Jannes Münchmeyer
@jannes_munch
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@MSCActions Postdoctoral fellow @ISTerre_fr | Exploring earthquakes, tremors and slow slipping in the wild | he/him
Joined October 2008
Low-frequency earthquakes are essential markers for understanding slow fault deformation. Can we detect them in an automatic manner? Münchmeyer et al. can do it with their novel deep-learning detector that does not require prior knowledge of the region: https://t.co/ntaP1BOELp
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SeisBench v0.7 is out with low-frequency earthquake detection, new OBS detection data and models, new data from Texas, and the ability to pick a day of waveforms in less than 1 second! Thanks to all contributors of this large feature release! https://t.co/YKfkJX65RF
github.com
Major updates SeisBench now features a model for low-frequency earthquake (LFE) detection and three LFE stack datasets. The model can be plugged into regular earthquake detection workflows just as...
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Another #SPINFridaySeminar, with @jannes_munch from @ISTerre_fr @UGrenobleAlpes giving a talk on “SeisBench and PyOcto: Lessons learned from building open source software for seismology” https://t.co/zU2AQ0jG8F
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DepthPhaseTEAM and DepthPhaseNet are two deep learning models that can help scientists better constrain depth of seismic sources. @jannes_munch, Joachim Saul and @f_tilmann of @GFZ_Potsdam present these models in this new #SRL paper. https://t.co/RgGR6VFGj2
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What a great surprise to find my own work behind the door of an Advent calendar. Thanks for the nice highlight! 🎄🎁
🎄 Advent Day 6! Heard of Machine Learning pickers, but wouldn’t know where to start? 🤔 Never fear, #SeisBench is here! On this #WisdomWednesday, we would like to highlight SeisBench...check out SeisBench via the link below...#SeismoAdvent #EGUSM
https://t.co/9b1WPUzRxH
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SeisBench v0.5.0 is out with new models, new datasets, new features, and performance improvements. Thanks to all contributors! Got a contribution for machine learning in seismology for v0.6? Submit a PR on Github! https://t.co/MBIo4NPnWe
github.com
Major updates SeisBench now comes with two models for teleseismic depth phase picking and depth estimation. DepthPhaseNet and DepthPhaseTEAM allow to identify the depth of teleseismic events throu...
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As I'm about to start my #MSCA Postdoctoral Fellowship at @ISTerre_fr , I'm a big fan of Adam's project.
Because I’m about to start my #MSCA Postdoctoral Fellowship with @VCarryOn1 at @IHSM_CSIC_UMA I decided to visit some places related to Marie Skłodowska-Curie life. I will be posting with information about this great woman under #followingMSC stay tuned
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Ready for cloud seismology? Krauss et al. provide tutorials for code migration to cloud platforms, delving into the benefits (cost-effectiveness, speed, on-demand access) & challenges (learning curve) of this transformative approach. Read more: https://t.co/ZBnU0R3D3i
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Comienza el seminario "From earthquakes to LFEs: How machine learning helps understanding the seismic spectrum (in subduction zones)", con el investigador de @ISTerre Jannes Münchmeyer(@jannes_munch)
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Tomorrow at 12:00 (Chilean time) @jannes_munch from @ISTerre_fr will give us a seminar at the @Dgf_uchile of the @uchile 👇🌎 @AnneSocquet @UGrenobleAlpes
¿Cómo aplicar inteligencia artificial para comprender el espectro sísmico en zonas de subducción? Esta es la propuesta del seminario que este viernes 11 de agosto ofrecerá el investigador de @ISTerre_fr Jannes Münchmeyer📌Info: https://t.co/9MHp8SVw8g
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MLAAPDE: A Machine Learning Dataset for Determining Global Earthquake Source Parameters #SRL The Machine Learning Asset Aggregation of the Preliminary Determination of Epicenters (MLAAPDE) is designed to enable rapid development of #ML models. https://t.co/JneLa5CY5J
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Another great benchmark dataset for machine learning in seismology. Thanks for making it compatible with SeisBench!
Ni et al. collected and curated 21 years of seismic network data analysis in the Pacific Northwest of the U.S., and produced the first AI-ready benchmark seismic dataset to include non-earthquake signals and analyst-verified data attributes. More details: https://t.co/BRp7iUZAd9
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Want to learn and exchange about Subduction Zone Processes in an awsome setting? Post-graduate School will be held in Cargese (Corsica) 7-13 October 2023. Pre-registration is now open:
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Pierre Romanet demonstrates that there is no significant planet/sun alignment or moon effect on the occurrence of large earthquakes. Therefore it cannot be used to provide short-term earthquake prediction Read more: https://t.co/dJ31jZJJk9
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Great collaboration with Thomas Bornstein, Dietrich Lange, Jack Woollam, Andreas Rietbrock, @Grace_Bee__, Ingo Grevemeyer and @f_tilmann.
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Try it our in SeisBench v0.4.0. Just use "pip install seisbench" or find further details at
github.com
SeisBench - A toolbox for machine learning in seismology - seisbench/seisbench
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New preprint and new SeisBench release are out! We've added ocean-bottom seismometer data and models to SeisBench. They can be used just as the land-based models but can use hydrophone data and show clear picking performance improvements. https://t.co/bn9Ym5dA30
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Congrats @jannes_munch for winning the Adlershof dissertation award. https://t.co/ido22vOYpe. Jannes did a great job presenting his research into rupture predictability and earthquake early warning using Deep-Learning to non-specialists. @GFZ_Potsdam @heibrids @Geo_X_
gfz.de
Jannes Münchmeyer has been awarded the Adlershof Dissertation Prize for his doctoral thesis on the topic of earthquake early warning.
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Perfect weather today for starting my postdoc at @ISTerre_fr with @AnneSocquet. Let's find some LFEs!
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au revoir #statsei12. now off to Sardinia to digest the inspiring thoughts and discussions we've had 👋🏻
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