Remote sensing for improved forecast of typhoons

Yuei An Liou, Ji Chyun Liu, Fabrice Chane-Ming, Jing Shan Hong, Ching Yuang Huang, Po Kuan Chiang, Samuel Jolivet

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

8 Scopus citations


This chapter presents the advantages of remote sensing in various aspects of tropical cycles or typhoons for the purpose of improved forecasts. A variety of variables influencing the typhoons become our concerns and sequentially investigated. First of all, to effectively predict the rainfall associated with a landfalling typhoon, the ground-based Global Positioning System (GPS) zenith total delay is combined with Doppler radar data through data assimilation algorithms. Subsequently, discussions on a natural phenomenon of interactions among two typhoons with and without tropical depressions (TDs) are elaborated. Remote sensing imagery and image processing techniques are applied to analyze relevant interactions and physical responses, including TDs’ appearance, development, interaction and how they merge. Then, the application of remote sensing observational data in numerical modeling for the study of atmospheric gravity waves, especially during the occurrence of asymmetric tropical cyclones is presented. Finally, a brief introduction is given to the oceanic surface wind measurement from different satellites with already demonstrated or potential impacts on typhoon simulations and predictions. Note that atmospheric and oceanic parameters derived from observations of Global Navigation Satellite System (GNSS) receivers onboard low Earth orbit (LEO) satellites, i.e., FORMOSAT-3/COSMIC and to-be-launched FORMOSAT-7/COSMIC-2, are also discussed within the selected topics. The importance of implementing remote sensing technology in the investigation and forecast of typhoons is the conclusion.

Original languageEnglish
Title of host publicationRemote Sensing of the Asian Seas
PublisherSpringer International Publishing
Number of pages17
ISBN (Electronic)9783319940670
ISBN (Print)9783319940656
StatePublished - 1 Jan 2018


  • Atmospheric gravity wave GPS
  • Forecast
  • GNSS-R
  • Remote sensing
  • Typhoon


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