A cloud top-height retrieval algorithm using simultaneous observations from the Himawari-8 and FY-2E satellites

Jonghyuk Lee, Dong Bin Shin, Chu Yong Chung, Jae Gwan Kim

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)

Abstract

In this paper, we introduce a cloud top-height (CTH) retrieval algorithm using simultaneous observations from the Himawari-8 and FengYun (FY)-2E geostationary (GEO) satellites (hereafter, dual-GEO CTH algorithm). The dual-GEO CTH algorithm estimates CTH based on the parallax, which is the difference in the apparent position of clouds observed from two GEO satellites simultaneously. The dual-GEOCTHalgorithm consists of four major procedures: (1) image remapping, (2) image matching, (3) CTH calculation, and (4) quality control. The retrieved CTHs were compared with other satellite CTHs from the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) and the Cloud-Profiling Radar (CPR), on three occasions. Considering the geometric configuration and footprint sizes of the two GEO satellites, the theoretical accuracy of the dual-GEO CTH algorithm is estimated as ±0.93 km. The comparisons show that the retrieval accuracy generally tends to fall within the theoretical accuracy range. As the dual-GEO CTH algorithm is based on parallax, it could be easily applied for the estimation of the height of any elevated feature in various fields.

Original languageEnglish
Article number1953
JournalRemote Sensing
Volume12
Issue number12
DOIs
Publication statusPublished - 2020 Jun 1

Bibliographical note

Publisher Copyright:
© 2020 by the authors.

All Science Journal Classification (ASJC) codes

  • General Earth and Planetary Sciences

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