ACE and HDP of Tropical Cyclones Induced Disasters and Financial Loss Over China Coast During Last Decades (1995–2016)

2018 ◽  
pp. 101-111
Author(s):  
Venkata Subrahmanyam Mantravadi ◽  
Shengyan Yu ◽  
Juncheng Zuo
Keyword(s):  
Tropical Cyclones ◽  
Financial Loss ◽  
China Coast

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

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.

Exploring Inter-Basin Correlations of Tropical Cyclones and Tropical Cyclone Losses

2020 ◽  
Author(s):  
John Hillier ◽  
James Done ◽  
Hamish Steptoe
Keyword(s):  
Tropical Cyclone ◽  
Tropical Cyclones ◽  
Natural Hazards ◽  
Poisson Regression ◽  
Correlation Coefficients ◽  
Financial Loss ◽  
Financial Model ◽  
Marginal Distributions ◽  
Anthropogenic Processes ◽  
Dependency Structures

<p>Tropical cyclones (TCs) are one of the most costly natural hazards on Earth, and there is a desire to mitigate this risk. It is securely established that TC activity relates to ENSO in all oceanic basins (e.g. N. Atlantic). However, when a recent multi-basin review of correlation coefficients to ENSO was applied to a financial model of losses related to TCs, there appeared to be no significant inter-relationship between the losses between regions (e.g. US, China). It is therefore of interest to examine the chain of environmental and anthropogenic processes from TC genesis to financial loss to examine how correlations degrade. A number of hypotheses are statistically investigated, primarily using Spearman's coefficient and ranks to decouple dependency structures from the marginal distributions, but also Poisson regression.</p>

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
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