Machine Learning in Tropical Cyclone Forecast Modeling: A Review

Applications of Deep Learning to Ocean Data Inference and Sub-Grid Parameterisation

(2019) Thomas Bolton et al.   Journal of Advances in Modeling Earth Systems

Estimating Tropical Cyclone Intensity by Satellite Imagery Utilizing Convolutional Neural Networks

(2019) Buo-Fu Chen et al.   WEATHER AND FORECASTING

Tropical cyclone intensity prediction based on recurrent neural networks

(2019) Bin Pan et al.   ELECTRONICS LETTERS

A hybrid CNN-LSTM model for typhoon formation forecasting

(2019) Rui Chen et al.   GEOINFORMATICA

Using deep learning to estimate tropical cyclone intensity from satellite passive microwave imagery

(2019) Anthony Wimmers et al.   MONTHLY WEATHER REVIEW

Machine Learning Approaches for Detecting Tropical Cyclone Formation Using Satellite Data

(2019) Minsang Kim et al.   Remote Sensing

Prediction of a typhoon track using a generative adversarial network and satellite images

(2019) Mario Rüttgers et al.   Scientific Reports

Prediction of Tropical Cyclone Genesis from Mesoscale Convective Systems Using Machine Learning

(2019) Tao Zhang et al.   WEATHER AND FORECASTING

Artificial neural network-based storm surge forecast model: Practical application to Sakai Minato, Japan

(2019) Sooyoul Kim et al.   APPLIED OCEAN RESEARCH

A hybrid approach of artificial neural network and multiple regression to forecast typhoon rainfall and groundwater-level change

(2019) Ping-Cheng Hsieh et al.   HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES

Knowledge-enhanced deep learning for simulation of tropical cyclone boundary-layer winds

(2019) Reda Snaiki et al.   JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS

A Climatological Analysis of Tropical Cyclone Rapid Intensification in Environments of Upper-Tropospheric Troughs

(2019) Michael S. Fischer et al.   MONTHLY WEATHER REVIEW

Study on Wind Simulations Using Deep Learning Techniques during Typhoons: A Case Study of Northern Taiwan

(2019) Chih-Chiang Wei   Atmosphere

Tropical Cyclone Intensity Estimation Using Multi-Dimensional Convolutional Neural Networks from Geostationary Satellite Data

(2019) Juhyun Lee et al.   Remote Sensing

A Deep Learning Algorithm of Neural Network for the Parameterization of Typhoon-Ocean Feedback in Typhoon Forecast Models

(2018) Guo-Qing Jiang et al.   GEOPHYSICAL RESEARCH LETTERS

Could Machine Learning Break the Convection Parameterization Deadlock?

(2018) P. Gentine et al.   GEOPHYSICAL RESEARCH LETTERS

An Evaporation Duct Height Prediction Method Based on Deep Learning

(2018) Xiaoyu Zhu et al.   IEEE Geoscience and Remote Sensing Letters

Tropical Cyclone Intensity Estimation Using a Deep Convolutional Neural Network

(2018) Ritesh Pradhan et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

What is the Key Feature of Convection Leading up to Tropical Cyclone Formation?

(2018) Zhuo Wang   JOURNAL OF THE ATMOSPHERIC SCIENCES

A tropical cyclone similarity search algorithm based on deep learning method

(2018) Yu Wang et al.   ATMOSPHERIC RESEARCH

Rainfall from tropical cyclones: high-resolution simulations and seasonal forecasts

(2018) Wei Zhang et al.   CLIMATE DYNAMICS

Deep Learning with Multi-scale Feature Fusion in Remote Sensing for Automatic Oceanic Eddy Detection

(2018) Yanling Du et al.   Information Fusion

Deep learning to represent subgrid processes in climate models

(2018) Stephan Rasp et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Using Machine Learning to Parameterize Moist Convection: Potential for Modeling of Climate, Climate Change, and Extreme Events

(2018) Paul A. O'Gorman et al.   Journal of Advances in Modeling Earth Systems

Deep learning approach for detecting tropical cyclones and their precursors in the simulation by a cloud-resolving global nonhydrostatic atmospheric model

(2018) Daisuke Matsuoka et al.   Progress in Earth and Planetary Science

Objective estimation of tropical cyclone innercore surface wind structure using infrared satellite images

(2017) Changjiang Zhang et al.   Journal of Applied Remote Sensing

A Machine Learning Approach to Modeling Tropical Cyclone Wind Field Uncertainty

(2017) Thomas Loridan et al.   MONTHLY WEATHER REVIEW

Fuzzy neural network and LLE Algorithm for forecasting precipitation in tropical cyclones: comparisons with interpolation method by ECMWF and stepwise regression method

(2017) Ying Huang et al.   NATURAL HAZARDS

Parameterization of typhoon-induced ocean cooling using temperature equation and machine learning algorithms: an example of typhoon Soulik (2013)

(2017) Jun Wei et al.   OCEAN DYNAMICS

Deep Learning in Remote Sensing: A Comprehensive Review and List of Resources

(2017) Xiao Xiang Zhu et al.   IEEE Geoscience and Remote Sensing Magazine

Cluster Analysis of Tropical Cyclone Tracks over the Western North Pacific Using a Self-Organizing Map

(2016) Han-Kyoung Kim et al.   JOURNAL OF CLIMATE

On the Predictability and Error Sources of Tropical Cyclone Intensity Forecasts

(2016) Kerry Emanuel et al.   JOURNAL OF THE ATMOSPHERIC SCIENCES

A prediction scheme for the frequency of summer tropical cyclone landfalling over China based on data mining methods

(2016) Huantong Geng et al.   METEOROLOGICAL APPLICATIONS

Seasonal prediction of tropical cyclone activity over the north Indian Ocean using three artificial neural networks

(2016) Sankar Nath et al.   METEOROLOGY AND ATMOSPHERIC PHYSICS

Variable Selection for Tropical Cyclogenesis Predictive Modeling

(2016) Jasper S. Wijnands et al.   MONTHLY WEATHER REVIEW

An efficient artificial intelligence model for prediction of tropical storm surge

(2016) M. Reza Hashemi et al.   NATURAL HAZARDS

A real-time forecast model using artificial neural network for after-runner storm surges on the Tottori coast, Japan

(2016) Sooyoul Kim et al.   OCEAN ENGINEERING

Detection of tropical cyclone genesis via quantitative satellite ocean surface wind pattern and intensity analyses using decision trees

(2016) Myung-Sook Park et al.   REMOTE SENSING OF ENVIRONMENT

Improvements in Typhoon Intensity Change Classification by Incorporating an Ocean Coupling Potential Intensity Index into Decision Trees*,+

(2016) Si Gao et al.   WEATHER AND FORECASTING

Probabilistic Forecasts of Mesoscale Convective System Initiation Using the Random Forest Data Mining Technique

(2016) David Ahijevych et al.   WEATHER AND FORECASTING

Probabilistic wind speed forecasting on a grid based on ensemble model output statistics

(2015) Michael Scheuerer et al.   Annals of Applied Statistics

A Statistical Analysis of the Effects of Vertical Wind Shear on Tropical Cyclone Intensity Change over the Western North Pacific

(2015) Yuqing Wang et al.   MONTHLY WEATHER REVIEW

Probabilistic Multiple Linear Regression Modeling for Tropical Cyclone Intensity

(2015) Chia-Ying Lee et al.   MONTHLY WEATHER REVIEW

Deep learning

(2015) Yann LeCun et al.   NATURE

A review of tropical cyclone-generated storm surges: Global data sources, observations, and impacts

(2015) Hal F. Needham et al.   REVIEWS OF GEOPHYSICS

Discriminating Developing versus Nondeveloping Tropical Disturbances in the Western North Pacific through Decision Tree Analysis

(2015) Wei Zhang et al.   WEATHER AND FORECASTING

Forecasting surface wind speeds over offshore islands near Taiwan during tropical cyclones: Comparisons of data-driven algorithms and parametric wind representations

(2015) Chih-Chiang Wei   JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES

Optimized Tropical Cyclone Winds From QuikSCAT: A Neural Network Approach

(2014) Bryan W. Stiles et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

A time-dependent surrogate model for storm surge prediction based on an artificial neural network using high-fidelity synthetic hurricane modeling

(2014) Seung-Woo Kim et al.   NATURAL HAZARDS

Improving the Operational Methodology of Tropical Cyclone Seasonal Prediction in the Australian and the South Pacific Ocean Regions

(2014) J. S. Wijnands et al.   Advances in Meteorology

Is Tropical Cyclone Intensity Guidance Improving?

(2013) Mark DeMaria et al.   BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY

The application of decision tree to intensity change classification of tropical cyclones in western North Pacific

(2013) Wei Zhang et al.   GEOPHYSICAL RESEARCH LETTERS

The Analysis of Tropical Cyclone Tracks in the Western North Pacific through Data Mining. Part II: Tropical Cyclone Landfall

(2013) Wei Zhang et al.   Journal of Applied Meteorology and Climatology

The Analysis of Tropical Cyclone Tracks in the Western North Pacific through Data Mining. Part I: Tropical Cyclone Recurvature

(2013) Wei Zhang et al.   Journal of Applied Meteorology and Climatology

Typhoon flood forecasting using integrated two-stage Support Vector Machine approach

(2013) Gwo-Fong Lin et al.   JOURNAL OF HYDROLOGY

Development of an effective data-driven model for hourly typhoon rainfall forecasting

(2013) Gwo-Fong Lin et al.   JOURNAL OF HYDROLOGY

Ensemble forecasting of typhoon rainfall and floods over a mountainous watershed in Taiwan

(2013) Ling-Feng Hsiao et al.   JOURNAL OF HYDROLOGY

An Evaluation of Tropical Cyclone Genesis Forecasts from Global Numerical Models

(2013) Daniel J. Halperin et al.   WEATHER AND FORECASTING

Cluster analysis of post-landfall tracks of landfalling tropical cyclones over China

(2012) Wei Zhang et al.   CLIMATE DYNAMICS

Application of Artificial Neural Networks on North Atlantic Tropical Cyclogenesis Potential Index in Climate Change

(2012) Zheng Ki Yip et al.   JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY

Intensity forecast of tropical cyclones over North Indian Ocean using multilayer perceptron model: skill and performance verification

(2012) Sutapa Chaudhuri et al.   NATURAL HAZARDS

Tropical cyclone track forecasting techniques ― A review

(2011) Chandan Roy et al.   ATMOSPHERIC RESEARCH

Cluster analysis of tropical cyclone tracks in the Southern Hemisphere

(2011) Hamish A. Ramsay et al.   CLIMATE DYNAMICS

Pattern Classification of Typhoon Tracks Using the Fuzzyc-Means Clustering Method

(2010) Hyeong-Seog Kim et al.   JOURNAL OF CLIMATE

Impacts of Ocean–Atmosphere Coupling on Tropical Cyclone Intensity Change and Ocean Prediction in the Australian Region

(2010) P. A. Sandery et al.   MONTHLY WEATHER REVIEW

Tropical cyclones and climate change

(2010) Thomas R. Knutson et al.   Nature Geoscience

Predictions of typhoon storm surge in Taiwan using artificial neural networks

(2009) Tsung-Lin Lee   ADVANCES IN ENGINEERING SOFTWARE

Warm ocean anomaly, air sea fluxes, and the rapid intensification of tropical cyclone Nargis (2008)

(2009) I.-I. Lin et al.   GEOPHYSICAL RESEARCH LETTERS

A hybrid neural network model for typhoon-rainfall forecasting

(2009) Gwo-Fong Lin et al.   JOURNAL OF HYDROLOGY

Do tropical cyclones intensify by WISHE?

(2009) Michael T. Montgomery et al.   QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY

Effective forecasting of hourly typhoon rainfall using support vector machines

(2009) Gwo-Fong Lin et al.   WATER RESOURCES RESEARCH

A Revised Tropical Cyclone Rapid Intensification Index for the Atlantic and Eastern North Pacific Basins

(2009) John Kaplan et al.   WEATHER AND FORECASTING

Tropical Cyclone Damages in China 1983–2006

(2008) Qiang Zhang et al.   BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY

Clustering of eastern North Pacific tropical cyclone tracks: ENSO and MJO effects

(2008) Suzana J. Camargo et al.   GEOCHEMISTRY GEOPHYSICS GEOSYSTEMS

Support vector regression methodology for storm surge predictions

(2008) S. Rajasekaran et al.   OCEAN ENGINEERING

Back-propagation neural network for the prediction of the short-term storm surge in Taichung harbor, Taiwan

(2007) Tsung-Lin Lee   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE