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This paper presents the official release of the Digital Typhoon dataset, the longest typhoon satellite image dataset for 40+ years aimed at benchmarking machine learning models for long-term spatio-temporal data.
Tropical Cyclone Intensity Analysis and Forecasting from Satellite Imagery
Vernon F. Dvorak · 1975
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Understanding and Forecasting Tropical Cyclone Intensity Change with the Typhoon Intensity Prediction Scheme (TIPS)
Patrick J. Fitzpatrick · 1997
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The development of typhoon image database with content-based search
Asanobu KITAMOTO · 2000
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The construction of typhoon image collection and its application to typhoon analysis
Asanobu KITAMOTO and Kinji ONO · 2000
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Evolution Map: Modeling State Transition of Typhoon Image Sequences by Spatio-Temporal Clustering
Asanobu Kitamoto · 2002
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Spatio-Temporal Data Mining for Typhoon Image Collection
Asanobu Kitamoto · 2002
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Typhoon Analysis and Data Mining with Kernel Methods
Asanobu Kitamoto · 2002
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Digital typhoon: Near real-time aggregation, recombination and delivery of typhoon-related information
Asanobu KITAMOTO · 2005
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Can We Detect Trends in Extreme Tropical Cyclones?
Christopher W. Landsea, Bruce A. Harper, Karl Hoarau, and John A. Knaff · 2006
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The Dvorak Tropical Cyclone Intensity Estimation Technique: A Satellite-Based Method that Has Endured for over 30 Years
Christopher Velden, Bruce Harper, Frank Wells, John L. Beven, Ray Zehr, Timothy Olander, Max Mayfield, Charles “Chip” Guard, Mark Lander, Roger Edson, Lixion Avila, Andrew Burton, Mike Turk, Akihiro Kikuchi, Adam Christian, Philippe Caroff, and Paul McCrone · 2006
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New global tropical cyclone data set from ISCCP B1 geostationary satellite observations
James P. Kossin · 2007
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The Advanced Dvorak Technique: Continued Development of an Objective Scheme to Estimate Tropical Cyclone Intensity Using Geostationary Infrared Satellite Imagery
Timothy L. Olander and Christopher S. Velden · 2007
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Scientific data stewardship of international satellite cloud climatology project B1 global geostationary observations
Kenneth R. Knapp · 2008
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The International Best Track Archive for Climate Stewardship (IBTrACS): Unifying Tropical Cyclone Data
Kenneth R. Knapp, Michael C. Kruk, David H. Levinson, Howard J. Diamond, and Charles J. Neumann · 2010
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Tropical cyclones and climate change
Thomas R. Knutson, John L. McBride, Johnny Chan, Kerry Emanuel, Greg Holland, Chris Landsea, Isaac Held, James P. Kossin, A. K. Srivastava, and Masato Sugi · 2010
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Cyclone intensity estimation using similarity of satellite IR images based on histogram matching approach
Neeru Jaiswal, C. M. Kishtawal, and P. K. Pal · 2012
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Trend Analysis with a New Global Record of Tropical Cyclone Intensity
James P. Kossin, Timothy L. Olander, and Kenneth R. Knapp · 2013
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The Impact of Best Track Discrepancies on Global Tropical Cyclone Climatologies using IBTrACS
Carl J. Schreck, Kenneth R. Knapp, and James P. Kossin · 2014
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Machine Learning in Tropical Cyclone Forecast Modeling: A Review
Rui Chen, Weimin Zhang, and Xiang Wang · 2020
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Deep-PHURIE: deep learning based hurricane intensity estimation from infrared satellite imagery
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Tropical Cyclone Intensity Estimation Using Multi-Dimensional Convolutional Neural Networks from Geostationary Satellite Data
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Recent increases in tropical cyclone intensification rates
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