Influence of ENSO on formation of tropical cloud clusters and their development into tropical cyclones in the western North Pacific

Teng, Hsu‐Feng; Lee, Cheng-Shang; Hsu, Huang‐Hsiung

doi:10.1002/2014gl061823

Cited by 24 publications

(31 citation statements)

References 23 publications

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“…They have captured much attention due to their extensive impacts, including strong winds, precipitation, flooding, hail and lightning (Houze 2004). MCSs that occur over ocean regions can be precursors of tropical cyclones (Bister 1996;Gray 1998;Teng et al 2014). Moreover, they play a critical role in connecting atmospheric convection with large-scale atmospheric circulation patterns (Chen et al 1996;Laing and Fritsch 2000;Moncrieff 2010).…”

Section: Introductionmentioning

confidence: 99%

A long-term tropical mesoscale convective systems dataset based on a novel objective automatic tracking algorithm

Huang

et al. 2018

Clim Dyn

113

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Mesoscale convective systems (MCSs) are important components of tropical weather systems and the climate system. Longterm data of MCS are of great significance in weather and climate research. Using long-term (1985-2008) global satellite infrared (IR) data, we developed a novel objective automatic tracking algorithm, which combines a Kalman filter (KF) with the conventional area-overlapping method, to generate a comprehensive MCS dataset. The new algorithm can effectively track small and fast-moving MCSs and thus obtain more realistic and complete tracking results than previous studies. A few examples are provided to illustrate the potential application of the dataset with a focus on the diurnal variations of MCSs over land and ocean regions. We find that the MCSs occurring over land tend to initiate in the afternoon with greater intensity, but the oceanic MCSs are more likely to initiate in the early morning with weaker intensity. A double peak in the maximum spatial coverage is noted over the western Pacific, especially over the southwestern Pacific during the austral summer. Oceanic MCSs also persist for approximately 1 h longer than their continental counterparts.

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Section: Introductionmentioning

confidence: 99%

A long-term tropical mesoscale convective systems dataset based on a novel objective automatic tracking algorithm

Huang

et al. 2018

Clim Dyn

113

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“…4 except for the 850-hPa wind field (stream line) and the anomalies of relative vorticity (shaded, 10 -5 s -1 , which passes the t test at a 90% confidence level) from the climatology (1970 -2014). the TC activity in the entire WNP (Chan 2000;Teng et al 2014). Previous studies have verified that the TC activity in the entire WNP has the interdecadal variations, which are attributed to the decadal variations of large-scale sea surface temperature, low-level vorticity, and vertical wind shear in the WNP (Chan 2008;Chan 2008, 2013;Zhao and Wang 2016).…”

Section: Discussionmentioning

confidence: 90%

Long-term features of tropical cyclones affecting Taiwan

Wu¹,

Teng²,

Chan³

et al. 2019

Terr. Atmos. Ocean. Sci.

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This study investigates the long-term variations of tropical cyclones (TCs) that affected Taiwan during 1970-2014 using wavelet analysis of TC activity, and identifies the corresponding large-scale environments related to such variations. Two significant oscillations in the numbers of TCs that affect Taiwan are found: interannual (3-5-year) and interdecadal (10-16-year). The distribution of TC formation locations and the corresponding large-scale environments associated with the positive and negative phases of the interannual and interdecadal oscillations are examined. In years when both the interannual and interdecadal oscillations are positive, the lowlevel relative vorticity around Taiwan is above normal, which therefore provides a more favorable environment for TC formation in the region near Taiwan. At the same time, the large-scale environment provides a steering flow over the above-normal formation region to steer the TCs towards Taiwan. In the negative phases, anomalies of low-level relative vorticity near Taiwan become negative so that TC formation is not favored. The steering flows over areas of favorable TC formation locations also do not tend to steer the TCs to move toward Taiwan. Thus, the positive and negative phases of the interannual and interdecadal variations of the number of TCs that affect Taiwan can be explained by those in the TC formation locations and the large-scale steering flow. However, none of these variations appears to be related to the El Niño-Southern Oscillation.

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“…However, teleconnections can also be observed; there is an increase in occurrence over the Northwest United States (25–55°N, 100–120°W) and Indian Ocean (10°S–10°N, 40°–80°E) and a decrease in the Atlantic basin (10°S–10°N, 60°–10°W) during El Niño. Teng et al [] have shown that there are both increases in cloud cluster occurrence as well as their likelihood of forming tropical cyclones in the western North Pacific during El Niño.…”

Section: Resultsmentioning

confidence: 99%

A Lagrangian analysis of cold cloud clusters and their life cycles with satellite observations

et al. 2016

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Cloud movement and evolution signify the complex water and energy transport in the atmosphere‐ocean‐land system. Detecting, clustering, and tracking clouds as semicoherent clusters enable study of their evolution which can complement climate model simulations and enhance satellite retrieval algorithms, where there are gaps between overpasses. Using a cluster tracking algorithm, in this study we examine the trajectories, size, and brightness temperature of millions of cloud clusters over their lifespan, from infrared satellite observations at 30 min, 4 km resolution, for a period of 11 years. We found that the majority of cold clouds were both small and short lived and that their frequency and location are influenced by El Niño. Also, this large sample of individually tracked clouds shows their horizontal size and temperature evolution. Long‐lived clusters tended to achieve their temperature and size maturity milestones at different times, while these stages often occurred simultaneously in short‐lived clusters. On average, clusters with this lag also exhibited a greater rainfall contribution than those where minimum temperature and maximum size stages occurred simultaneously. Furthermore, by examining the diurnal cycle of cluster development over Africa and the Indian subcontinent, we observed differences in the local timing of the maximum occurrence at different life cycle stages. Over land there was a strong diurnal peak in the afternoon, while over the ocean there was a semidiurnal peak composed of longer‐lived clusters in the early morning hours and shorter‐lived clusters in the afternoon. Building on regional specific work, this study provides a global long‐term survey of object‐based cloud characteristics.

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Influence of ENSO on formation of tropical cloud clusters and their development into tropical cyclones in the western North Pacific

Cited by 24 publications

References 23 publications

A long-term tropical mesoscale convective systems dataset based on a novel objective automatic tracking algorithm

A long-term tropical mesoscale convective systems dataset based on a novel objective automatic tracking algorithm

Long-term features of tropical cyclones affecting Taiwan

A Lagrangian analysis of cold cloud clusters and their life cycles with satellite observations

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