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Determination of Cloud-top Height through Three-dimensional Cloud Reconstruction using DIWATA-1 Data

Cloud-top height is a useful parameter with which to elucidate cloud vertical growth, which often indicates severe weather such as torrential rainfall and thunderstorms; it is widely used in meteorological research. However, general cloud-top height estimation methods are hindered by observational a...

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Autores principales: Castro, Ellison, Ishida, Tetsuro, Takahashi, Yukihiro, Kubota, Hisayuki, Perez, Gay Jane, Marciano, Joel S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7200711/
https://www.ncbi.nlm.nih.gov/pubmed/32371898
http://dx.doi.org/10.1038/s41598-020-64274-z
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author Castro, Ellison
Ishida, Tetsuro
Takahashi, Yukihiro
Kubota, Hisayuki
Perez, Gay Jane
Marciano, Joel S.
author_facet Castro, Ellison
Ishida, Tetsuro
Takahashi, Yukihiro
Kubota, Hisayuki
Perez, Gay Jane
Marciano, Joel S.
author_sort Castro, Ellison
collection PubMed
description Cloud-top height is a useful parameter with which to elucidate cloud vertical growth, which often indicates severe weather such as torrential rainfall and thunderstorms; it is widely used in meteorological research. However, general cloud-top height estimation methods are hindered by observational and analytical constraints. This study used data from DIWATA-1, the Philippines’ first microsatellite, to overcome these limitations and successfully produce sophisticated three-dimensional cloud models via stereo-photogrammetry. High-temporal snapshot 200-ms-interval imaging of clouds over Iloilo, Philippines, is performed. Two types of telescopes were used to capture 30 stereoscopic cloud images at ~60- and ~3-m ground sampling resolutions; these were used to construct three-dimensional cloud models with 40- and 2-m vertical resolutions, respectively. The imaged clouds have heights of 2.0 to 4.8 km, which is below freezing level for the Philippines and typical of stratocumulus and cumulus clouds. The results are validated using cloud-edge heights determined by measuring the distance from the clouds to their ground shadows. An RMSE of 0.32 km and a maximum difference of 0.03 km are found for the low- and high-resolution telescopes, respectively. For further validation, the results are compared with cloud-top heights estimated from HIMAWARI-8 images captured on the same day, yielding an average vertical difference of 0.15 km and a maximum difference of 1.7 km.
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spelling pubmed-72007112020-05-12 Determination of Cloud-top Height through Three-dimensional Cloud Reconstruction using DIWATA-1 Data Castro, Ellison Ishida, Tetsuro Takahashi, Yukihiro Kubota, Hisayuki Perez, Gay Jane Marciano, Joel S. Sci Rep Article Cloud-top height is a useful parameter with which to elucidate cloud vertical growth, which often indicates severe weather such as torrential rainfall and thunderstorms; it is widely used in meteorological research. However, general cloud-top height estimation methods are hindered by observational and analytical constraints. This study used data from DIWATA-1, the Philippines’ first microsatellite, to overcome these limitations and successfully produce sophisticated three-dimensional cloud models via stereo-photogrammetry. High-temporal snapshot 200-ms-interval imaging of clouds over Iloilo, Philippines, is performed. Two types of telescopes were used to capture 30 stereoscopic cloud images at ~60- and ~3-m ground sampling resolutions; these were used to construct three-dimensional cloud models with 40- and 2-m vertical resolutions, respectively. The imaged clouds have heights of 2.0 to 4.8 km, which is below freezing level for the Philippines and typical of stratocumulus and cumulus clouds. The results are validated using cloud-edge heights determined by measuring the distance from the clouds to their ground shadows. An RMSE of 0.32 km and a maximum difference of 0.03 km are found for the low- and high-resolution telescopes, respectively. For further validation, the results are compared with cloud-top heights estimated from HIMAWARI-8 images captured on the same day, yielding an average vertical difference of 0.15 km and a maximum difference of 1.7 km. Nature Publishing Group UK 2020-05-05 /pmc/articles/PMC7200711/ /pubmed/32371898 http://dx.doi.org/10.1038/s41598-020-64274-z Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Castro, Ellison
Ishida, Tetsuro
Takahashi, Yukihiro
Kubota, Hisayuki
Perez, Gay Jane
Marciano, Joel S.
Determination of Cloud-top Height through Three-dimensional Cloud Reconstruction using DIWATA-1 Data
title Determination of Cloud-top Height through Three-dimensional Cloud Reconstruction using DIWATA-1 Data
title_full Determination of Cloud-top Height through Three-dimensional Cloud Reconstruction using DIWATA-1 Data
title_fullStr Determination of Cloud-top Height through Three-dimensional Cloud Reconstruction using DIWATA-1 Data
title_full_unstemmed Determination of Cloud-top Height through Three-dimensional Cloud Reconstruction using DIWATA-1 Data
title_short Determination of Cloud-top Height through Three-dimensional Cloud Reconstruction using DIWATA-1 Data
title_sort determination of cloud-top height through three-dimensional cloud reconstruction using diwata-1 data
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7200711/
https://www.ncbi.nlm.nih.gov/pubmed/32371898
http://dx.doi.org/10.1038/s41598-020-64274-z
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