Nima Nooshiri
2020-12-18 12:14:54
Dear colleagues,
The virtual EGU General Assembly 2021 (vEGU21: Gather Online) will take place on 19–30 April 2021. The deadline for abstract submission is 13th January 2021. We would like to draw your attention to the following session:
SM3.2 - New seismic data analysis methods for automatic characterization of seismicity
https://meetingorganizer.copernicus.org/EGU21/session/39309
Abstract: In the last two decades the number of high quality seismic instruments being installed around the world has grown exponentially and probably will continue to grow in the coming decades. This led to a dramatic increase in the volume of available seismic data and pointed out the limits of the current standard routine seismic analysis, often performed manually by seismologists. Exploiting this massive amount of data is a challenge that can be overcome by using new generation, fully automated and noise-robust seismic processing techniques. In the last years waveform-based detection and location methods have grown in popularity and their application have dramatically improved seismic monitoring capability. Moreover, machine learning techniques, which are dedicated methods for data-intensive applications, are showing promising results in seismicity characterization applications opening new horizons for the development of innovative, fully automated and noise-robust seismic analysis methods. Such techniques are particularly useful when working with data sets characterized by large numbers of weak events with low signal-to-noise ratio, such as those collected in induced seismicity, seismic swarms and volcanic monitoring operations. This session aims on bringing to light new methods and also optimizations of existing approaches that make use of High Performance Computing resources (CPU, GPU) and can be applied to large data sets, either retro-actively or in (near) real-time, to characterize seismicity (i.e. perform detection, location, magnitude and source mechanism estimation) at different scales and in different environments. We thus encourage contributions that demonstrate how the proposed methods help improve our understanding of earthquake and/or volcanic processes.
All presentations this year will run in the vPICO format consisting of a 2-minute presentation by the author followed by a breakout webinar for further chats and discussion. Here, you can find more information about vPICOs and the vEGU21 format in general: https://egu21.eu/about/provisional_format_of_egu21.html
We cordially invite you to submit your abstracts at this session and looking forward to receiving your contributions.
Wishing you all a Happy New Year,
Nima, Natalia, Simone, Federica, Francesco
The virtual EGU General Assembly 2021 (vEGU21: Gather Online) will take place on 19–30 April 2021. The deadline for abstract submission is 13th January 2021. We would like to draw your attention to the following session:
SM3.2 - New seismic data analysis methods for automatic characterization of seismicity
https://meetingorganizer.copernicus.org/EGU21/session/39309
Abstract: In the last two decades the number of high quality seismic instruments being installed around the world has grown exponentially and probably will continue to grow in the coming decades. This led to a dramatic increase in the volume of available seismic data and pointed out the limits of the current standard routine seismic analysis, often performed manually by seismologists. Exploiting this massive amount of data is a challenge that can be overcome by using new generation, fully automated and noise-robust seismic processing techniques. In the last years waveform-based detection and location methods have grown in popularity and their application have dramatically improved seismic monitoring capability. Moreover, machine learning techniques, which are dedicated methods for data-intensive applications, are showing promising results in seismicity characterization applications opening new horizons for the development of innovative, fully automated and noise-robust seismic analysis methods. Such techniques are particularly useful when working with data sets characterized by large numbers of weak events with low signal-to-noise ratio, such as those collected in induced seismicity, seismic swarms and volcanic monitoring operations. This session aims on bringing to light new methods and also optimizations of existing approaches that make use of High Performance Computing resources (CPU, GPU) and can be applied to large data sets, either retro-actively or in (near) real-time, to characterize seismicity (i.e. perform detection, location, magnitude and source mechanism estimation) at different scales and in different environments. We thus encourage contributions that demonstrate how the proposed methods help improve our understanding of earthquake and/or volcanic processes.
All presentations this year will run in the vPICO format consisting of a 2-minute presentation by the author followed by a breakout webinar for further chats and discussion. Here, you can find more information about vPICOs and the vEGU21 format in general: https://egu21.eu/about/provisional_format_of_egu21.html
We cordially invite you to submit your abstracts at this session and looking forward to receiving your contributions.
Wishing you all a Happy New Year,
Nima, Natalia, Simone, Federica, Francesco
