1. Long-term / Historical Data Archive and Data Rescue

Archiving long-term data about typhoons and meteorology is important for not only studying the past world or the change from the past to the present but also for predicting the future. But it is not a simple task to operate a long-term data archive. The archiving system needs flexibility to keep track of and being adaptive to the ever-lasting changes such as the change of data format, the improvement of data quality and the change of data collection methods. It is a critical problem to solve the problem of how to oranize and operation a sustainable data archive.

Data rescue is the process of digging up and preserving past data and reviving it as reusable data. In particular, digitizing paper materials in the past and converting them into reusable data is an essential task in the study of history. The "historical big data" built through such work will be a powerful tool for restoring the past world and studying its detail.

Below is the list of primary data that are archived in Digital Typhoon. This table highlights the diversity of data archived in an appropriate method for each data type.

Data Name Data Type Start Year
Geostationary meterological satellite "Himawari" image Image data 1978-
Typhoon track data 2-dimensional trajectory data 1951- (Western North Pacific), 1907- (Australia)
AMeDAS Data Sensor data 1976-
Weather radar data 2-dimensinoal observation data 1988-
Weather simulation data 3-dimensional grid data 2002-
Online news Textual data 2003-
Twitter data Textual data 2012-2020
Weather disaster reports Structured data 1971-
JMA Weather Bulletin XML Structured data 2012-
JMA weather charts Graphic data 1883-
Weather ledger Handwritten document 1878-1989
IBTrACS Database 2-dimensional trajectory data 1842-

2. Related pages

  1. Open Science
  2. Curation and open science in "Digital Typhoon": Issues toward a sustainable data platform
  3. IIIF for Natural Science Applications
  4. History of the Digital Typhoon Project