According to the idea of the typhoon classification by Coching Chu, that is to identify different categories of typhoons based on the beginning points and dead points of tropical cyclones, we define four major categories of typhoons are defined. The method in detail lists below: 1) Typhoons are divided into four categories according to the locations of the dead points for typhoons. For example, category 1 typhoons mean that the locations of the dead points for typhoons are in region 1, and so on.

2) Sub-categories of the same category are divided into A,B,C and D sub-categories according to the locations of the beginning point for a typhoon. For example, 1A typhoon means that both the locations of dead point of a typhoon and beginning point of a typhoon are at region 1. 1B typhoon means that the location of dead point of a typhoon is at region 1, but the location of the beginning point of a typhoon is at region 2, and so on.

3 RESULTS 3.1 Statistic results for different categories and sub-categories TABLE 1 STATISTICAL RESULT FOR DIFFERENT CATEGORIES AND SUB-CATEGORIES OF TYPHOONS IN 61 YEARS A

B

C

D

Category 1

55

29

110

377

Total

Category 2

9

79

299

122

509

Category 3

0

1

144

69

214

Category 4

9

11

117

666

803

571

From table 1, we could obtain following viewpoints: A) Most of typhoons belong to 4D typhoons, which begin in region 4 and end in region 4.They take 82.9% of category 4 and 31.8% of all typhoons in 61 years. Therefore, the annual trend of this sub-category is very important - 23 http://www.ivypub.org/RSS/

for us to judge the trend of climate change over tropic region.

B) The numbers of 2A, 3A ,4A ,1B,3B and 4B typhoons are very small, which meaning that rare typhoons begin in offshore, and end in No:2 ,No:3 and NO;4 region. Study on those typhoons beginning at offshore is valuable for us to understanding special behaviour of typhoons.

C) Because of the background wind of sub-tropical High over northwest Pacific Ocean, most typhoons begin over No.3 and No.4 regions. Therefore, 1C, 1D, 2C, 2D, 3C and 3D typhoons should be concerned more than other subcategory typhoons, which take about 53% of all the typhoons in 61 years.

3.2 The Geographic Distribution of MDIA in 61 Years for Different Categories

(a)

(b)

(c)

(d)

FIG. 5 THE GEOGRAPHIC DISTRIBUTION OF MDIA OF FOUR CATEGORIES IN 61 YEARS (1949-2009) From Fig. 5a to Fig. 5d, we could see that typhoons of different categories have different MDIA, which show the different active regions: Over Japan and Mainland China are affected by typhoons at categories 1 (see figure fig.5a).

Over Southwest of China and Northern part of China Sea are affected by typhoons at categories 2 (see fig.5b). Over the Philippines islands and the middle of China Sea are affected by typhoons at categories 3 (see fig. 5c). Most of typhoons at category 4 affect over the Northwest part of the Pacific Ocean (see fig.5d).

3.2 The statistic annual total numbers for different categories Figure 6 is the annual variation of occurrence of typhoons in different categories in the period from 1949 to 2009.

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From this figure, it can be seen that the annual total numbers of typhoons in category 1 and 2 are valley values during the ten El Niño years (1951, 1957, 1963, 1965, 1969, 1977, 1983, 1987 and 1993).

FIG. 6 THE GEOGRAPHIC DISTRIBUTION OF MDIA IN 61 YEARS (1949-2009)

3.4 The relationship between typhoons activity and El Niño In order to investigate the relationship between typhoons activity and El Niño, we have calculated the coefficients between the annual total of Niño3.4 index and the annual total number of all typhoons in different sub-categories, (see table 2).

TABLE 2 THE CORRELATION COEFFICIENTS BETWEEN THE ANNUAL OCCURRENCES OF TYPHOONS AND ANNUAL TOTAL SUM OF NIÑO 3.4 INDEX FROM 1949 TO 2009 

B

C

D

Total

-0.312

-0.389

Category 1

-0.277

—

-0.175

Category 2

—

-0.217

-0.217

—

Category 3

—

—

-0.215

0.256

—

Category 4

—

—

—

—

-0.243

-0.264

* Only those correlations are significant at 99% confidence level are marked in Table.

From Table 2, it can be seen that the correlation coefficients between the annual total of Niño3.4 index and the total annual numbers of category 1 and 2 between El Niño are negative, so do the correlation coefficients between the annual total of Niño3.4 index and most of sub-categories. Only the correlation coefficients between the annual total of El Niño3.4 index and 3D are positive.

4 RESULTS The old classification of typhoons by Coching Chu had been replaced by Saffir-Simpson hurricane scale in 1971 because the latter can be easily applied for tropical cyclones over all the regions while the former can be used only over WNP. However, with more and more defects of SSHS have been found, it is time to re-consideration of the old classification of typhoons by Coching Chu. Because there are too many qualitative standards for categories in the classification by Coching Chu, a new quantitative standard for categories and sub-categories has been developed.

Results of statistic analysis on all the track data of typhoons from 1949 to 2009 show that the classification of typhoons works well and the relationship between typhoons and El Niño have been found. In near future, we would apply this classification on identifying the tropical cyclones over Atlantic Ocean, India Ocean and South Pacific Ocean.

ACKNOWLEDGMENT This paper is supported by Natural Science Foundation of China. The project granted number is 40875091.

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[2]

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[4]

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[10] Yanai, M. ―A detail analysis of typhoon formation‖. J. Meteor. Soc. Japan, 39(1961): 187-213 [11] Ooyama, K., ―Numerical simulation of the life cycle of tropical cyclones‖. J. Atmos.Sci.,26(1969): 3-40 [12] Pederson, T.S and E. Rasmussen, ―On the cut-off problem in linear cisk models‖. Tellus.37A(1985): 394-402 [13] Emanuel, K, ―The finite-amplitude nature of tropical cyclogensis‖. J. Atmos. Sci., 46(1991): 3431-3456 [14] Chu, C.C. ―A new classification of typhoons of the Far East. Monthly Weather Review‖. 52(1924): 136-139 [15] Chu, C.C. ―The place of origin and recurvature of typhoons‖. Monthly Weather Review, 53(1925): 1-5 [16] Kantha, L. ―Time to Replace the Saffir–Simpson Hurricane Scale?‖ Eos 87(2006): 3-6 [17] Kantha, L. ―Tropical Cyclone Destructive Potential by Integrated Kinetic Energy‖. Bulletin of the American Meteorological Society, 89(2008): 219-221.

[18] Thomas R. and Coauthors. ―Tropical Cyclones and Climate Change‖. Nature Geosciences, 3(2010): 157-163 [19] Tan J.Q, H.Q. Li and Z.X. Zheng, ―New Climate Diagnostic Method of Activity of Typhoons over the Northwestern Pacific Ocean Applied Mechanics and Materials‖. 71-78(2011): 3118- 3122

AUTHOR Jiqing

Tan,

Associate

Professor

of

NMC, CMA as an associate meteorologist from 1996 to 2000.

Zhejiang University. 1980-1984, BS of

During the period from 200 to 2002, he worked as a

Zhongshan University, Guangzhou, China;

meteorologist in MRI, JMA in Japan. Since 2002, he has been an

1989-1993, PhD in Inst. of Atmospheric

associate professor in the Earth Science Department, Zhejiang

Physics, Chinese Academia of Science,

University. He has published about 40 papers which cover at

Beijing, China. Research fields: Dynamics

least four directions in the fields of atmospheric sciences as the

of Meteorology; Environment Meteorology;

first paragraph of this resume indicates.

Synoptic meteorology; Climatology. He once worked in Peking University as a postdoctoral researcher from 1993-1995 and worked as a lecture in the department of geophysics department of Peking University from 1995 to 1996. Later he worked in

He has also been the chairman of three projects supported by National Natural Science Foundation of China, the granted numbers are: (40345025; 40475043&40875091)

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