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.
Bibliographical noteFunding Information:
This work was supported by project titled 'Technical development on satellite data application for operational weather service' and funded by the National Meteorological Satellite Center (NMSC) of the Korea Meteorological Administration (KMA). The authors would like to thank the editor and anonymous reviewers for their helpful comments and suggestions to improve the quality of the paper. The authors also thank the employees at China Meteorological Administration (for FY-2E), Electronics Telecommunications Research Institute (for Himawari-8), National Aeronautics Space Administration (for CALIOP and CPR), and Japan Meteorological Administration (for Himawari-8 CTH) for providing the satellite data.
Funding: This work was supported by project titled ‘Technical development on satellite data application for operational weather service’ and funded by the National Meteorological Satellite Center (NMSC) of the Korea Meteorological Administration (KMA).
© 2020 by the authors.
All Science Journal Classification (ASJC) codes
- Earth and Planetary Sciences(all)