scholarly journals A Simple Empirical Model for Estimating the Intensity Change of Tropical Cyclones after Landfall along the South China Coast

2008 ◽  
Vol 47 (1) ◽  
pp. 326-338 ◽  
Author(s):  
Martin L. M. Wong ◽  
Johnny C. L. Chan ◽  
Wen Zhou
Keyword(s):  
Tropical Cyclones ◽  
Exponential Decay ◽  
South China ◽  
Surface Wind ◽  
Decay Rates ◽  
Central Pressure ◽  
Intensity Change ◽  
The South ◽  
South China Coast ◽  
China Coast

Abstract The intensity change of past (1976–2005) tropical cyclones that made landfall along the south China coast (110.5°–117.5°E) is examined in this study using the best-track data from the Hong Kong Observatory. The change in the central pressure deficit (environmental pressure minus central pressure) and maximum surface wind after landfall are found to fit fairly well with an exponential decay model. Of the various potential predictors, the landfall intensity, landward speed, and excess of 850-hPa moist static energy have significant influence on the decay rates. Prediction equations for the exponential decay constants are developed based on these predictors.

Distribution of convection associated with tropical cyclones making landfall along the South China coast

2007 ◽  
Vol 97 (1-4) ◽  
pp. 57-68 ◽  
Author(s):  
K. S. Liu ◽  
J. C. L. Chan ◽  
W. C. Cheng ◽  
S. L. Tai ◽  
P. W. Wong
Keyword(s):  
Tropical Cyclones ◽  
South China ◽  
The South ◽  
South China Coast ◽  
China Coast

Synoptic Flow Patterns and Large-Scale Characteristics Associated with Rapidly Intensifying Tropical Cyclones in the South China Sea

2015 ◽  
Vol 143 (1) ◽  
pp. 64-87 ◽  
Author(s):  
Xiaomin Chen ◽  
Yuqing Wang ◽  
Kun Zhao
Keyword(s):  
Environmental Factors ◽  
South China Sea ◽  
Tropical Cyclones ◽  
South China ◽  
Surface Wind ◽  
Flow Patterns ◽  
The South China Sea ◽  
Intensity Change ◽  
The South ◽  
China Sea

Abstract The typical synoptic flow patterns and environmental factors that favor the rapid intensification (RI) of tropical cyclones (TCs) in the South China Sea (SCS) have been identified based on all TCs formed in the SCS between 1981 and 2011. The quantity RI is defined as the 24-h increase in maximum sustained surface wind speed by 15 m s−1 as in previous studies, which is close to the 95th percentile of 24-h intensity change of all SCS samples excluding those after landfall. There are 4.9% (2.3%) of tropical depressions (tropical storms) that experienced RI. No typhoons satisfied the RI threshold. Six low-level synoptic flow patterns favoring RI have been identified based on 18 RI cases. In the monsoon season very few TCs experience RI due to large vertical wind shear (VWS). Most RI cases occurred in the postmonsoon season when the midlatitude troughs often penetrated into the SCS whereas the southwesterly monsoon flow is still strong in the southern SCS. Compared with those of non-RI cases, the mean initial conditions of RI cases include weak VWS and relatively strong forcing from midlatitude troughs. Several criteria of significant environmental factors for RI are statistically identified based on all TC samples. It is found that 16 non-RI TCs fitted in the RI flow patterns but only two of them satisfy all the criteria, suggesting that a combination of the synoptic flow pattern and the environmental factors can be used to predict RI in the SCS. In addition, two RI cases involving TC–trough interaction are analyzed.

scholarly journals Climatological Characteristics and Seasonal Forecasting of Tropical Cyclones Making Landfall along the South China Coast

2003 ◽  
Vol 131 (8) ◽  
pp. 1650-1662 ◽  
Author(s):  
K. S. Liu ◽  
Johnny C. L. Chan
Keyword(s):  
Tropical Cyclones ◽  
South China ◽  
El Niño ◽  
El Nino ◽  
Southern Oscillation ◽  
La Niña ◽  
The South ◽  
La Nina ◽  
South China Coast ◽  
China Coast

Abstract This paper presents the important climatological features of the tropical cyclones making landfall along the South China coast and proposes a statistical scheme for the prediction of the annual number of such tropical cyclones. This number is found to have a large variation, which is mainly due to the occurrence or nonoccurrence of the El Niño–Southern Oscillation (ENSO) phenomenon. A strong El Niño event is found to reduce the number of landfalling tropical cyclones whereas more tropical cyclones tend to make landfall in years associated with La Niña events. Such variations are more prominent in some seasons. The late season (October–November) activity is generally suppressed (enhanced) in El Niño (La Niña) years whereas the chance of a tropical cyclone striking the South China coast increases (decreases) significantly in the early season (May and June) after the mature phase of a La Niña (El Niño) event. These anomalous activities are apparently linked to the ENSO-induced anomalies in the low- and midlevel large-scale circulation. Based on the ENSO-related indices such as the Niño-3.4 sea surface temperature anomaly and the equatorial Southern Oscillation index, a statistical prediction scheme for the annual number of such landfalling tropical cyclones by 1 April is developed using the projection–pursuit regression technique. This scheme provides a 40% skill improvement in root-mean-square error with respect to climatology. A real-time prediction made in 2001 gave reasonable results.

scholarly journals Rainfall asymmetries of landfalling tropical cyclones along the South China coast

2018 ◽  
Vol 26 (2) ◽  
pp. 213-220 ◽  
Author(s):  
Kelvin T. F. Chan ◽  
Johnny C. L. Chan ◽  
Wai Kin Wong
Keyword(s):  
Tropical Cyclones ◽  
South China ◽  
The South ◽  
Landfalling Tropical Cyclones ◽  
South China Coast ◽  
China Coast

The impact of energetic tropical cyclones (typhoons) on the modern sediment magnetism along the South China coast

2021 ◽  
pp. 104447
Author(s):  
Mingkun Li ◽  
Wenshen Chen ◽  
Tingping Ouyang ◽  
Chenjian He ◽  
Yuxing Kuang ◽  
...  
Keyword(s):  
Tropical Cyclones ◽  
South China ◽  
The South ◽  
Modern Sediment ◽  
Sediment Magnetism ◽  
South China Coast ◽  
The Impact ◽  
China Coast
Sign in / Sign up

Export Citation Format

Share Document