Significant waveheight retrieval from SAR imagery in typhoon megi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

We present in this work the application and validation of a parameterization function to compute significant wave height (SWH) distributions from SAR derived wind speed maps in tropical cyclones. These SWHs are compared against computations by three different models and in situ measurements of two wave buoys. The parameterization function itself is only based on fetch and duration with relation to the storms center. Due to this relation, we see a high wind distribution dependency within our results. Nevertheless, this approach can be used to tune already existing ocean wave parameter estimations, which directly the SWH from the radar backscatter.

Original languageEnglish (US)
Title of host publication2017 IEEE International Geoscience and Remote Sensing Symposium
Subtitle of host publicationInternational Cooperation for Global Awareness, IGARSS 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1542-1545
Number of pages4
Volume2017-July
ISBN (Electronic)9781509049516
DOIs
StatePublished - Dec 1 2017
Event37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017 - Fort Worth, United States
Duration: Jul 23 2017Jul 28 2017

Other

Other37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017
CountryUnited States
CityFort Worth
Period7/23/177/28/17

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Keywords

  • Synthetic Aperture Radar
  • Tropical Cyclones
  • Wave Retrieval

ASJC Scopus subject areas

  • Computer Science Applications
  • Earth and Planetary Sciences(all)

Cite this

Werkmeister, A., Romeiser, R., & Graber, H. C. (2017). Significant waveheight retrieval from SAR imagery in typhoon megi. In 2017 IEEE International Geoscience and Remote Sensing Symposium: International Cooperation for Global Awareness, IGARSS 2017 - Proceedings (Vol. 2017-July, pp. 1542-1545). [8127263] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IGARSS.2017.8127263