Heading to the #CRESCENT meeting at U Washington! Thrilled to share more about our novel analytical approach/tool, pyCoreRelator, for semi-automated stratigraphic correlation & its applications to turbidite seismology research!
Tomorrow 10:15 am! HBGCC, room 217D
#GSA2025
This is a fairly new project, and pyCoreRelator did not exist before last December. We are just at the phase of manuscript(s) prep. More analyses were done for the remaining cores that don't have direct age constraints. So lots to compile!
Please stay tuned! Yet discussions are welcome anytime
not at the moment, but the current plan is to open source a polished version for general uses upon publication.
We do not attempt to say previous suggested correlation is entirely impossible. Instead we provide new method that everyone can reproduce exactly the same suite of optimal correlation solutions compatible with known age dates for each core pair, w/ metrics to show how "good/bad" these solutions are.
In short, only a small # of core pairs we’ve investigated can yielded correlation quality statistically better than coincidence. Most cores proximal to fans can't confidently yield synchronous bed-to-bed correlation based on available constraints.
This ongoing research is a collaborative effort, guided and supported by @zzsylvester.bsky.social and Jacob Covault from the @clasticslab.bsky.social at the Bureau of Economic Geology @txgeosciences.bsky.social, Joan Gomberg of the USGS, and Nora Nieminski of the AK DGGS.
𝒑𝒚𝑪𝒐𝒓𝒆𝑹𝒆𝒍𝒂𝒕𝒐𝒓 is designed to search out ALL plausible correlation solutions between core pairs, honoring known stratigraphic constraints (e.g., age, marker bed). It uses the Dynamic Time Warping algorithm to auto-align data and calculate signal similarity metrics.
Next week at the #GSA2025, I'll be presenting my newly developed Python tool, 𝒑𝒚𝑪𝒐𝒓𝒆𝑹𝒆𝒍𝒂𝒕𝒐𝒓. We apply it to quantitatively re-examine the correlatability of Cascadia deep-water turbidites, previously interpreted as synchronous deposits of paleo-earthquakes.
Abstract: lnkd.in/gJ_KHH2j
It was really fun to present in the SoftRock seminar at the @txgeosciences.bsky.social today, talking about early outcomes of this collaborative project with Prof. @xding.bsky.social. We are looking forward to sharing more in the GSA meeting in San Antonio, TX!
GSA abstract: lnkd.in/g9Aq9g5V
Pretty excited about this GSA short course! Welcome to sign up and please source to sink simulation!
Register link: store.geosociety.org/products/sc2...
We are happy to present our first volume with 10 original research articles as well as our editorial.
doi.org/10.59236/geo...
Thank you to Steven M. de Jong for providing a fantastic cover photo! If you have some research you're ready to publish, why not consider submitting to our second volume?
All modules & Landlab utilities come with example Jupyter Notebooks, runnable on Google Colab for free. We hope pyTopoComplexity enhances your research & teaching. Welcome any feedback!
github.com/GeoLarryLai/...
Our ESurf paper features a case study integrating field age controls with pyTopoComplexity to assess erosivity parameters, hillslope diffusivity (D) & channel erodibility (K), in a non-equalibrium landform and discuss their scale dependency. 🧵2/3
doi.org/10.5194/esur...
Introducing pyTopoComplexity:
A Python package for multiscale topographic complexity analysis. It talks to Landlab, leveraging landscape evolution modeling to study how surface complexity/roughness evolves in response to various processes. Install via pip or conda 🧵1/3
Check out our first editorial to learn more about @geomorphica.bsky.social !
doi.org/10.59236/geo...
Welcome any feedback, and thank you for continuing to support this journal! Some of our fellows will be at EGU for in-person discussions!
The second paper is ready. Congratulations to the authors including @earthshaker.bsky.social and big thank you for your contribution 🎉. Interested in publishing with and/or volunteering for Geomorphica? Check out our homepage geomorphica.org 💙
So proud to see the first @geomorphica.bsky.social paper published online! (more to come!) 🥳
Shout out to @weareseismica.bsky.social & PSU Libraries for their technical support that helped me setting up our article template! Watching a paper generate on my screen is so much fun! #DiamondOpenAccess
The brief history of meandering of the Rio Mamoré, Bolivia, as seen in Landsat data (playing with some new tools)
Big thank you to @geolarry.bsky.social who presented Geomorphica at this years AGU meeting. What a wonderful possibility to connect and exchange. Are you interested in joining the team? Let us know!
Just done an #AGU23 short talk on the #OpenScience session, representing @geomorphica.bsky.social Dimond Open Access Journal team. We welcome more submissions, signing up reviewer database, and getting involved! 🥳
If you are in SF today, we hope to see you in our pre-#AGU23 DOAJ workshop: tinyurl.com/DOAJWorkshop
Also, don’t forget tovisit us at our poster S11F-0333:
Monday, Dec 11 - 11:30 - 15:50,
Poster Hall A-C - South
agu.confex.com/agu/fm23/mee...
Big news in the publishing landscape of 🇨🇭
The Swiss National Science Foundation will no longer support publications in special issues. This is to fight the unsustainable models pushed by publishing houses like MDPI or Frontiers. There is another way. Go Diamond! 💎💎💎💎💎💎💎
www.snf.ch/en/g2ICvujLD...
If you are attending AGU, welcome to chat with me about my recent works (poster EP23D-1963) & come to the short talk (INV51D-09) that I will represent the team of @geomorphica.bsky.social, sharing the recent progress about the new DOAJ for geomorphology!
Geomorphica Logo
Hello new followers! Please repost so we can reach a much wider audience!
