Machine learning in tropical cyclone forecast modeling: A review
Tropical cyclones have always been a concern of meteorologists, and there are many
studies regarding the axisymmetric structures, dynamic mechanisms, and forecasting …
studies regarding the axisymmetric structures, dynamic mechanisms, and forecasting …
Applications of machine learning to wind engineering
Advances of the analytical, numerical, experimental and field-measurement approaches in
wind engineering offers unprecedented volume of data that, together with rapidly evolving …
wind engineering offers unprecedented volume of data that, together with rapidly evolving …
A hybrid CNN-LSTM model for typhoon formation forecasting
A typhoon is an extreme weather event that can cause huge loss of life and economic
damage in coastal areas and beyond. As a consequence, the search for more accurate …
damage in coastal areas and beyond. As a consequence, the search for more accurate …
A review on the application of machine learning methods in tropical cyclone forecasting
Z Wang, J Zhao, H Huang, X Wang - Frontiers in Earth Science, 2022 - frontiersin.org
At present, there is still a bottleneck in tropical cyclone (TC) forecasting due to its complex
dynamical mechanisms and various impact factors. Machine learning (ML) methods have …
dynamical mechanisms and various impact factors. Machine learning (ML) methods have …
Improvement of typhoon intensity forecasting by using a novel spatio-temporal deep learning model
Typhoons can cause massive casualties and economic damage, and accurately predicting
typhoon intensity has always been a hot topic both in theory and practice. In consideration …
typhoon intensity has always been a hot topic both in theory and practice. In consideration …
Storm surge prediction based on long short-term memory neural network in the East China Sea
K Chen, C Kuang, L Wang, K Chen, X Han, J Fan - Applied Sciences, 2021 - mdpi.com
As an area frequently suffering from storm surge, the Yangtze River Estuary in the East
China Sea requires fast and accurate prediction of water level for disaster prevention and …
China Sea requires fast and accurate prediction of water level for disaster prevention and …
Tropical cyclone intensity change prediction based on surrounding environmental conditions with deep learning
X Wang, W Wang, B Yan - Water, 2020 - mdpi.com
Tropical cyclone (TC) motion has an important impact on both human lives and
infrastructure. Predicting TC intensity is crucial, especially within the 24 h warning time. TC …
infrastructure. Predicting TC intensity is crucial, especially within the 24 h warning time. TC …
Tropical cyclone genesis prediction based on support vector machine considering effects of multiple meteorological parameters
Most coastal regions worldwide face great challenges from tropical cyclones (TCs). Accurate
prediction of TC genesis is critical for conducting risk assessments and disaster mitigation …
prediction of TC genesis is critical for conducting risk assessments and disaster mitigation …
Stacked ensemble model for tropical cyclone path prediction
Tropical cyclones (TC) are intense circular storms that cause significant economic and
human losses in the coastal areas of the equatorial region. Various statistical models have …
human losses in the coastal areas of the equatorial region. Various statistical models have …
Using indicators of ENSO, IOD, and SAM to improve lead time and accuracy of tropical cyclone outlooks for Australia
Catastrophic impacts associated with tropical cyclone (TC) activity mean that the accurate
and timely provision of TC outlooks are important to people, places, and numerous sectors …
and timely provision of TC outlooks are important to people, places, and numerous sectors …