MOWLAS: NIED observation network for earthquake, tsunami and volcano
Abstract National Research Institute for Earth Science and Disaster Resilience (NIED) integrated the land observation networks established since the 1995 Kobe earthquake with the seafloor observation networks established since the 2011 Tohoku earthquake and tsunami as MOWLAS (Monitoring of Waves on...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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SpringerOpen
2020-09-01
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| Series: | Earth, Planets and Space |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s40623-020-01250-x |
| _version_ | 1818623280120070144 |
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| author | Shin Aoi Youichi Asano Takashi Kunugi Takeshi Kimura Kenji Uehira Narumi Takahashi Hideki Ueda Katsuhiko Shiomi Takumi Matsumoto Hiroyuki Fujiwara |
| author_facet | Shin Aoi Youichi Asano Takashi Kunugi Takeshi Kimura Kenji Uehira Narumi Takahashi Hideki Ueda Katsuhiko Shiomi Takumi Matsumoto Hiroyuki Fujiwara |
| author_sort | Shin Aoi |
| collection | DOAJ |
| description | Abstract National Research Institute for Earth Science and Disaster Resilience (NIED) integrated the land observation networks established since the 1995 Kobe earthquake with the seafloor observation networks established since the 2011 Tohoku earthquake and tsunami as MOWLAS (Monitoring of Waves on Land and Seafloor) in November 2017. The purpose of MOWLAS is to provide comprehensive, accurate, and rapid observation and monitoring of earthquake, tsunami, and volcano events throughout Japan and its offshore areas. MOWLAS data are widely utilized for long-term earthquake forecasting, the monitoring of current seismic activity, seismic and tsunami hazard assessments, earthquake early warning, tsunami warning, and earthquake engineering, as well as earthquake science. Ocean bottom observations provide an extension of observations to areas where no people are living and have the advantage of increasing lead time of earthquake early warning and tsunami warning. The application of recent technology advancements to real-time observations as well as the processing of MOWLAS data has contributed to the direct disaster mitigation of ongoing earthquakes. These observations are fundamental for both science and disaster resilience, and thus it is necessary to continue ceaseless operation and maintenance. |
| first_indexed | 2024-12-16T18:38:33Z |
| format | Article |
| id | doaj.art-fb23527c760b4b4d83a745243c1f67ac |
| institution | Directory Open Access Journal |
| issn | 1880-5981 |
| language | English |
| last_indexed | 2024-12-16T18:38:33Z |
| publishDate | 2020-09-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Earth, Planets and Space |
| spelling | doaj.art-fb23527c760b4b4d83a745243c1f67ac2022-12-21T22:21:08ZengSpringerOpenEarth, Planets and Space1880-59812020-09-0172113110.1186/s40623-020-01250-xMOWLAS: NIED observation network for earthquake, tsunami and volcanoShin Aoi0Youichi Asano1Takashi Kunugi2Takeshi Kimura3Kenji Uehira4Narumi Takahashi5Hideki Ueda6Katsuhiko Shiomi7Takumi Matsumoto8Hiroyuki Fujiwara9National Research Institute for Earth Science and Disaster ResilienceNational Research Institute for Earth Science and Disaster ResilienceNational Research Institute for Earth Science and Disaster ResilienceNational Research Institute for Earth Science and Disaster ResilienceNational Research Institute for Earth Science and Disaster ResilienceNational Research Institute for Earth Science and Disaster ResilienceNational Research Institute for Earth Science and Disaster ResilienceNational Research Institute for Earth Science and Disaster ResilienceNational Research Institute for Earth Science and Disaster ResilienceNational Research Institute for Earth Science and Disaster ResilienceAbstract National Research Institute for Earth Science and Disaster Resilience (NIED) integrated the land observation networks established since the 1995 Kobe earthquake with the seafloor observation networks established since the 2011 Tohoku earthquake and tsunami as MOWLAS (Monitoring of Waves on Land and Seafloor) in November 2017. The purpose of MOWLAS is to provide comprehensive, accurate, and rapid observation and monitoring of earthquake, tsunami, and volcano events throughout Japan and its offshore areas. MOWLAS data are widely utilized for long-term earthquake forecasting, the monitoring of current seismic activity, seismic and tsunami hazard assessments, earthquake early warning, tsunami warning, and earthquake engineering, as well as earthquake science. Ocean bottom observations provide an extension of observations to areas where no people are living and have the advantage of increasing lead time of earthquake early warning and tsunami warning. The application of recent technology advancements to real-time observations as well as the processing of MOWLAS data has contributed to the direct disaster mitigation of ongoing earthquakes. These observations are fundamental for both science and disaster resilience, and thus it is necessary to continue ceaseless operation and maintenance.http://link.springer.com/article/10.1186/s40623-020-01250-xMOWLASFundamental earthquake observation networkHi-netK-NETKiK-netF-net |
| spellingShingle | Shin Aoi Youichi Asano Takashi Kunugi Takeshi Kimura Kenji Uehira Narumi Takahashi Hideki Ueda Katsuhiko Shiomi Takumi Matsumoto Hiroyuki Fujiwara MOWLAS: NIED observation network for earthquake, tsunami and volcano Earth, Planets and Space MOWLAS Fundamental earthquake observation network Hi-net K-NET KiK-net F-net |
| title | MOWLAS: NIED observation network for earthquake, tsunami and volcano |
| title_full | MOWLAS: NIED observation network for earthquake, tsunami and volcano |
| title_fullStr | MOWLAS: NIED observation network for earthquake, tsunami and volcano |
| title_full_unstemmed | MOWLAS: NIED observation network for earthquake, tsunami and volcano |
| title_short | MOWLAS: NIED observation network for earthquake, tsunami and volcano |
| title_sort | mowlas nied observation network for earthquake tsunami and volcano |
| topic | MOWLAS Fundamental earthquake observation network Hi-net K-NET KiK-net F-net |
| url | http://link.springer.com/article/10.1186/s40623-020-01250-x |
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