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Advanced tsunami detection and forecasting by radar on unconventional airborne observing platforms
Sustaining an accurate, timely, and global tsunami forecast system remains a challenge for scientific communities. To this end, various viable geophysical monitoring devices have been deployed. However, it is difficult to implement new observation networks in other regions and maintaining the existi...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7016180/ https://www.ncbi.nlm.nih.gov/pubmed/32051457 http://dx.doi.org/10.1038/s41598-020-59239-1 |
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author | Mulia, Iyan E. Hirobe, Tomoyuki Inazu, Daisuke Endoh, Takahiro Niwa, Yoshihiro Gusman, Aditya Riadi Tatehata, Hidee Waseda, Takuji Hibiya, Toshiyuki |
author_facet | Mulia, Iyan E. Hirobe, Tomoyuki Inazu, Daisuke Endoh, Takahiro Niwa, Yoshihiro Gusman, Aditya Riadi Tatehata, Hidee Waseda, Takuji Hibiya, Toshiyuki |
author_sort | Mulia, Iyan E. |
collection | PubMed |
description | Sustaining an accurate, timely, and global tsunami forecast system remains a challenge for scientific communities. To this end, various viable geophysical monitoring devices have been deployed. However, it is difficult to implement new observation networks in other regions and maintaining the existing systems is costly. This study proposes a new and complementary approach to monitoring the tsunami using existing moving platforms. The proposed system consists of a radar altimeter, Global Navigation Satellite Systems receiver, and an adequate communication link on airborne platforms such as commercial airplanes, drones, or dedicated high-speed aircraft, and a data assimilation module with a deterministic model. We demonstrated, through twin-data experiment, the feasibility of the proposed system in forecasting tsunami at the Nankai Trough of Japan. Our results demonstrated the potential of an airborne tsunami observation as a viable future technology through proxy observations and rigorous numerical experiments. The wide coverage of the tsunamigenic regions without a new observation network is an advantage while various regulatory constraints need to be overcome. This study offered a novel perspective on the developments in tsunami detection and forecasting technology. Such multi-purpose observation using existing platforms provides a promising and practical solution in establishing sustainable observational networks. |
format | Online Article Text |
id | pubmed-7016180 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-70161802020-02-21 Advanced tsunami detection and forecasting by radar on unconventional airborne observing platforms Mulia, Iyan E. Hirobe, Tomoyuki Inazu, Daisuke Endoh, Takahiro Niwa, Yoshihiro Gusman, Aditya Riadi Tatehata, Hidee Waseda, Takuji Hibiya, Toshiyuki Sci Rep Article Sustaining an accurate, timely, and global tsunami forecast system remains a challenge for scientific communities. To this end, various viable geophysical monitoring devices have been deployed. However, it is difficult to implement new observation networks in other regions and maintaining the existing systems is costly. This study proposes a new and complementary approach to monitoring the tsunami using existing moving platforms. The proposed system consists of a radar altimeter, Global Navigation Satellite Systems receiver, and an adequate communication link on airborne platforms such as commercial airplanes, drones, or dedicated high-speed aircraft, and a data assimilation module with a deterministic model. We demonstrated, through twin-data experiment, the feasibility of the proposed system in forecasting tsunami at the Nankai Trough of Japan. Our results demonstrated the potential of an airborne tsunami observation as a viable future technology through proxy observations and rigorous numerical experiments. The wide coverage of the tsunamigenic regions without a new observation network is an advantage while various regulatory constraints need to be overcome. This study offered a novel perspective on the developments in tsunami detection and forecasting technology. Such multi-purpose observation using existing platforms provides a promising and practical solution in establishing sustainable observational networks. Nature Publishing Group UK 2020-02-12 /pmc/articles/PMC7016180/ /pubmed/32051457 http://dx.doi.org/10.1038/s41598-020-59239-1 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 Mulia, Iyan E. Hirobe, Tomoyuki Inazu, Daisuke Endoh, Takahiro Niwa, Yoshihiro Gusman, Aditya Riadi Tatehata, Hidee Waseda, Takuji Hibiya, Toshiyuki Advanced tsunami detection and forecasting by radar on unconventional airborne observing platforms |
title | Advanced tsunami detection and forecasting by radar on unconventional airborne observing platforms |
title_full | Advanced tsunami detection and forecasting by radar on unconventional airborne observing platforms |
title_fullStr | Advanced tsunami detection and forecasting by radar on unconventional airborne observing platforms |
title_full_unstemmed | Advanced tsunami detection and forecasting by radar on unconventional airborne observing platforms |
title_short | Advanced tsunami detection and forecasting by radar on unconventional airborne observing platforms |
title_sort | advanced tsunami detection and forecasting by radar on unconventional airborne observing platforms |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7016180/ https://www.ncbi.nlm.nih.gov/pubmed/32051457 http://dx.doi.org/10.1038/s41598-020-59239-1 |
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