2017
DOI: 10.1007/s00382-017-3762-2
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Simulating seasonal tropical cyclone intensities at landfall along the South China coast

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Cited by 11 publications
(6 citation statements)
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“…As seen from Figure c, the maximum updraft speed is significantly stronger for the Weak_Heavy cases than for the Weak_Normal events. Lok and Chan () used the regional climate model to simulate the TC landfall over Guangdong and Hainan provinces; they also pointed out that the strong upper‐level divergence over the South China Sea accompanied by the strong subtropical high is favorable for TC development.…”
Section: Rainfall Distribution Of Tcs With Weak Intensitymentioning
confidence: 99%
See 1 more Smart Citation
“…As seen from Figure c, the maximum updraft speed is significantly stronger for the Weak_Heavy cases than for the Weak_Normal events. Lok and Chan () used the regional climate model to simulate the TC landfall over Guangdong and Hainan provinces; they also pointed out that the strong upper‐level divergence over the South China Sea accompanied by the strong subtropical high is favorable for TC development.…”
Section: Rainfall Distribution Of Tcs With Weak Intensitymentioning
confidence: 99%
“…Moreover, the rainfall shows a varied preference pattern depending on the extent to which the TC interacts with the midlatitude system (Deng & Ritchie, ). Lok and Chan () suggested that the strength and extent of the WNPSH are crucial to simulating TC landfalls in Guangdong and Hainan provinces in China based on their analysis of a regional climate model outputs. For a landfalling TC, on the one hand, it will be weakened a lot not only by the underlying frictional surface but also by the dry air intrusion.…”
Section: Introductionmentioning
confidence: 99%
“…These forecasts are produced using a range of techniques, including statistical methods (e.g., Chan et al ; ; Fan and Wang, ; Choi et al ), dynamical models (Vitart and Stockdale, ; Vecchi et al ; Camp et al ; Manganello et al ) and “hybrid” statistical–dynamical models (e.g., Kim et al ; ; Li et al ; Zhan and Wang, ; Choi et al ; Zhang et al ). Seasonal forecasts of TC landfall risk have also been developed for East Asia (Goh and Chan, ; Huang and Chan, ; Zhang et al ; , Lok and Chan, ) and for specific regions including Taiwan (Lu et al ; Choi et al ), Korea and Japan (Goh and Chan, ), China (Liu and Chan, ; Goh and Chan, ; Sun and Ahn, ), Vietnam (Duong et al ; Tan et al ), the South China Sea (Lok and Chan, ) and the East China Sea (Kim et al ).…”
Section: Introductionmentioning
confidence: 99%
“…While it is generally accepted that ENSO is not strongly correlated with contemporaneous basin TC counts 8 , a delayed suppression of TC activity in response to strong El Niño events linked to changes in large-scale circulation has been reported 9 . All the current seasonal forecasting models for South China landfall frequency are based on some level of ENSO sea surface temperature (SST) predictability [10][11][12][13] . However, none of these forecasts can be issued before the Spring.…”
mentioning
confidence: 99%