Jannes Münchmeyer (@jannes_munch) 's Twitter Profile
Jannes Münchmeyer

@jannes_munch

@MSCActions Postdoctoral fellow @ISTerre_fr | Exploring earthquakes, tremors and slow slipping in the wild | he/him

ID: 17019703

linkhttp://munchmeyer.de calendar_today28-10-2008 12:15:23

106 Tweet

325 Followers

199 Following

Frederik Tilmann (@f_tilmann) 's Twitter Profile Photo

Congrats Jannes Münchmeyer for winning the Adlershof dissertation award. gfz-potsdam.de/en/press/news/…. Jannes did a great job presenting his research into rupture predictability and earthquake early warning using Deep-Learning to non-specialists. GFZ @heibrids Geo.X Research Network

Seismica (@weareseismica) 's Twitter Profile Photo

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: seismica.library.mcgill.ca/article/view/5…

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: seismica.library.mcgill.ca/article/view/5…
Anne Socquet (@annesocquet) 's Twitter Profile Photo

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: cargese2023school.sciencesconf.org

SSA (@seismosocietyam) 's Twitter Profile Photo

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. doi.org/10.1785/022023…

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.

doi.org/10.1785/022023…
Geofísica UChile (@dgf_uchile) 's Twitter Profile Photo

Comienza el seminario "From earthquakes to LFEs: How machine learning helps understanding the seismic spectrum (in subduction zones)", con el investigador de irma Jannes Münchmeyer(Jannes Münchmeyer)

Comienza el seminario "From earthquakes to LFEs: How machine learning helps understanding the seismic spectrum (in subduction zones)", con el investigador de <a href="/ISTerre/">irma</a> Jannes Münchmeyer(<a href="/jannes_munch/">Jannes Münchmeyer</a>)
Seismica (@weareseismica) 's Twitter Profile Photo

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: seismica.library.mcgill.ca/article/view/9…

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) &amp; challenges (learning curve) of this transformative approach.

Read more: 
seismica.library.mcgill.ca/article/view/9…
Jannes Münchmeyer (@jannes_munch) 's Twitter Profile Photo

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! github.com/seisbench/seis…

SSA (@seismosocietyam) 's Twitter Profile Photo

DepthPhaseTEAM and DepthPhaseNet are two deep learning models that can help scientists better constrain depth of seismic sources. Jannes Münchmeyer, Joachim Saul and Frederik Tilmann of GFZ present these models in this new #SRL paper. buff.ly/3GD1uef

DepthPhaseTEAM and DepthPhaseNet are two deep learning models that can help scientists better constrain depth of seismic sources. <a href="/jannes_munch/">Jannes Münchmeyer</a>, Joachim Saul and <a href="/f_tilmann/">Frederik Tilmann</a> of <a href="/GFZ_Potsdam/">GFZ</a> present these models in this new #SRL paper. 

buff.ly/3GD1uef
spin_itn (@spin_itn) 's Twitter Profile Photo

Another #SPINFridaySeminar, with Jannes Münchmeyer from ISTerre Université Grenoble Alpes giving a talk on “SeisBench and PyOcto: Lessons learned from building open source software for seismology” youtube.com/watch?v=UoamY9…

Jannes Münchmeyer (@jannes_munch) 's Twitter Profile Photo

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! github.com/seisbench/seis…

Seismica (@weareseismica) 's Twitter Profile Photo

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: seismica.library.mcgill.ca/article/view/1…

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:
seismica.library.mcgill.ca/article/view/1…