History, Status, and Prospects of Remote Sensing in the Field of Meteorological Satellite in Korea

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Abstract

Remote sensing through meteorological satellites plays an essential role in monitoring hazardous weather conditions, providing critical data for numerical weather prediction, and contributing to climate change studies. In Korea, research in this field began in the 1980s, with early efforts focused on utilizing foreign satellite data for weather forecasting. Significant advancements were made in the 2000s with the development of Korea’s first geostationary meteorological satellite, the Communication, Ocean, and Meteorological Satellite (COMS). This satellite marked a milestone in Korea’s independent satellite data processing and value-added product generation capabilities. The development of subsequent satellites, such as the Geo-KOMPSAT 2A (GK2A), introduced significant improvements in spatial, temporal, and spectral resolution, enabling the production of a wider array of satellite products. Furthermore, advancements in artificial intelligence, cloud computing, and data assimilation techniques have further broadened the application of satellite data, particularly in nowcasting, short-term forecasting, numerical weather prediction, and climate change monitoring. This paper reviews the historical evolution of Korea’s meteorological satellite systems, the development of data processing technologies, and the application of satellite data in various fields of meteorology and atmospheric sciences. Additionally, it explores future prospects, including the development of hybrid satellite systems and the increasing role of artificial intelligence in satellite data utilization.

Original languageEnglish
Pages (from-to)713-726
Number of pages14
JournalKorean Journal of Remote Sensing
Volume40
Issue number5
DOIs
StatePublished - Oct 2024

Bibliographical note

Publisher Copyright:
Copyright © 2024 Korean Society of Remote Sensing.

Keywords

  • Atmospheric sciences
  • COMS
  • GK2A
  • Meteorological satellite
  • Remote sensing

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