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Determination of Cloud-top Height through Three-dimensional Cloud Reconstruction using DIWATA-1 Data.
Ellison Castro1,2, Tetsuro Ishida3, Yukihiro Takahashi4
1Faculty of Science, Hokkaido University, Sapporo, Japan. eccastro@stamina4space.upd.edu.ph.
Scientific Reports
|May 7, 2020
Summary
DIWATA-1 microsatellite data enabled sophisticated 3D cloud models using stereo-photogrammetry. This overcomes limitations in traditional cloud-top height estimation for severe weather detection.
Area of Science:
- Earth and Space Science
- Meteorology
- Remote Sensing
Background:
- Cloud-top height is crucial for understanding severe weather and is widely used in meteorological research.
- Existing estimation methods face observational and analytical constraints, limiting their effectiveness.
Purpose of the Study:
- To overcome limitations in cloud-top height estimation using DIWATA-1 microsatellite data.
- To produce sophisticated three-dimensional cloud models via stereo-photogrammetry.
Main Methods:
- Utilized high-temporal (200-ms interval) stereo-imaging of clouds over Iloilo, Philippines.
- Employed two telescope resolutions (~60-m and ~3-m ground sampling) to construct 3D cloud models with 40-m and 2-m vertical resolutions.
- Validated results using cloud-edge heights derived from ground shadow distances and compared with HIMAWARI-8 satellite data.
Main Results:
- Successfully generated 3D cloud models with detailed vertical resolutions.
- Achieved Root Mean Square Error (RMSE) of 0.32 km and a maximum difference of 0.03 km with low- and high-resolution telescopes, respectively.
- Demonstrated an average vertical difference of 0.15 km and a maximum difference of 1.7 km when compared to HIMAWARI-8 data.
Conclusions:
- DIWATA-1 microsatellite data and stereo-photogrammetry offer a viable solution for accurate 3D cloud modeling.
- This method enhances cloud-top height estimation, aiding in severe weather prediction and meteorological research.
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