Digital Typhoon Dataset
1. IDENTIFICATION INFORMATION
Name

Digital Typhoon Dataset

DOI

doi:10.20783/DIAS.664 [https://doi.org/10.20783/DIAS.664]

Metadata
Identifier

DigitalTyphoon20231105235443-DIAS20221121113753-en

2. CONTACT
2.1 CONTACT on DATASETNameAsanobu KITAMOTO

Organization

National Institute of Informatics

Address

2-1-2, Hitotsubashi, Chiyoda-ku, Tokyo, 101-8430, Japan

E-mailkitamoto@nii.ac.jp

2.2 CONTACT on PROJECT
2.2.1 Data Integration and Analysis System
Name

DIAS Office

Organization

Japan Agency for Marine-Earth Science and Technology

Address

3173-25, Showa-Cho, Kanazawa-ku, Yokohama-shi, Kanagawa, 236-0001, Japan

E-maildias-office@diasjp.net

3. DOCUMENT AUTHOR
Name

Asanobu KITAMOTO

Organization

National Institute of Informatics

E-mailkitamoto@nii.ac.jp

4. DATASET CREATOR
Name

Asanobu KITAMOTO

Organization

National Institute of Informatics

E-mailkitamoto@nii.ac.jp

5. DATE OF THIS DOCUMENT
2023-11-05

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6. DATE OF DATASET
�creation : 2023-11-05

7. DATASET OVERVIEW
7.1 Abstract
The "Digital Typhoon Dataset" is a dataset of meteorological satellite images and the best trackof typhoons in the Northwest Pacific basin. The meteorological satellite imagery is created frominfrared imagery (11 micrometers) from geostationary meteorological satellites Himawari 1 to 9
by a map projection (Lambert azimuthal equal-area) of a 1250 km radius centered on the typhoon.
The best track is created from the best track data published by the Japan Meteorological Agency
by interpolating it into hourly data. As of October 2023, it consists of 189364 images for 1099
typhoons from 1978 to 2022 and will be updated annually. This is a particularly useful dataset formachine learning, and the official dataset page explains its use for machine learning.

7.2 Topic Category(ISO19139)
�climatologyMeteorologyAtmosphere

7.3 Temporal Extent
Begin Date

1978

End Date

Under Continuation

Temporal
Characteristics

Hourly7.4 Geographic Bounding Box
Northlatitudebound 70West
longitudebound 100

Eastboundlongitude

180

South
latitudebound 0

7.5 Grid
7.6 Geographic Description
7.7 Keywords
7.7.1 Keywords on Dataset

2

Keyword Type

Keyword

KeywordName

thesaurus

theme

ATMOSPHERIC PROCESSES > Tropical meteorology

AGU

theme

Earth Observation Satellites > GEOSTATIONARY SATELLITESGCMD_platform

theme

Weather, Disasters, Climate

GEOSS

disciplinemachine learning

No_Dictionary

7.7.2 Keywords on Project
7.7.2.1 Data Integration and Analysis SystemKeyword TypeKeyword

KeywordNamethesaurus

theme

DIAS &amp;gt; Data Integration and Analysis System

No_Dictionary

7.8 Online Resource�Official page of the "Digital Typhoon Dataset" : http://agora.ex.nii.ac.jp/digital-typhoon/
dataset/�File download : https://data.diasjp.net/dl/storages/filelist/dataset:664

7.9 Data Environmental Information
7.10 Distribution Information
nameversion

HDF55CSV

RFC 4180

specification

8. DATA PROCESSING
8.1 Data Processing (1)8.1.1 General Explanation of the data producer's knowledge about thelineage of a dataset
8.1.2 Data Source
Data Source Citation Name

Description of derived parameters and processingtechniques used

9. DATA REMARKS
10. DATA POLICY3

10.1 Data Policy by the Data Provider
10.2 Data Policy by the Project
10.2.1 Data Integration and Analysis System
If data provider does not have data policy, DIAS Terms of Service (https://diasjp.net/en/terms/)
and DIAS Privacy Policy (https://diasjp.net/en/privacy/) apply.
If there is a conflict between DIAS Terms of Service and data provider's policy, the data provider'spolicy shall prevail.

11. LICENSE
CC-BY 4.0 : Creative Commons Attribution 4.0 International
creativecommons.org/licenses/by/4.0/][https://12. DATA SOURCE ACKNOWLEDGEMENT
12.1 Acknowledge the Data Provider
The attribution of the dataset required for the CC BY license is as follows.
Digital Typhoon dataset (National Institute of Informatics) doi: https://doi.org/10.20783/DIAS.664

12.2 Acknowledge the Project
12.2.1 Data Integration and Analysis System
If you plan to use this dataset for a conference presentation, paper, journal article, or reportetc., please include acknowledgments referred to following examples. If the data provider describes
examples of acknowledgments, include them as well.
" In this study, [Name of Dataset] provided by [Name of Data Provider] was utilized. This dataset
was also collected and provided under the Data Integration and Analysis System (DIAS), which wasdeveloped and operated by a project supported by the Ministry of Education, Culture, Sports, Scienceand Technology. "13. REFERENCES
Asanobu KITAMOTO, Jared HWANG, Bastien VUILLOD, Lucas GAUTIER, Yingtao TIAN, Tarin CLANUWAT,"Digital Typhoon: Long-term Satellite Image Dataset for the Spatio-Temporal Modeling of TropicalCyclones", NeurIPS 2023 Datasets and Benchmarks (Spotlight), 2023

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