Size and Strength of Tropical Cyclones as Inferred from QuikSCAT Data
|
|
- Melvin Bartholomew Wheeler
- 6 years ago
- Views:
Transcription
1 MARCH 2012 C H A N A N D C H A N 811 Size and Strength of Tropical Cyclones as Inferred from QuikSCAT Data KELVIN T. F. CHAN AND JOHNNY C. L. CHAN School of Energy and Environment, City University of Hong Kong, Hong Kong, China (Manuscript received 21 November 2010, in final form 28 October 2011) ABSTRACT A comprehensive statistical climatology of the size and strength of the tropical cyclones (TCs) occurring over the western North Pacific (WNP; including the South China Sea) and the North Atlantic (NA; including the Gulf of Mexico and the Caribbean Sea) between 1999 and 2009 is constructed based on Quick Scatterometer (QuikSCAT) data. The size and strength of a TC are defined, respectively, as the azimuthally averaged radius of 17 m s 21 of ocean-surface winds (R17) and the azimuthally averaged tangential wind within latitude radius from the TC center (outer-core wind strength, OCS). The mean TC size and strength are found to be latitude and 19.6 m s 21, respectively, in the WNP, and latitude and 18.7 m s 21 in the NA. While the correlation between size and strength is strong (r 0.9), that between intensity and either size or strength is weak. Seasonally, midsummer (July) and late-season (October) TCs are significantly larger in the WNP, while the mean size is largest in September in the NA. The percentage frequency of TCs having large size or high strength is also found to vary spatially and seasonally. In addition, the interannual variation of TC size and strength in the WNP correlate significantly with the TC lifetimes and the effect of El Niño over the WNP. TC lifetime and seasonal subtropical ridge activities are shown to be potential factors that affect TC size and strength. 1. Introduction In all operational tropical cyclone (TC) forecasts, the intensity, expressed as either the maximum sustained winds (MSWs) or the minimum sea level pressure (MSLP), and the track of the TC are always predicted to provide estimates of the potential wind destruction near the TC center. Because of their importance in forecasting, many researchers and forecasters in the past have tried to identify the physical processes responsible for TC intensity and track changes (see, e.g., Chan and Kepert 2010). However, with the dynamic structure of a TC resembling that of a Rankine vortex, the MSW or MSLP alone cannot provide a unique description of the TC structure. Outside the radius of maximum wind (RMW), the rate of decrease in tangential winds with increasing radius can vary with time in different TCs. Two more parameters size and strength have therefore been proposed to give a more complete description of the dynamical structure of a TC (Merrill 1984). Corresponding author address: Prof. Johnny Chan, School of Energy and Environment, City University of Hong Kong, Tat Chee Ave., Kowloon, Hong Kong, China. johnny.chan@cityu.edu.hk The average radius of the outermost-closed isobar (ROCI) and that of 15 or 17 m s 21 of surface winds (R15 or R17, respectively) are two common definitions of TC size. Frank and Gray (1980) composited rawinsonde data around TCs and found that R15 has a large variation but bears little relationship with MSW. Merrill (1984) found that ROCI varies seasonally and regionally and is again only weakly correlated with TC intensity. Merrill (1984) defined TC strength as the average wind speed in the cyclonic circulation (e.g., the region from RMW to the radius of gale-force wind). Weatherford and Gray (1988a,b) further defined the mean tangential wind velocity within a latitude radius from the center of the TC as the outer-core wind strength (OCS). They used aircraft reconnaissance data to estimate OCS and found that TCs with similar MSWs can have very different values of OCS. Due to the scarcity of data over the open oceans, very few studies on these two parameters were made prior to the availability of satellite-derived winds. Liu and Chan (1999) studied TC size over the western North Pacific (WNP) and the North Atlantic (NA) using satellitederived ocean-surface winds from the European Research Satellites-1 and -2 (ERS-1 and -2), and obtained DOI: /MWR-D Ó 2012 American Meteorological Society
2 812 M O N T H L Y W E A T H E R R E V I E W VOLUME 140 results similar to those of Merrill (1984). The wider swath and higher horizontal resolution availability of Quick Scatterometer (QuikSCAT) satellite-derived winds allowed Chan and Yip (2003) to conduct a preliminary investigation (4 yr of data, ) on the interannual variations of TC size. They found that TC size tends to be larger during El Niño years because of their formation locations. Chavas and Emanuel (2010) used QuikSCAT data ( ) to examine further the global climatology of TC size, which is defined as the radius of vanishing winds. In terms of TC size maintenance, Lee et al. (2010) found that TCs that intensified to typhoon intensity during their lifetimes tend to stay in the same size (defined as R15) category during intensification over the WNP based on QuikSCAT data ( ). With the accumulation of ocean-surface wind data from QuikSCAT (until its demise in 2009), a much larger sample of TCs can be extracted. A more comprehensive climatology of TC size and the strength of TCs over the WNP (including the South China Sea) and the NA (including the Caribbean Sea and the Gulf of Mexico) can therefore be made, which is the main objective of this study. As will be seen in section 3, after the quality check of the QuikSCAT data and based on the similar TC size definition (R15 or R17), the sample size in this study for both the WNP and NA is the largest compared with all previous studies based on the remote sensing techniques so that the climatology obtained should be much more robust. Following most previous studies, R17 is chosen to be the definition of TC size in this study. Although Chavas and Emanuel (2010) also examined the QuikSCAT data, their definition of TC size makes comparisons with previous studies difficult. Further, with 11 yr of data, it is possible to have a more robust examination of the interannual variation of TC size and its relation with El Niño. In addition, by comparing with the results from previous studies (Merrill 1984; Liu and Chan 1999; Kimball and Mulekar 2004; Yuan et al. 2007; Lee et al. 2010), it is possible to have some estimate of the possible interdecadal variations in TC size. The definition of TC strength follows that of Weatherford and Gray (1988a,b), that is, the OCS. Strength is examined in this study because it can possibly provide us with an additional important measure (other than intensity and size) of how the outer-core winds are distributed. It should also be pointed out that a thorough search through the literature yields only the Weatherford and Gray (1988a,b) study as having its focus on TC strength. This study should therefore provide some additional insights into how important or useful TC strength is in describing the dynamical structure of a TC, and how size and strength are related. Section 2 describes the datasets used in this study. The methods of data selection, definitions of the parameters, and classification of TCs are presented in section 3. Section 4 presents the relation between size and strength while section 5 discusses the climatologies and the comparisons of size in different aspects between the two basins. Finally, section 6 concludes with a summary and a discussion. 2. Data a. Scatterometer data The SeaWinds microwave scatterometer was launched on the QuickBird satellite in June 1999 and its mission ended in November Hereafter, this entire set of instruments is referred to as QuikSCAT. QuikSCAT transmitted microwave pulses (a continuous swath of 1800 km) down to the earth s surface and then received the backscattered power that is related to surface roughness, which is highly correlated with the near-surface wind speed and direction on water surfaces. Hence, both wind speed and direction at the height of 10 m over the ocean surface can be estimated. In this study, the postprocessed latitude 3 longitude gridded QuikSCAT data from the Remote Sensing Systems (RSS) database are used. These data are produced by RSS and sponsored by the National Aeronautics and Space Administration Ocean Vector Winds Science Team. Data are available online ( com). RSS postprocessed the QuikSCAT L2A data from the Jet Propulsion Laboratory, which reprocessed the data in 2006 using the Ku-2001 geophysical model function and passed them through quality checks by comparing with the first-guess field of a numerical weather prediction (NWP) model so that the data are largely acceptable. Rain-free QuikSCAT winds below 20 m s 21 agree extremely well with the buoy results (Ebuchi et al. 2002). Using extremely limited validation data, those from 20 to 40 m s 21 are roughly verified to be within 10 m s 21 under rain-free conditions. It is well known that rain affects QuikSCAT and results in overestimated low winds or underestimated high winds when heavy rain is present. In TCs with winds weaker than 15 m s 21,the QuikSCAT winds in the presence of rain are often overestimated due to surface roughening and signal scattering. QuikSCAT winds within TCs above m s 21 are often lower than actual storm speeds as the rain attenuates the radar signal (Atlas et al. 2001; Stiles and Yueh 2002; Brennan et al. 2009). Data selection is therefore important and will be discussed in detail in section 3. The data between July 1999 and November 2009 from the QuikSCAT satellite are the main data for defining the size and strength of TCs over the WNP and the NA.
3 MARCH 2012 C H A N A N D C H A N 813 Details of the definitions of these parameters will be given in sections 3c and 3d. b. Best-track datasets The6-hourlybest-trackdata(includingTCcenter position, MSW, MSLP, ROCI, and lifetime) of TCs with at least tropical storm intensity between July 1999 and November 2009 over the WNP and the NA are extracted and evaluated from the Joint Typhoon Warning Center (JTWC) and the National Hurricane Center (NHC) web sites ( and nhc.noaa.gov, respectively). MSWs provided in these best-track datasets will be mainly used as the TC intensity in this study. c. GEOS-5 data Because not all the ROCIs from the JTWC and the NHC are available within the study period, and the methods of defining the ROCI between them are different (see Fig. 6), sea level pressure (SLP) data from the Goddard Earth Observing System Model version 5 (GEOS-5) database ( dods/mat1nxslv.info) around TCs with at least tropical storm intensity are extracted to estimate the ROCI over the WNP and the NA. GEOS-5 is a system of models integrated using the Earth System Modeling Framework. The latitude, longitude, and time resolutions of this dataset are 0.58 in latitude, in longitude, and hourly, respectively. The method of defining ROCI from GEOS-5 data will be presented in section 3e. It is emphasized that the GEOS-5 ROCIs are used to provide additional reference but are not used to define TC size in this study. d. NCEP NCAR reanalysis data Climatology of the midlevel (500 hpa) synoptic flow is generated from the 6-hourly National Centers for Environmental Prediction National Center for Atmospheric Research (NCEP NCAR) reanalysis data (Kalnay et al. 1996) with 2.58 latitude longitude global grid resolutions that contain meteorological parameters such as zonal and meridional winds on 17 pressure levels. These resolutions should be adequate for studying large-scale synoptic systems such as the subtropical ridge. e. ENSO index The El Niño Southern Oscillation (ENSO) indices from the National Oceanic and Atmospheric Administration s (NOAA) Climate Prediction Center Web site ( monitoring/ensostuff/ensoyears.shtml) are used to investigate further the relationship between ENSO and the interannual variations of size and strength. The 3-month running-average sea surface temperature (SST) anomalies in the Niño-3.4 region (58N 58S, W), with as the base climatology, are used as ENSO indices in this study. 3. Methodology a. Criteria for the selection of QuikSCAT data As QuikSCAT is a polar-orbiting satellite, its swath might not cover the entire circulation of a particular TC at a particular time. In addition, in order to minimize noise and uncertainty, only data satisfying all of the following criteria are used: (i) TC must be at tropical storm (TS) intensity or above (MSW $ 17 m s 21 ), (ii) the TC center must be covered by the swath, (iii) the distance between the TC center and the edge of the swaths must be.18 latitude, (iv) more than 50% of the TC circulation is covered by the swath, (v) the TC circulation should have no extensive winddiscontinuity problem, (vi) azimuthally averaged wind speed profiles must reach 17 m s 21 or above after filtering all rainflagged data (see section 3c), (vii) R17 is not close to any landmass, and (viii) rain-flagged data are excluded. After passing this strict quality check, the sample size of this study is the largest among all of the previous studies based on remote sensing techniques and similar TC size definitions (R15 or R17). While some of these criteria might be somewhat subjective, such an approach minimizes the potential for large errors in the estimations of size and strength. b. Estimation of TC center Because rain-flagged data are found most of the time and some TCs were only partly covered by the swath, estimating the TC center position by calculating the maximum relative vorticity can be difficult at times. Therefore, for simplicity, the TC center is estimated by the linear interpolation method using the best-track data according to the time at which the QuikSCAT swath was over the TC. The case is eliminated (,1% in total) if the interpolated TC center is found to deviate from the QuikSCAT TC center by.18 latitude. Although the center estimated in this way may not be consistent with the wind data, such a deviation should be considered acceptable. c. Estimation of TC size In this study, the size of a TC is defined as the average radial extent of gale-force surface winds (17 m s 21 ;R17),
4 814 M O N T H L Y W E A T H E R R E V I E W VOLUME 140 similar to the method of Chan and Yip (2003). Azimuthally averaged winds between and latitude from the center at intervals of latitude are obtained by averaging the winds within each latitude-wide ring belt ( # r, latitude radial area for the first ring belt). The intent behind using an azimuthal average is in the removal of most of the asymmetry associated with TC motion (Shea and Gray 1973). To make sure that a reasonable value of the azimuthally averaged wind in each ring belt can be obtained, the following criteria are also set. A missing value is set for any case failing any of the following criteria: (i) The number of available (not rain flagged) data points in each ring belt must be.5 without considering the wind directions. (ii) The fraction of available data points to total data points in each ring belt must be $0.5. It is assumed that a TC behaves like a Rankine vortex outside the maximum winds; that is, y u (r) 5 Cr 2b, (1) where y u is the tangential wind speed, r is the radial distance from the TC center, and C and b are constants for a given profile. As the values of the tangential winds and total winds are similar, especially at radii far away from the radius of maximum winds (Shea and Gray 1973), the total winds are assumed to be the same as the tangential winds. Six valid azimuthally averaged winds with wind speeds closest to 17 m s 21 are then used to fit the vortex profile in (1) after taking the logarithm. The choice of six values (;1.58 latitude) is considered to be adequate and reasonable to estimate R17. It should also be noted that the value of R17 from (1) is only considered to be acceptable if the innermost valid azimuthally averaged wind is $17 m s 21.Inotherwords,noextrapolation of TC size is allowed. d. Estimation of TC strength As RMW is nearly always,18 latitude from the TC center and rain generally affects the quality and availability of QuikSCAT data near the eyewall of TCs (also likely,18 latitude from the TC center), estimating TC strength by averaging wind speed between RMW and R17 (Merrill 1984) may not be appropriate. Instead, the definition of strength in this study follows that proposed by Weatherford and Gray (1988a,b), that is, the OCS, which is the mean tangential surface wind velocity within latitude radius from the TC center. Such a definition of strength basically removes much of the rain contamination of QuikSCAT data. Using the same definition also allows for a direct comparison of the results between TABLE 1. Statistical attributes of TC size and strength for the WNP and the NA TCs in this study. WNP NA Size (8 lat) No. of cases No. of TCs Mean Std dev Median th percentile th percentile Strength (m s 21 ) No. of cases No. of TCs Mean Std dev Median th percentile th percentile this study and theirs. Again, because the values of the tangential winds y u and total winds y are similar, OCS can be estimated using (2). It should be reemphasized that the strength defined here is not a measure of the TC intensity (MSW and MSLP) but, rather, that of the outer-core TC circulation. Given the fulfillment of the prerequisite that R17 of a particular case is valid, OCS is then calculated as OCS r52:58lat å r51:08lat y(r). (2) The denominator 7 represents the number of values of y to be averaged as these values are at latitude intervals. Due to the rain contamination or partial coverage of a swath, a maximum of two missing values of y are allowed within latitude radius from the TC center. Although the RMWs of some cases lie within or even outside of this region, the impact on the overall result should not be substantial because they only account for 3% or less of the total cases. e. Estimation of GEOS-5 ROCI The method of defining ROCI using GEOS-5 data is similar to that of Merrill (1984). Given that R17 is valid, SLP data from GEOS-5 are plotted at 2-hPa contour intervals. GEOS-5 ROCI is then defined as the average of the distances to the north, east, south, and west from the TC center to the highest-valued closed isobar. If the outermost-closed isobar is strongly elongated or distorted, the next isobar of a lower value is used. This might be subjective to a certain extent. However, such an approach ensures that the main circulation of the TC is considered.
5 MARCH 2012 C H A N A N D C H A N 815 TABLE 2. Size categories over the WNP used by different researchers and meteorological centers. Units are degrees latitude. Based on ROCI Merrill (1984) JMA and JTWC Based on relative vorticity Liu and Chan (2002) f. Classifications of size and strength As there is no absolute definition of the classifications of size and strength of a TC, the classifications of size (small or large) and strength (low or high) are defined in this study using the 25th and 75th percentiles (Table 1). For comparison, the size categories of other researchers or meteorological centers over the WNP and the NA are summarized in Tables 2 and 3, respectively. The different definitions of TC size are likely the reason for the values of the size category boundaries in this study being smaller than those of previous studies. Again, as mentioned in the introduction, based on remote sensing techniques and our data selection criteria, the sample size of this study is the largest among all the previous studies. 4. Relation between size and strength This study (based on R17) Study period Very small,2 Small,3 2 3,3,1.41 Medium Large Very large.8 In both the WNP and the NA, a strong relationship between R17 and OCS (r 0.9) is found (Fig. 1). This 11-yr comprehensive study confirms the preliminary results of Weatherford and Gray (1988b) based on 3 yr of aircraft reconnaissance data. Given the fact that most of the radial decaying wind factors are similar, such high correlation is reasonable because R17 is a quantity describing the distance that the wind decays to gale force (17 m s 21 ) from the TC center. Thus, the larger the R17, the higher the wind speeds that can be captured (within latitude), and vice versa. Due to such a high correlation between R17 and OCS, most of the climatological features of OCS are found to be similar to those of R17 (not shown). Therefore, for succinctness and to avoid redundancy, only the climatology of R17 will be discussed for the rest of the paper and will be used to generalize the climatology of OCS in this study as well. In other words, the climatologies of large, medium, and small TCs are applicable to high-, average-, and low strength TCs, respectively. The statistical attributes of TC size and strength for the WNP and the NA TCs are shown in Table 1. TABLE 3. Size categories over the NA used by different researchers. Units are degrees latitude. Based on ROCI This study Merrill (1984) (based on R17) Study period Small,2,1.26 Medium Large Climatology of TC size a. Overall distributions Cases fulfilling all of the data selection criteria in section 3 represent around 37% and 27% of the total possible cases over the WNP and the NA, respectively (Table 1), with the latter being counted by the number of times during which TCs had MSW $ 40 kt (from best-track datasets) (1 kt m s 21 ) every 12 h. 1 Such percentages are considered to be reasonable because a large number of cases are ignored or filtered due to large swath gaps (; km) in the tropics and subtropics, rain contamination, and proximity to landmass. The percentage frequency distributions of the sizes of TCs over the WNP and the NA in the period of study show that TCs over the WNP have a broader spectrum of sizes (Fig. 2), which is consistent with the results of Liu and Chan (1999). The mean size of WNP TCs is larger by 0.38 latitude (;16%) than those over the NA (Table 1), which means that, on average, the area enclosed by WNP TCs is about 1.35 times larger than that of the NA TCs. This difference in mean TC sizes between the two basins is statistically significant at the 99.9% confidence level based on a Student s t test. This result also suggests that WNP TCs have a slower radial decaying wind profile than those with the same intensity andarethereforelikelytobemoredestructive.the means and the medians of TC size in both basins in this study are comparable to those of Chavas and Emanuel (2010), though their definition of size is different. In addition, the standard deviation of size over the WNP is also found to be significantly (99.9% confidence level based on an F test) larger than that over the NA, which suggests that WNP TCs have a larger size variation than NA TCs. 1 A threshold of 40 kt (rather than 34 kt) and a time period of 12 h (rather than every 6 h or 1 day) are set here because the besttrack datasets only give 1-min MSW, which is not consistent with the QuikSCAT mean surface wind (;8 10 min) and QuikSCAT is a polar-orbiting satellite that generally has swaths twice per day (;12 h in between) over a given geographic region. Therefore, in order to have a fair count of the total possible cases, an increment in the wind speed and the matched time period should be made.
6 816 M O N T H L Y W E A T H E R R E V I E W VOLUME 140 FIG. 2. Percentage frequency distributions of size over the WNP and NA. FIG. 1. Scatter diagrams of OCS vs R17 over the (a) WNP and (b) NA. Lines indicate the regression lines. Such results are consistent with those of previous studies although their definitions of TC size are different (Table 4). In terms of ROCI, the mean GEOS-5 ROCIs are found to be 4.28 and 3.38 latitude over the WNP and the NA, respectively, which are also similar to those from Merrill (1984). The correlation coefficients between MSW and TC size over the WNP and the NA are found to be 0.29 and 0.35, respectively, which are consistent with those from Merrill (1984) and Chavas and Emanuel (2010). b. Monthly variations The monthly means of TC size during the study period over the WNP and NA (Fig. 3) give two R17 peaks in both the WNP (July and October) and the NA (September and November). Over the WNP, the mean TC sizes in July and October are larger (statistically significant at the 90% confidence level based on the Student s t test) than those of their neighboring months. On the other hand, the mean NA TC sizes in September and November are larger than those of their neighboring months at the 99% and 74% confidence levels, respectively, which suggests that the mean R17 peak in November may not be genuine or significant, probably because of the small number of cases. However, these two peaks are consistent with the results of Kimball and Mulekar (2004), who studied the 15-yr climatology of TC size parameters over the NA using an extended best-track dataset ( ). They also found two mean R17 peaks in September and November. Nevertheless, the peak found in November should be treated with caution. These monthly mean size peaks are consistent with the monthly percentage frequencies of large TCs during July October (JASO) (Fig. 4). Troughs in August and September over the WNP are also consistent with more small TC cases found. JASO is chosen because most TCs occur during these 4 months. Larger percentage frequencies are found in July and October over the WNP, and in September over the NA within JASO. Even if the value of R17 in November over the NA is not considered, such results (Fig. 3) are still different from those of Merrill (1984) and Liu and Chan (1999), who found a peak in the mean TC size in October in both basins. This may be due to sampling problems and the differing definitions of TC size in different studies (Table 4). However, the two seasonal mean TC size peaks found over the WNP in this study are similar to the results based on QuikSCAT data from Lee et al. TABLE 4. Summary of the mean and standard deviation of TC sizes of previous and current studies. Units are degrees latitude. Merrill (1984) Liu and Chan (1999) This study Method ROCI R15 R17 WNP Study period Mean Std dev NA Study period Mean Std dev
7 MARCH 2012 C H A N A N D C H A N 817 FIG. 3. Monthly mean sizes over the (a) WNP and (b) NA during Vertical bars represent the 95% confidence intervals in the t distribution. Numbers above the x axis indicate the number of cases. (2010), who defined R15 as TC size and found two mean TC size peaks in August and October. It is suggested that these two seasonal mean TC size peaks found over the WNP may be genuine. Besides, the peak found in September over the NA is consistent with the results of Kimball and Mulekar (2004). Thus, an interdecadal variation in seasonal TC size may actually exist. In addition, it is remarkable that the monthly mean TC lifetimes [estimated by the time interval starting from MSW 5 34 kt (in genesis or deepening stages) to MSW 5 34 kt (in decaying stage) from best-track data] match quite well with the monthly mean TC sizes (Fig. 5). The monthly mean TC lifetimes peaks in July and October are longer than those of their neighboring months at the 80% and 75% confidence levels, respectively. In other words, it is suggested that TCs having longer lifetimes may have more time to intensify and grow (e.g., angular momentum transports, moisture convergences, upper-level divergences, etc.). To summarize, within the study period ( ), the mean sizes of both midsummer (July) and late-season (October) TCs are relatively large over the WNP and TCs occurring in the late season (September) tend to be larger over the NA. FIG. 4. Monthly percentage frequencies of small (S), medium (M), and large (L) TCs over the (a) WNP and (b) NA in JASO. The monthly mean distributions of GEOS-5 ROCI and ROCIs from the operational centers are different from that of R17 (Fig. 6) although GEOS-5 ROCI and R17 are significantly correlated (Fig. 7), with correlation coefficients of ; (statistically significant at the FIG. 5. Monthly mean sizes and lifetimes over the WNP. Vertical bars represent the 95% confidence intervals of TC lifetime in the t distribution. Numbers above the x axis indicate the number of R17 cases and number of TCs (with parentheses). The results for the months with fewer than eight TCs are not shown.
8 818 M O N T H L Y W E A T H E R R E V I E W VOLUME 140 FIG. 6. Homogeneous monthly means of GEOS-5 ROCI, ROCIs from the operation centers, and sizes (R17), over the (a) WNP and (b) NA. Numbers above the x axis indicate the number of cases. The results for the months with fewer than two cases are not shown. 99% confidence level based on the Student s t test). It is notable that Fig. 6 also shows there should be a difference between the approaches of finding ROCI between JTWC and NHC in which the JTWC ROCI seems to have a systematic smaller value than that of the GEOS-5 ROCI while the NHC ROCI matches well with the GEOS-5 ROCI. This is the reason why the GEOS-5 ROCI is chosen in order to present a fair comparison and consistency in this study. The month with the maximum mean GEOS-5 ROCI over the WNP is October, which is consistent with results from previous studies (Brand 1972; Merrill 1984; Liu and Chan 1999). Note, however, that the peak over the NA is again in November. Over the NA, the month having the maximum mean ROCI estimated from both the GEOS-5 data (17 cases) and the NHC best-track data (134 cases) is found to be November (Fig. 6b), which differs from the findings in Merrill s (1984) study that the maximum is in October. The mean TC sizes obtained from the GEOS-5 data and the NHC best-track data in November are significantly (based on the Student s t test) larger than those of their neighboring months at the 95% and 99% confidence FIG. 7. Scatter diagrams of GEOS-5 ROCI vs size over the (a) WNP and (b) NA. Lines indicate the regression lines. levels, respectively. Again, this difference gives additional evidence to support the hypothesis that there could be an interdecadal variation in seasonal TC size (R17 and ROCI). c. Spatial variations No large TC is found in the regions south of 108N or north of 408N over the WNP (Fig. 8a). The percentage frequency of large WNP TCs [calculated by the fraction of the number of large TCs cases to the number of all possible cases (including large, medium, and small TCs cases) within the particular month and region] at N increases from August to October. Note that the peaks in the percentage frequencies of large TCs over the WNP shift from N in July and August to N in September and October. This suggests that large TCs in the WNP are likely to occur at lower latitudes in midsummer but higher latitudes in the late season. Over the NA, no large TC is found south of 108N or north of 508N in JASO (Fig. 8b). The percentage frequencies of large TCs increase from July to September. TCs tend to be small if they are located within N (Fig. 9). No clear latitudinal distribution of small TCs can be found over the WNP (not shown).
9 MARCH 2012 C H A N A N D C H A N 819 FIG. 9. Percentage frequencies of small TCs over the NA as a function of latitude in JASO. FIG. 8. Percentage frequencies of large TCs over the (a) WNP and (b) NA as a function of latitude in JASO. Similarly, in the NA, the STR moves equatorward from midsummer to late season (Fig. 12), which also suggests that TCs will have a higher chance to recurve into the westerlies before weakening so that they may continue to grow in size. In terms of the total frequency within the study period, more large WNP TC cases are found in the region N and E (small, 100; large, 145) where recurvature often occurs (Fig. 13a). Small WNP TCs are In addition, the percentage frequencies of large TCs as a function of longitude for JASO over the WNP show a higher large TC occurrence percentage shifting from west ( E) in July and August to east ( E) in September and October (Fig. 10a). Over the NA, TCs occurring over the eastern Gulf of Mexico ( W) are likely to be large TCs (Fig. 10b). These observations can likely be explained by the seasonal migration of the subtropical ridge (STR). Over the WNP, the STR moves poleward and extends westward from the central Pacific to eastern China (Figs. 11a and 11b) in midsummer. As a result, more TCs form at higher latitudes and are forced to move westward so that they seldom reach too far north. During the late season, the STR moves equatorward and retreats eastward. TCs are therefore more likely to form at lower latitudes. The eastward retreat of STR together with the southward penetration of midlatitude troughs often lead to a col region between the Asian continental anticyclone associated with the Asian winter monsoon and the STR (Figs. 11c and 11d), which would favor the TCs recurvature. Late-season TCs therefore tend to have a longer life span and thus have more time to develop into larger TCs, which is consistent with the results in Fig. 5. FIG. 10. As in Fig. 8, but as a function of longitude.
10 820 M O N T H L Y W E A T H E R R E V I E W VOLUME 140 FIG. 11. Climatology of streamlines (solid lines with arrows) and isotachs (dashed lines in m s 21 ) at 500 hpa during (a) July, (b) August, (c) September, and (d) October over the WNP during more likely to appear in the southeastern region (58 208N, E) (small, 25; large, 5), south of 158N (small, 48; large, 25), and in the South China Sea (small, 32; large, 12) (Fig. 13b). In the NA (Fig. 14), more large TCs cases are found (small, 7; large, 20) in the northeastern region ( N, W) and eastern Gulf of Mexico (small, 0; large, 9) while more small TCs cases are found (small, 22; large, 9) in the southeastern region ( N, W) and western Gulf of Mexico (small, 7; large, 0). d. Interannual variations The annual mean WNP TC size correlates strongly with the ENSO index (JASO average), with r 0.76 (Fig. 15). In addition, an even higher correlation (r 0.95) is found between the annual mean TC lifetime and TC size over the WNP (Fig. 16), which further reinforces the conclusions discussed in relation to Fig. 5. Both correlations are significant at the 99% confidence level based on a Student s t test. The interannual variation of TC size (Fig. 15a) shows the mean TC size over the WNP in the strong La Niña year of 1999 is especially small, which agrees with the findings of Chan and Yip (2003). During strong La Niña years, the STR position and TC formations shift westward across the western Pacific (Wang and Chan 2002; Wu et al. 2004). The westward shift in TC formations is related to the reduced overwater tracks prior to landfall, thus reducing the TC lifetime. Over the NA, no such correlations are found because the strict data selection criteria used in this study result in an annual average of 6.6 TCs over the NA, which unfortunately is not large enough to identify interannual variations. 6. Summary and discussion Weatherford and Gray (1988a,b) studied the tropical cyclone (TC) structure using 3 yr ( ) of aircraft
11 MARCH 2012 C H A N A N D C H A N 821 FIG. 12. As in Fig. 11, but over the NA. reconnaissance data over the western North Pacific (WNP). They were the first to introduce the concept of outer-core strength (OCS) for describing the outer structure of TCs. In this comprehensive statistical study, an 11-yr ( ) climatology of both TC size (azimuthally averaged radius of 17 m s 21 ocean-surface winds, R17) and strength (azimuthally averaged total surface wind speed within 18 and 2.58-latitude radius from TC center, OCS) over the WNP (including the South China Sea) and the North Atlantic (NA, including the Gulf of Mexico and the Caribbean Sea) is further made using QuikSCAT satellite data. Based on the strict data selection criteria, the sample size is the largest among all of the investigations that are based on remote sensing techniques (cf. Weatherford and Gray 1988a,b; Liu and Chan 1999; Chavas and Emanuel 2010; Lee et al. 2010). This study therefore provides more robust results compared with those of previous studies. As the statistical results found in strength are similar to those found in size, the climatology of large, medium, and small TCs is likely to be applicable to TCs with high, average, and low strength, respectively. In addition to results that are consistent with previous results, this study identifies seasonal, interannual, and spatial variations of each category of TC size. Such climatological attributes are explained in terms of TC tracks, lifetimes, and subtropical ridge (STR) activity. By comparing the results from different studies, this study further hypothesizes the possible existence of an interdecadal variation in TC size. a. Summary The mean and standard deviation of TC sizes are found to be and latitude for the WNP TCs, and and latitude for the NA TCs. The corresponding values for TC strength are 19.6 and 5.0 m s 21 over the WNP, and 18.7 and 5.0 m s 21 over the NA. These results suggest that compared to the NA TCs, WNP TCs are 0.38 latitude larger in size and 1 m s 21 higher in strength on the average. These may probably be due to the Asian
12 822 M O N T H L Y W E A T H E R R E V I E W VOLUME 140 FIG. 13. Distributions of (a) large- and (b) small-sized TCs between 1999 and 2009 over the WNP. Numbers denoted in the square bracket are number of cases, TCs, and mean TC size. winter monsoon and southwesterly summer monsoon enhancements (Liu and Chan 2002) and the much larger warm pool area over the WNP so that TCs there are under more favorable conditions to grow and strengthen than those in the NA. A strong correlation (r 0.9) is found between size and strength, which is consistent with the 3-yr aircraft reconnaissance study conducted by Weatherford and Gray (1988b). This is an important result that suggests using three parameters (size, strength, and intensity) to describe the structure of a TC may be superfluous; in other words, only size and intensity would be sufficient. The mean TC sizes and lifetimes are found to vary seasonally in both basins. The midsummer (July) and late-season (October) TC sizes and lifetimes are significantly larger and longer over the WNP. Meanwhile, overthena,thehighestvalueofthemonthlymean sizesoftcsisfoundinseptember. The percentage frequency of large TCs is found to vary spatially and seasonally. The WNP large TCs are likely to occur farther west ( E) and south ( N) in midsummer (July and August) but farther east ( E) and north ( N) in the late season (September and October). Over the NA, TCs occurring at high latitudes (.408N) in the late season (September) tend to be large. TCs occurring over the eastern Gulf of Mexico ( W) are also likely to be large. However, NA TCs tend to be small if they are located within N. These spatial distributions of different categories of TC size are probably due to the seasonal migration of the STR, which affects the tracks and lifetimes of TCs. In terms of interannual variation, the annual means of the WNP TC size are strongly related to the effect of El Niño Southern Oscillation (ENSO), with more large size and high strength in warm events (El Niño) and vice versa in cold events (La Niña). This comprehensive study verifies the preliminary results of Chan and Yip (2003) using 4 yr of data. Similar results are found between TC lifetime and size, which suggests that the longer the lifetime, the larger would be the TC. All these results are useful in both the understanding of the dynamical structure of TCs and the operational forecasting of the radius of gale-force winds. The climatology presented here represents the most comprehensive study to date and the results should therefore be robust. b. Discussion FIG. 14. As in Fig. 13, but over the NA. Two seasonal TC size (based on R17) peaks (July and October) are found over the WNP, a result different
13 MARCH 2012 C H A N A N D C H A N 823 FIG. 15. (a) Annual means of size and ENSO index (JASO average) over the WNP. Vertical bars represent the 95% confidence intervals of TC size in the t distribution. Numbers above the x axis indicate the number of cases. (b) The corresponding scatter diagram of ENSO index (JASO average) vs size over the WNP. The straight line indicates the regression line. from previous studies (Brand 1972; Merrill 1984; Liu and Chan 1999), which show only one seasonal size (based on ROCI or relative vorticity) peak (in October). In addition, the seasonal maximum ROCI over the NA (from both the GEOS-5 data and the NHC best-track data) is found to be in November, which differs from Merrill (1984) s result that the seasonal maximum ROCI ( average) occurs in October. These differences may be due to the sampling problems (e.g., number of cases, study periods, dataset, etc.) or the different definitions of TC sizes of different studies. It is also plausible that TC sizes over the two basins vary on interdecadal time scales, which could be related to the findings of the interdecadal variations of TC activities from previous studies (Yumoto and Matsuura 2001; Matsuura et al. 2003; Chan 2005; Liu and Chan 2008). For instance, Yumoto and Matsuura (2001) identified a high-frequency period (HFP) when TC activity is enhanced, and a low-frequency period (LFP) when TC activity is reduced. Their study showed that the area of TC genesis in HFPs extends more to the east than that in LFP. In other words, TC lifetime FIG. 16. (a) Annual mean sizes and lifetimes over the WNP. Vertical bars represent the 95% confidence intervals of TC lifetime in the t distribution. Numbers above the x axis indicate the number of R17 cases and number of TCs (with parentheses). (b) The corresponding scatter diagram of TC lifetime vs size over the WNP. The line indicates the regression line. mayalsovaryinasimilarmannersothattcsinhfps have a longer lifetime (and hence can be larger) and a shorter lifetime (and hence tend to be smaller) in LFPs. However, the veracity of this preliminary hypothesis and the underlying mechanisms need to be further investigated. Moreover, Merrill (1984) suggested the angular momentum transports between large and small TCs are different while Liu and Chan (2002) suggested the size of a TC depends on the synoptic flow patterns nearby. Hill and Lackmann (2009) modeled environmental relative humidity as one factor controlling TC size. Therefore, as over 10 yr of QuikSCAT data are available, more comprehensive investigation into such factors as size and strength of TCs, as well as the physics behind these factors, can also be conducted, which will be the next step of the present study. Acknowledgments. This study is from part of the first author s Ph.D. work, which is supported by the Research Studentship from City University of Hong Kong and the Hong Kong Research Grants Council Grant
14 824 M O N T H L Y W E A T H E R R E V I E W VOLUME 140 CityU The authors thank Deborah Smith for her support of the RSS QuikSCAT data description. They would also like to offer their thanks to the editor, Professor Pat Harr, and two anonymous reviewers for their comments, which led to improvements in the manuscript. REFERENCES Atlas, R., and Coauthors, 2001: The effects of marine winds from scatterometer data on weather analysis and forecasting. Bull. Amer. Meteor. Soc., 82, Brand, S., 1972: Very large and very small typhoons of the western North Pacific Ocean. J. Meteor. Soc. Japan, 50, Brennan, M. J., C. C. Hennon, and R. D. Knabb, 2009: The operational use of QuikSCAT ocean surface vector winds at the National Hurricane Center. Wea. Forecasting, 24, Chan, J. C. L., 2005: Interannual and interdecadal variations of tropical cyclone activity over the western North Pacific. Meteor. Atmos. Phys., 89, , and C. K. M. Yip, 2003: Interannual variations of tropical cyclone size over the western North Pacific. Geophys. Res. Lett., 30, 2267, doi: /2003gl , and J. D. Kepert, Eds., 2010: Global Perspectives on Tropical Cyclones: From Science to Mitigation. World Scientific, 436 pp. Chavas, D. R., and K. A. Emanuel, 2010: A QuikSCAT climatology of tropical cyclone size. Geophys. Res. Lett., 37, L18816, doi: /2010gl Ebuchi, N., H. C. Graber, and M. J. Caruso, 2002: Evaluation of wind vectors observed by QuikSCAT/SeaWinds using ocean buoy data. J. Atmos. Oceanic Technol., 19, Frank, W. M., and W. M. Gray, 1980: Radius and frequency of 15 m s 21 (30 kt) winds around tropical cyclones. J. Appl. Meteor., 19, Hill, K. A., and G. M. Lackmann, 2009: Influence of environmental humidity on tropical cyclone size. Mon. Wea. Rev., 137, Kalnay, E., and Coauthors, 1996: The NCEP/NCAR 40-Year Reanalysis Project. Bull. Amer. Meteor. Soc., 77, Kimball, S. K., and M. S. Mulekar, 2004: A 15-year climatology of North Atlantic tropical cyclones. Part I: Size parameters. J. Climate, 17, Lee, C.-S., K. K. W. Cheung, W.-T. Fang, and R. L. Elsberry, 2010: Initial maintenance of tropical cyclone size in the western North Pacific. Mon. Wea. Rev., 138, Liu, K. S., and J. C. L. Chan, 1999: Size of tropical cyclones as inferred from ERS-1 and ERS-2 data. Mon. Wea. Rev., 127, , and, 2002: Synoptic flow patterns associated with small and large tropical cyclones over the western North Pacific. Mon. Wea. Rev., 130, , and, 2008: Interdecadal variability of western North Pacific tropical cyclone tracks. J. Climate, 21, Matsuura, T., M. Yumoto, and S. Iizuka, 2003: A mechanism of interdecadal variability of tropical cyclone activity over the western North Pacific. Climate Dyn., 21, Merrill, R. T., 1984: A comparison of large and small tropical cyclones. Mon. Wea. Rev., 112, Shea, D. J., and W. M. Gray, 1973: The hurricane s inner core region. I. Symmetric and asymmetric structure. J. Atmos. Sci., 30, Stiles, B. W., and S. Yueh, 2002: Impact of rain on spaceborne Kuband scatterometer data. IEEE Trans. Geosci. Remote Sens., 40, Wang, B., and J. C. L. Chan, 2002: How strong ENSO events affect tropical storm activity over the western North Pacific. J. Climate, 15, Weatherford, C. L., and W. M. Gray, 1988a: Typhoon structure as revealed by aircraft reconnaissance. Part I: Data analysis and climatology. Mon. Wea. Rev., 116, , and, 1988b: Typhoon structure as revealed by aircraft reconnaissance. Part II: Structural variability. Mon. Wea. Rev., 116, Wu, M. C., W. L. Chang, and W. M. Leung, 2004: Impacts of El Niño Southern Oscillation events on tropical cyclone landfalling activity in the western North Pacific. J. Climate, 17, Yuan, J., D. Wang, Q. Wan, and C. Liu, 2007: A 28-year climatological analysis of size parameters for northwestern Pacific tropical cyclones. Adv. Atmos. Sci., 24, Yumoto, M., and T. Matsuura, 2001: Interdecadal variability of tropical cyclone activity in the western North Pacific. J. Meteor. Soc. Japan, 79,
Inactive Period of Western North Pacific Tropical Cyclone Activity in
2614 J O U R N A L O F C L I M A T E VOLUME 26 Inactive Period of Western North Pacific Tropical Cyclone Activity in 1998 2011 KIN SIK LIU AND JOHNNY C. L. CHAN Guy Carpenter Asia-Pacific Climate Impact
More informationThe Interdecadal Variation of the Western Pacific Subtropical High as Measured by 500 hpa Eddy Geopotential Height
ATMOSPHERIC AND OCEANIC SCIENCE LETTERS, 2015, VOL. 8, NO. 6, 371 375 The Interdecadal Variation of the Western Pacific Subtropical High as Measured by 500 hpa Eddy Geopotential Height HUANG Yan-Yan and
More informationNOTES AND CORRESPONDENCE. What Has Changed the Proportion of Intense Hurricanes in the Last 30 Years?
1432 J O U R N A L O F C L I M A T E VOLUME 21 NOTES AND CORRESPONDENCE What Has Changed the Proportion of Intense Hurricanes in the Last 30 Years? LIGUANG WU Laboratory for Atmospheres, NASA Goddard Space
More informationReprint 675. Variations of Tropical Cyclone Activity in the South China Sea. Y.K. Leung, M.C. Wu & W.L. Chang
Reprint 675 Variations of Tropical Cyclone Activity in the South China Sea Y.K. Leung, M.C. Wu & W.L. Chang ESCAP/WMO Typhoon Committee Annual Review 25 Variations in Tropical Cyclone Activity in the South
More information1. Introduction. 2. Verification of the 2010 forecasts. Research Brief 2011/ February 2011
Research Brief 2011/01 Verification of Forecasts of Tropical Cyclone Activity over the Western North Pacific and Number of Tropical Cyclones Making Landfall in South China and the Korea and Japan region
More information2013 ATLANTIC HURRICANE SEASON OUTLOOK. June RMS Cat Response
2013 ATLANTIC HURRICANE SEASON OUTLOOK June 2013 - RMS Cat Response Season Outlook At the start of the 2013 Atlantic hurricane season, which officially runs from June 1 to November 30, seasonal forecasts
More informationThe Outer-Core Wind Structure of Tropical Cyclones
Journal August 2018 of the Meteorological Society of Japan, K. T. Vol. F. CHAN 96, No. and 4, J. pp. C. 297 315, L. CHAN2018 297 DOI:10.2151/jmsj.2018-042 The Outer-Core Wind Structure of Tropical Cyclones
More informationPRMS WHITE PAPER 2014 NORTH ATLANTIC HURRICANE SEASON OUTLOOK. June RMS Event Response
PRMS WHITE PAPER 2014 NORTH ATLANTIC HURRICANE SEASON OUTLOOK June 2014 - RMS Event Response 2014 SEASON OUTLOOK The 2013 North Atlantic hurricane season saw the fewest hurricanes in the Atlantic Basin
More informationA Preliminary Climatology of Extratropical Transitions in the Southwest Indian Ocean
A Preliminary Climatology of Extratropical Transitions in the Southwest Indian Ocean Kyle S. Griffin Department of Atmospheric and Environmental Sciences, University at Albany, State University of New
More informationThe Formation of Precipitation Anomaly Patterns during the Developing and Decaying Phases of ENSO
ATMOSPHERIC AND OCEANIC SCIENCE LETTERS, 2010, VOL. 3, NO. 1, 25 30 The Formation of Precipitation Anomaly Patterns during the Developing and Decaying Phases of ENSO HU Kai-Ming and HUANG Gang State Key
More informationP2.11 DOES THE ANTARCTIC OSCILLATION MODULATE TROPICAL CYCLONE ACTIVITY IN THE NORTHWESTERN PACIFIC
P2.11 DOES THE ANTARCTIC OSCILLATION MODULATE TROPICAL CYCLONE ACTIVITY IN THE NORTHWESTERN PACIFIC Joo-Hong Kim*, Chang-Hoi Ho School of Earth and Environmental Sciences, Seoul National University, Korea
More informationThe 2009 Hurricane Season Overview
The 2009 Hurricane Season Overview Jae-Kyung Schemm Gerry Bell Climate Prediction Center NOAA/ NWS/ NCEP 1 Overview outline 1. Current status for the Atlantic, Eastern Pacific and Western Pacific basins
More informationAnalysis of Fall Transition Season (Sept-Early Dec) Why has the weather been so violent?
WEATHER TOPICS Analysis of Fall Transition Season (Sept-Early Dec) 2009 Why has the weather been so violent? As can be seen by the following forecast map, the Fall Transition and early Winter Season of
More informationChanges in Western Pacific Tropical Cyclones Associated with the El Niño-Southern Oscillation Cycle
1 2 3 Changes in Western Pacific Tropical Cyclones Associated with the El Niño-Southern Oscillation Cycle 4 5 6 7 Richard C. Y. Li 1, Wen Zhou 1 1 Guy Carpenter Asia-Pacific Climate Impact Centre, School
More informationClimate Forecast Applications Network (CFAN)
Forecast of 2018 Atlantic Hurricane Activity April 5, 2018 Summary CFAN s inaugural April seasonal forecast for Atlantic tropical cyclone activity is based on systematic interactions among ENSO, stratospheric
More informationDynamically Derived Tropical Cyclone Intensity Changes over the Western North Pacific
1JANUARY 2012 W U A N D Z H A O 89 Dynamically Derived Tropical Cyclone Intensity Changes over the Western North Pacific LIGUANG WU AND HAIKUN ZHAO Key Laboratory of Meteorological Disaster of Ministry
More informationEvaluating a Genesis Potential Index with Community Climate System Model Version 3 (CCSM3) By: Kieran Bhatia
Evaluating a Genesis Potential Index with Community Climate System Model Version 3 (CCSM3) By: Kieran Bhatia I. Introduction To assess the impact of large-scale environmental conditions on tropical cyclone
More informationSea surface temperature east of Australia: A predictor of tropical cyclone frequency over the western North Pacific?
Article Atmospheric Science January 2011 Vol.56 No.2: 196 201 doi: 10.1007/s11434-010-4157-5 SPECIAL TOPICS: Sea surface temperature east of Australia: A predictor of tropical cyclone frequency over the
More informationThe Coupled Model Predictability of the Western North Pacific Summer Monsoon with Different Leading Times
ATMOSPHERIC AND OCEANIC SCIENCE LETTERS, 2012, VOL. 5, NO. 3, 219 224 The Coupled Model Predictability of the Western North Pacific Summer Monsoon with Different Leading Times LU Ri-Yu 1, LI Chao-Fan 1,
More information1. Introduction. 3. Climatology of Genesis Potential Index. Figure 1: Genesis potential index climatology annual
C. ENSO AND GENESIS POTENTIAL INDEX IN REANALYSIS AND AGCMS Suzana J. Camargo, Kerry A. Emanuel, and Adam H. Sobel International Research Institute for Climate and Society, Columbia Earth Institute, Palisades,
More informationDepartment of Atmospheric Sciences, National Taiwan University, Taipei, Taiwan
10A.4 TROPICAL CYCLONE FORMATIONS IN THE SOUTH CHINA SEA CHENG-SHANG LEE 1 AND YUNG-LAN LIN* 1, 2 1 Department of Atmospheric Sciences, National Taiwan University, Taipei, Taiwan 2 Taipei Aeronautic Meteorological
More informationMomentum Transports Associated with Tropical Cyclone Recurvature
1021 Momentum Transports Associated with Tropical Cyclone Recurvature Y. S. LIANDJOHNNY C. L. CHAN Department of Physics and Materials Science, City University of Hong Kong, Kowloon, Hong Kong, China (Manuscript
More informationAnuMS 2018 Atlantic Hurricane Season Forecast
AnuMS 2018 Atlantic Hurricane Season Forecast : June 11, 2018 by Dale C. S. Destin (follow @anumetservice) Director (Ag), Antigua and Barbuda Meteorological Service (ABMS) The *AnuMS (Antigua Met Service)
More informationTHE STUDY OF NUMBERS AND INTENSITY OF TROPICAL CYCLONE MOVING TOWARD THE UPPER PART OF THAILAND
THE STUDY OF NUMBERS AND INTENSITY OF TROPICAL CYCLONE MOVING TOWARD THE UPPER PART OF THAILAND Aphantree Yuttaphan 1, Sombat Chuenchooklin 2 and Somchai Baimoung 3 ABSTRACT The upper part of Thailand
More informationThe 2005 North Atlantic Hurricane Season A Climate Perspective
The 2005 North Atlantic Hurricane Season A Climate Perspective Gerald Bell 1, Eric Blake 2, Chris Landsea 2, Kingtse Mo 1, Richard Pasch 2, Muthuvel Chelliah 1, Stanley Goldenberg 3 1 Climate Prediction
More informationA Multidecadal Variation in Summer Season Diurnal Rainfall in the Central United States*
174 JOURNAL OF CLIMATE VOLUME 16 A Multidecadal Variation in Summer Season Diurnal Rainfall in the Central United States* QI HU Climate and Bio-Atmospheric Sciences Group, School of Natural Resource Sciences,
More informationFactors Controlling Multiple Tropical Cyclone Events in the Western North Pacific*
MARCH 2011 G A O A N D L I 885 Factors Controlling Multiple Tropical Cyclone Events in the Western North Pacific* JIANYUN GAO Fujian Climate Center, CMA, Fuzhou, Fujian, China TIM LI IPRC and Department
More informationATMOSPHERIC MODELLING. GEOG/ENST 3331 Lecture 9 Ahrens: Chapter 13; A&B: Chapters 12 and 13
ATMOSPHERIC MODELLING GEOG/ENST 3331 Lecture 9 Ahrens: Chapter 13; A&B: Chapters 12 and 13 Agenda for February 3 Assignment 3: Due on Friday Lecture Outline Numerical modelling Long-range forecasts Oscillations
More informationRelationship between the potential and actual intensities of tropical cyclones on interannual time scales
Click Here for Full Article GEOPHYSICAL RESEARCH LETTERS, VOL. 34, L08810, doi:10.1029/2006gl028581, 2007 Relationship between the potential and actual intensities of tropical cyclones on interannual time
More informationModulation of North Pacific Tropical Cyclone Activity by Three Phases of ENSO
15 MARCH 2011 K I M E T A L. 1839 Modulation of North Pacific Tropical Cyclone Activity by Three Phases of ENSO HYE-MI KIM, PETER J. WEBSTER, AND JUDITH A. CURRY School of Earth and Atmospheric Science,
More informationSpatial and Temporal Variations of Tropical Cyclones at Different Intensity Scales over the Western North Pacific from 1945 to 2005
NO.5 YUAN Jinnan, LIN Ailan, and LIU Chunxia 1 Spatial and Temporal Variations of Tropical Cyclones at Different Intensity Scales over the Western North Pacific from 1945 to 2005 YUAN Jinnan ( ), LIN Ailan
More informationVariations of frequency of landfalling typhoons in East China,
INTERNATIONAL JOURNAL OF CLIMATOLOGY Int. J. Climatol. 32: 1946 1950 (2012) Published online 8 August 2011 in Wiley Online Library (wileyonlinelibrary.com) DOI: 10.1002/joc.2410 Variations of frequency
More informationThe increase of snowfall in Northeast China after the mid 1980s
Article Atmospheric Science doi: 10.1007/s11434-012-5508-1 The increase of snowfall in Northeast China after the mid 1980s WANG HuiJun 1,2* & HE ShengPing 1,2,3 1 Nansen-Zhu International Research Center,
More informationForced and internal variability of tropical cyclone track density in the western North Pacific
Forced and internal variability of tropical cyclone track density in the western North Pacific Wei Mei 1 Shang-Ping Xie 1, Ming Zhao 2 & Yuqing Wang 3 Climate Variability and Change and Paleoclimate Working
More informationThe feature of atmospheric circulation in the extremely warm winter 2006/2007
The feature of atmospheric circulation in the extremely warm winter 2006/2007 Hiroshi Hasegawa 1, Yayoi Harada 1, Hiroshi Nakamigawa 1, Atsushi Goto 1 1 Climate Prediction Division, Japan Meteorological
More informationMélicie Desflots* RSMAS, University of Miami, Miami, Florida
15B.6 RAPID INTENSITY CHANGE IN HURRICANE LILI (2002) Mélicie Desflots* RSMAS, University of Miami, Miami, Florida 1. INTRODUCTION Rapid intensity change in tropical cyclones is one of the most difficult
More informationAnuMS 2018 Atlantic Hurricane Season Forecast
AnuMS 2018 Atlantic Hurricane Season Forecast Issued: May 10, 2018 by Dale C. S. Destin (follow @anumetservice) Director (Ag), Antigua and Barbuda Meteorological Service (ABMS) The *AnuMS (Antigua Met
More informationNorth Pacific Climate Overview N. Bond (UW/JISAO), J. Overland (NOAA/PMEL) Contact: Last updated: August 2009
North Pacific Climate Overview N. Bond (UW/JISAO), J. Overland (NOAA/PMEL) Contact: Nicholas.Bond@noaa.gov Last updated: August 2009 Summary. The North Pacific atmosphere-ocean system from fall 2008 through
More informationTropical cyclones in ERA-40: A detection and tracking method
GEOPHYSICAL RESEARCH LETTERS, VOL. 35,, doi:10.1029/2008gl033880, 2008 Tropical cyclones in ERA-40: A detection and tracking method S. Kleppek, 1,2 V. Muccione, 3 C. C. Raible, 1,2 D. N. Bresch, 3 P. Koellner-Heck,
More informationEarly May Cut-off low and Mid-Atlantic rains
Abstract: Early May Cut-off low and Mid-Atlantic rains By Richard H. Grumm National Weather Service State College, PA A deep 500 hpa cutoff developed in the southern Plains on 3 May 2013. It produced a
More informationEast-west SST contrast over the tropical oceans and the post El Niño western North Pacific summer monsoon
GEOPHYSICAL RESEARCH LETTERS, VOL. 32, L15706, doi:10.1029/2005gl023010, 2005 East-west SST contrast over the tropical oceans and the post El Niño western North Pacific summer monsoon Toru Terao Faculty
More informationVariations of Typhoon Activity in Asia - Global Warming and/or Natural Cycles?
Variations of Typhoon Activity in Asia - Global Warming and/or Natural Cycles? Johnny Chan Guy Carpenter Asia-Pacific Climate Impact Centre City University of Hong Kong Tropical Cyclones Affecting the
More informationPossible Roles of Atlantic Circulations on the Weakening Indian Monsoon Rainfall ENSO Relationship
2376 JOURNAL OF CLIMATE Possible Roles of Atlantic Circulations on the Weakening Indian Monsoon Rainfall ENSO Relationship C.-P. CHANG, PATRICK HARR, AND JIANHUA JU Department of Meteorology, Naval Postgraduate
More informationCenter for Monsoon System Research, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing
ADVANCES IN ATMOSPHERIC SCIENCES, VOL. 32, OCTOBER 2015, 1319 1328 On the Weakened Relationship between Spring Arctic Oscillation and Following Summer Tropical Cyclone Frequency over the Western North
More informationCharacteristics of Storm Tracks in JMA s Seasonal Forecast Model
Characteristics of Storm Tracks in JMA s Seasonal Forecast Model Akihiko Shimpo 1 1 Climate Prediction Division, Japan Meteorological Agency, Japan Correspondence: ashimpo@naps.kishou.go.jp INTRODUCTION
More informationRelationship between typhoon activity in the northwestern Pacific and the upper-ocean heat content on interdecadal time scale
!"#$%&' JOURNAL OF TROPICAL OCEANOGRAPHY 2010 ( ) 29 * ) 6 +,8!14!!"#$% http://jto.scsio.ac.cn; http://www.jto.ac.cn *!"# 1,2, $% 2 (1., 510301; 2., 00852) : Joint Typhoon Warning Center 1945 2003 (5"
More informationComments on: Increasing destructiveness of tropical cyclones over the past 30 years by Kerry Emanuel, Nature, 31 July 2005, Vol. 436, pp.
Comments on: Increasing destructiveness of tropical cyclones over the past 30 years by Kerry Emanuel, Nature, 31 July 2005, Vol. 436, pp. 686-688 William M. Gray Department of Atmospheric Science Colorado
More informationNOTES AND CORRESPONDENCE. El Niño Southern Oscillation and North Atlantic Oscillation Control of Climate in Puerto Rico
2713 NOTES AND CORRESPONDENCE El Niño Southern Oscillation and North Atlantic Oscillation Control of Climate in Puerto Rico BJÖRN A. MALMGREN Department of Earth Sciences, University of Göteborg, Goteborg,
More informationAnuMS 2018 Atlantic Hurricane Season Forecast
AnuMS 2018 Atlantic Hurricane Season : August 12, 2018 by Dale C. S. Destin (follow @anumetservice) Director (Ag), Antigua and Barbuda Meteorological Service (ABMS) The *AnuMS (Antigua Met Service) is
More informationOn the Relationship between Western Maritime Continent Monsoon Rainfall and ENSO during Northern Winter
1FEBRUARY 2004 CHANG ET AL. 665 On the Relationship between Western Maritime Continent Monsoon Rainfall and ENSO during Northern Winter C.-P. CHANG Department of Meteorology, Naval Postgraduate School,
More information1. INTRODUCTION: 2. DATA AND METHODOLOGY:
27th Conference on Hurricanes and Tropical Meteorology, 24-28 April 2006, Monterey, CA 3A.4 SUPERTYPHOON DALE (1996): A REMARKABLE STORM FROM BIRTH THROUGH EXTRATROPICAL TRANSITION TO EXPLOSIVE REINTENSIFICATION
More informationImpacts of Climate Change on Autumn North Atlantic Wave Climate
Impacts of Climate Change on Autumn North Atlantic Wave Climate Will Perrie, Lanli Guo, Zhenxia Long, Bash Toulany Fisheries and Oceans Canada, Bedford Institute of Oceanography, Dartmouth, NS Abstract
More informationKUALA LUMPUR MONSOON ACTIVITY CENT
T KUALA LUMPUR MONSOON ACTIVITY CENT 2 ALAYSIAN METEOROLOGICAL http://www.met.gov.my DEPARTMENT MINISTRY OF SCIENCE. TECHNOLOGY AND INNOVATIO Introduction Atmospheric and oceanic conditions over the tropical
More informationJuly Forecast Update for Atlantic Hurricane Activity in 2017
July Forecast Update for Atlantic Hurricane Activity in 2017 Issued: 4 th July 2017 by Professor Mark Saunders and Dr Adam Lea Dept. of Space and Climate Physics, UCL (University College London), UK Forecast
More information28th Conference on Hurricanes and Tropical Meteorology, 28 April 2 May 2008, Orlando, Florida.
P2B. TROPICAL INTENSITY FORECASTING USING A SATELLITE-BASED TOTAL PRECIPITABLE WATER PRODUCT Mark DeMaria* NOAA/NESDIS/StAR, Fort Collins, CO Jeffery D. Hawkins Naval Research Laboratory, Monterey, CA
More informationPossible influence of the Antarctic Oscillation on tropical cyclone activity in the western North Pacific
JOURNAL OF GEOPHYSICAL RESEARCH, VOL. 110,, doi:10.1029/2005jd005766, 2005 Possible influence of the Antarctic Oscillation on tropical cyclone activity in the western North Pacific Chang-Hoi Ho, Joo-Hong
More informationDECADAL VARIATIONS OF INTENSE TYPHOON OCCURRENCE IN THE WESTERN NORTH PACIFIC
DECADAL VARIATIONS OF INTENSE TYPHOON OCCURRENCE IN THE WESTERN NORTH PACIFIC Summary CHAN, Johnny C L CityU-IAP Laboratory for Atmospheric Sciences, City University of Hong Kong Hong Kong SAR, China The
More informationThe Track Integrated Kinetic Energy of Atlantic Tropical Cyclones
JULY 2013 M I S R A E T A L. 2383 The Track Integrated Kinetic Energy of Atlantic Tropical Cyclones V. MISRA Department of Earth, Ocean and Atmospheric Science, and Center for Ocean Atmospheric Prediction
More informationAn Objective Algorithm for the Identification of Convective Tropical Cloud Clusters in Geostationary Infrared Imagery
University of North Carolina Asheville Journal of Undergraduate Research Asheville, North Carolina, 2010 An Objective Algorithm for the Identification of Convective Tropical Cloud Clusters in Geostationary
More informationWeakening relationship between East Asian winter monsoon and ENSO after mid-1970s
Article Progress of Projects Supported by NSFC Atmospheric Science doi: 10.1007/s11434-012-5285-x Weakening relationship between East Asian winter monsoon and ENSO after mid-1970s WANG HuiJun 1,2* & HE
More informationImpacts of the April 2013 Mean trough over central North America
Impacts of the April 2013 Mean trough over central North America By Richard H. Grumm National Weather Service State College, PA Abstract: The mean 500 hpa flow over North America featured a trough over
More informationThe Impact of air-sea interaction on the extratropical transition of tropical cyclones
The Impact of air-sea interaction on the extratropical transition of tropical cyclones Sarah Jones Institut für Meteorologie und Klimaforschung Universität Karlsruhe / Forschungszentrum Karlsruhe 1. Introduction
More information7 December 2016 Tokyo Climate Center, Japan Meteorological Agency
Summary of the 2016 Asian Summer Monsoon 7 December 2016 Tokyo Climate Center, Japan Meteorological Agency This report summarizes the characteristics of the surface climate and atmospheric/oceanographic
More informationHurricane Structure: Theory and Diagnosis
Hurricane Structure: Theory and Diagnosis 7 March, 2016 World Meteorological Organization Workshop Chris Landsea Chris.Landsea@noaa.gov National Hurricane Center, Miami Outline Structure of Hurricanes
More informationVariations of Typhoon Activity in Asia - Global Warming and/or Natural Cycles?
Variations of Typhoon Activity in Asia - Global Warming and/or Natural Cycles? Johnny Chan Guy Carpenter Asia-Pacific Climate Impact Centre City University of Hong Kong Outline The common perception and
More informationA Tropical Cyclone with a Very Large Eye
JANUARY 1999 PICTURES OF THE MONTH 137 A Tropical Cyclone with a Very Large Eye MARK A. LANDER University of Guam, Mangilao, Guam 9 September 1997 and 2 March 1998 1. Introduction The well-defined eye
More informationCirculation features associated with the record-breaking typhoon landfall on Japan in 2004
GEOPHYSICAL RESEARCH LETTERS, VOL. 32, L14713, doi:10.1029/2005gl022494, 2005 Circulation features associated with the record-breaking typhoon landfall on Japan in 2004 Joo-Hong Kim, 1,2 Chang-Hoi Ho,
More informationAssessing Impacts of Global Warming on Tropical Cyclone Tracks*
1686 JOURNAL OF CLIMATE Assessing Impacts of Global Warming on Tropical Cyclone Tracks* LIGUANG WU Goddard Earth and Technology Center, University of Maryland, Baltimore County, Baltimore, and Laboratory
More informationWhy the Atlantic was surprisingly quiet in 2013
1 Why the Atlantic was surprisingly quiet in 2013 by William Gray and Phil Klotzbach Preliminary Draft - March 2014 (Final draft by early June) ABSTRACT This paper discusses the causes of the unusual dearth
More informationComments by William M. Gray (Colorado State University) on the recently published paper in Science by Webster, et al
Comments by William M. Gray (Colorado State University) on the recently published paper in Science by Webster, et al., titled Changes in tropical cyclone number, duration, and intensity in a warming environment
More informationTopic 3.2: Tropical Cyclone Variability on Seasonal Time Scales (Observations and Forecasting)
Topic 3.2: Tropical Cyclone Variability on Seasonal Time Scales (Observations and Forecasting) Phil Klotzbach 7 th International Workshop on Tropical Cyclones November 18, 2010 Working Group: Maritza Ballester
More informationQuikSCAT Analysis of Hurricane Force Extratropical Cyclones in the Pacific Ocean
University of Rhode Island DigitalCommons@URI Senior Honors Projects Honors Program at the University of Rhode Island 2010 QuikSCAT Analysis of Hurricane Force Extratropical Cyclones in the Pacific Ocean
More informationSUPPLEMENTARY INFORMATION
Figure S1. Summary of the climatic responses to the Gulf Stream. On the offshore flank of the SST front (black dashed curve) of the Gulf Stream (green long arrow), surface wind convergence associated with
More informationAnuMS 2018 Atlantic Hurricane Season Forecast
AnuMS 2018 Atlantic Hurricane Season Forecast Issued: April 10, 2018 by Dale C. S. Destin (follow @anumetservice) Director (Ag), Antigua and Barbuda Meteorological Service (ABMS) The *AnuMS (Antigua Met
More informationImpact of Stochastic Convection on Ensemble Forecasts of Tropical Cyclone Development
620 M O N T H L Y W E A T H E R R E V I E W VOLUME 139 Impact of Stochastic Convection on Ensemble Forecasts of Tropical Cyclone Development ANDREW SNYDER AND ZHAOXIA PU Department of Atmospheric Sciences,
More informationThe ENSO s Effect on Eastern China Rainfall in the Following Early Summer
ADVANCES IN ATMOSPHERIC SCIENCES, VOL. 26, NO. 2, 2009, 333 342 The ENSO s Effect on Eastern China Rainfall in the Following Early Summer LIN Zhongda ( ) andluriyu( F ) Center for Monsoon System Research,
More informationChange in the tropical cyclone activity around Korea by the East Asian summer monsoon
DOI 10.1186/s40562-017-0067-6 RESEARCH LETTER Open Access Change in the tropical cyclone activity around Korea by the East Asian summer monsoon Jae Won Choi *, Yumi Cha and Jeoung Yun Kim Abstract Correlation
More information4. Climatic changes. Past variability Future evolution
4. Climatic changes Past variability Future evolution TROPICAL CYCLONES and CLIMATE How TCs have varied during recent and distant past? How will TC activity vary in the future? 2 CURRENT CLIMATE : how
More informationModulation of North Pacific Tropical Cyclone Activity by the Three Phases of ENSO
1 2 3 Modulation of North Pacific Tropical Cyclone Activity by the Three Phases of ENSO 4 5 6 7 Hye-Mi Kim, Peter J. Webster and Judith A. Curry School of Earth and Atmospheric Science, Georgia Institute
More informationExperimental Forecasts of Seasonal Forecasts of Tropical Cyclone Landfall in East Asia (Updated version with Jun-Dec forecasts) 3.
Research Brief 2014/02 Experimental Forecasts of Seasonal Forecasts of Tropical Cyclone Landfall in East Asia (Updated version with Jun-Dec forecasts) Johnny C L Chan 1 and Judy W R Huang 2 1 Guy Carpenter
More informationPossible Effects of Global Warming on Tropical Cyclone Activity
Possible Effects of Global Warming on Tropical Cyclone Activity Johnny Chan Guy Carpenter Asia-Pacific Climate Impact Centre School of Energy and Environment City University of Hong Kong Outline Background
More informationInterrelationship between Indian Ocean Dipole (IOD) and Australian Tropical Cyclones
International Journal of Environmental Science and Development, Vol. 4, No. 6, December 2013 Interrelationship between Indian Ocean Dipole (IOD) and Australian Tropical Cyclones Kamal Kumar Saha and Saleh
More informationExtratropical transition of North Atlantic tropical cyclones in variable-resolution CAM5
Extratropical transition of North Atlantic tropical cyclones in variable-resolution CAM5 Diana Thatcher, Christiane Jablonowski University of Michigan Colin Zarzycki National Center for Atmospheric Research
More informationInner core dynamics: Eyewall Replacement and hot towers
Inner core dynamics: Eyewall Replacement and hot towers FIU Undergraduate Hurricane Internship Lecture 4 8/13/2012 Why inner core dynamics is important? Current TC intensity and structure forecasts contain
More informationAugust Forecast Update for Atlantic Hurricane Activity in 2012
August Forecast Update for Atlantic Hurricane Activity in 2012 Issued: 6 th August 2012 by Professor Mark Saunders and Dr Adam Lea Dept. of Space and Climate Physics, UCL (University College London), UK
More informationEffects of monsoon trough interannual variation on tropical cyclogenesis over the western North Pacific
PUBLICATIONS Geophysical Research Letters RESEARCH LETTER Key Points: The thermodynamic impact is comparable to the dynamic impact The strong year sets a more favorable condition Supporting Information:
More informationTyphoon Relocation in CWB WRF
Typhoon Relocation in CWB WRF L.-F. Hsiao 1, C.-S. Liou 2, Y.-R. Guo 3, D.-S. Chen 1, T.-C. Yeh 1, K.-N. Huang 1, and C. -T. Terng 1 1 Central Weather Bureau, Taiwan 2 Naval Research Laboratory, Monterey,
More informationExamination of Tropical Cyclogenesis using the High Temporal and Spatial Resolution JRA-25 Dataset
Examination of Tropical Cyclogenesis using the High Temporal and Spatial Resolution JRA-25 Dataset Masato Sugi Forecast Research Department, Meteorological Research Institute, Japan Correspondence: msugi@mri-jma.go.jp
More informationNorth Pacific Climate Overview N. Bond (UW/JISAO), J. Overland (NOAA/PMEL) Contact: Last updated: September 2008
North Pacific Climate Overview N. Bond (UW/JISAO), J. Overland (NOAA/PMEL) Contact: Nicholas.Bond@noaa.gov Last updated: September 2008 Summary. The North Pacific atmosphere-ocean system from fall 2007
More informationTropical Cyclone Hyperactivity in the Eastern and Central Caribbean Sea During the 2005 Atlantic Hurricane Season
Proceedings of the National Conference On Undergraduate Research (NCUR) 2006 The University of North Carolina at Asheville Asheville, North Carolina April 6 8, 2006 Tropical Cyclone Hyperactivity in the
More informationLectures on Tropical Cyclones
Lectures on Tropical Cyclones Chapter 1 Observations of Tropical Cyclones Outline of course Introduction, Observed Structure Dynamics of Mature Tropical Cyclones Equations of motion Primary circulation
More informationTwenty-five years of Atlantic basin seasonal hurricane forecasts ( )
Click Here for Full Article GEOPHYSICAL RESEARCH LETTERS, VOL. 36, L09711, doi:10.1029/2009gl037580, 2009 Twenty-five years of Atlantic basin seasonal hurricane forecasts (1984 2008) Philip J. Klotzbach
More informationInterannual Teleconnection between Ural-Siberian Blocking and the East Asian Winter Monsoon
Interannual Teleconnection between Ural-Siberian Blocking and the East Asian Winter Monsoon Hoffman H. N. Cheung 1,2, Wen Zhou 1,2 (hoffmancheung@gmail.com) 1 City University of Hong Kong Shenzhen Institute
More informationTropical Cyclone Intensity and Structure Changes due to Upper-Level Outflow and Environmental Interactions
DISTRIBUTION STATEMENT A. Approved for public release; distribution is unlimited. Tropical Cyclone Intensity and Structure Changes due to Upper-Level Outflow and Environmental Interactions Russell L. Elsberry
More informationA Statistical-Dynamical Seasonal Forecast of US Landfalling TC Activity
A Statistical-Dynamical Seasonal Forecast of US Landfalling TC Activity Johnny Chan and Samson K S Chiu Guy Carpenter Asia-Pacific Climate Impact Centre City University of Hong Kong Research sponsored
More informationOceanic origin of the interannual and interdecadal variability of the summertime western Pacific subtropical high
Click Here for Full Article GEOPHYSICAL RESEARCH LETTERS, VOL. 35, L13701, doi:10.1029/2008gl034584, 2008 Oceanic origin of the interannual and interdecadal variability of the summertime western Pacific
More informationJuly Forecast Update for North Atlantic Hurricane Activity in 2018
July Forecast Update for North Atlantic Hurricane Activity in 2018 Issued: 5 th July 2018 by Professor Mark Saunders and Dr Adam Lea Dept. of Space and Climate Physics, UCL (University College London),
More informationThe Influence of Intraseasonal Variations on Medium- to Extended-Range Weather Forecasts over South America
486 MONTHLY WEATHER REVIEW The Influence of Intraseasonal Variations on Medium- to Extended-Range Weather Forecasts over South America CHARLES JONES Institute for Computational Earth System Science (ICESS),
More informationDISTRIBUTION STATEMENT A: Distribution approved for public release; distribution is unlimited.
DISTRIBUTION STATEMENT A: Distribution approved for public release; distribution is unlimited. INITIALIZATION OF TROPICAL CYCLONE STRUCTURE FOR OPERTAIONAL APPLICATION PI: Tim Li IPRC/SOEST, University
More informationThe Planetary Circulation System
12 The Planetary Circulation System Learning Goals After studying this chapter, students should be able to: 1. describe and account for the global patterns of pressure, wind patterns and ocean currents
More information