In order to accurately describe and predict the intensity of the typhoon storm surge, the paper builds up Poisson—Maximum Entropy Compound Extreme Value Distribution model, and estimates the return period of typhoon storm surge on the basis of observed samples from main storm surge processes in a certain observation station of QingDao from 1963 to 1989. The conclusion verified that the calculating result of new model is similar to other models, but it is relatively stable and can overcome the shortcomings of the traditional methods in the situation of lack of observed material
This paper explores an alternative method to determine extreme surge levels at the Dutch Coast. For ...
Background: After the Fukushima accident, the importance of hazard analysis for extreme external eve...
Abstract In this report, the development of a Dynamical Statistical Analog Ensemble Forecast model f...
In this study, a statistical model was set up using extreme value distribution theory to estimate th...
202207 bcfcAccepted ManuscriptRGCOthersNational Natural Science Foundation of China; the Hong Kong P...
Global warming, one of the most serious aspects of climate change, can be expected to cause rising s...
Global warming is predicted to lead to a new geographic and spatial distribution of storm-surge even...
Storm surge has become an important factor restricting the economic and social development of China’...
Disastrous storm surges and waves caused by typhoons are major marine dynamic disasters affecting th...
Estimation of ocean environmental return values is critical to the safety and reliability of marine ...
Mechanistic models for complex atmospheric and hydrological processes are often used to simulate ext...
Storm surge is one of the most devastating coastal disasters in China. The average value of the dire...
Hindcast experiments and pseudo-forecast experiments considering Typhoon Haishen (2020) were conduct...
Vietnam is located near the Northwest Pacific Ocean - the largest storm basin of the world. Thus, Vi...
AbstractBackgroundAfter the Fukushima accident, the importance of hazard analysis for extreme extern...
This paper explores an alternative method to determine extreme surge levels at the Dutch Coast. For ...
Background: After the Fukushima accident, the importance of hazard analysis for extreme external eve...
Abstract In this report, the development of a Dynamical Statistical Analog Ensemble Forecast model f...
In this study, a statistical model was set up using extreme value distribution theory to estimate th...
202207 bcfcAccepted ManuscriptRGCOthersNational Natural Science Foundation of China; the Hong Kong P...
Global warming, one of the most serious aspects of climate change, can be expected to cause rising s...
Global warming is predicted to lead to a new geographic and spatial distribution of storm-surge even...
Storm surge has become an important factor restricting the economic and social development of China’...
Disastrous storm surges and waves caused by typhoons are major marine dynamic disasters affecting th...
Estimation of ocean environmental return values is critical to the safety and reliability of marine ...
Mechanistic models for complex atmospheric and hydrological processes are often used to simulate ext...
Storm surge is one of the most devastating coastal disasters in China. The average value of the dire...
Hindcast experiments and pseudo-forecast experiments considering Typhoon Haishen (2020) were conduct...
Vietnam is located near the Northwest Pacific Ocean - the largest storm basin of the world. Thus, Vi...
AbstractBackgroundAfter the Fukushima accident, the importance of hazard analysis for extreme extern...
This paper explores an alternative method to determine extreme surge levels at the Dutch Coast. For ...
Background: After the Fukushima accident, the importance of hazard analysis for extreme external eve...
Abstract In this report, the development of a Dynamical Statistical Analog Ensemble Forecast model f...