2017
DOI: 10.1175/jamc-d-16-0330.1
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Characteristics of Explosive Cyclones over the Northern Pacific

Abstract: Explosive cyclones (ECs) over the northern Pacific Ocean during the cold season (October–April) over a 15-yr (2000–15) period are analyzed by using the Final (FNL) Analysis data provided by the National Centers for Environmental Prediction. These ECs are stratified into four categories according to their intensity: weak, moderate, strong, and super ECs. In addition, according to the spatial distribution of their maximum-deepening-rate positions, ECs are further classified into five regions: the Japan–Okhotsk S… Show more

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Cited by 25 publications
(44 citation statements)
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References 70 publications
(128 reference statements)
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“…The EC definition modified by Zhang et al (2017) is used in this study and the deepening rate (DR in Bergeron) of a cyclone SLP can be calculated using the following formula: DR P t−6 − P t+6 12 × sin 45 °sin…”
Section: Definition Of Ecmentioning
confidence: 99%
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“…The EC definition modified by Zhang et al (2017) is used in this study and the deepening rate (DR in Bergeron) of a cyclone SLP can be calculated using the following formula: DR P t−6 − P t+6 12 × sin 45 °sin…”
Section: Definition Of Ecmentioning
confidence: 99%
“…Sanders and Gyakum (1980) defined the explosive cyclone (EC) as the one with the central SLP drops more than 24 hPa within 24 h when adjusted geostrophically to 60 °N. The latitude adjustment is performed to account for the variation of the geostrophic wind with latitude for a given pressure gradient. Given the facts that ECs usually occur in the mid-latitude and that the high-resolution reanalysis data are widely used, Zhang et al (2017) adjusted the latitude to 45 °N and set the pressure fall to 12 hPa/12 h. The one "Bergeron" of a 24 hPa/24 h at 60 °N in Sanders and Gyakum (1980) was modified into a 12 hPa/12 h at 45 °N. In addition, these ECs were classified into four categories using K-means clustering algorithm based on the maximum deepening rate: Super (≥2.30 Bergeron), strong (1.70-2.29 Bergeron), moderate (1.30-1.69 Bergeron) and weak (1.00-1.29 Bergeron).…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…The Sea level pressure (SLP) and geopotential height at the pressure levels from 1,000 to 200 hPa are used to identify ECs. Similar to the region used in Ding et al (1998), Allen et al (2010), and Zhang et al (2017), we focus only on the ECs that form in the Northern Hemisphere within the range of 25 -80 N, 0 -360 . In order to exclude tropical cyclones, all ECs identified in this study were confirmed to form north of 25 N (i.e., they are not generated in tropical regions) and have intense lower-level temperature gradients (i.e., their baroclinity was strong).…”
Section: Datamentioning
confidence: 99%
“…Iwao et al (2012) showed that there was an increasing trend in the numbers of ECs over the northwest Pacific from 1979 to 2010 based on a manually verified objective tracking algorithm using the 6-hourly and 1.25 × 1.25 JRA-25 reanalysis data. Zhang et al (2017) used NCEP-FNL data to analyse ECs over the North Atlantic during a 15-coldseason period, and showed that ECs' occurrence frequency was highly correlated with the intensity of lower-level baroclinity. On the basis of a 34-extended-winter statistical analysis (from 1979 to 2012) using ERA-I reanalysis data, Hart et al (2017) found that ECs were a main cause of cyclone-related strong wind events over the British Isles.…”
Section: Introductionmentioning
confidence: 99%