MeetingOfInterest:Meeting-371
San Francisco California, United States
08 - 08 December 2019
This is a CSDMS related meeting
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Deadlines
Abstract submission: The abstract submission deadline has passed Registration: Registration is now closed
Official website
Meeting contact
Mark Piper
Meeting related to
Terrestrial WG
Coastal WG Marine WG EKT WG Cyber WG Hydrology FRG Carbonates and Biogenics FRG Chesapeake FRG Critical Zone FRG Geodynamics FRG Human Dimensions FRG Ecosystem Dynamics FRG Coastal Vulnerability Ini. Continental Margin Ini. Other |
CSDMS Full Day Workshop at AGU 2019 Fall Meeting (registration is through the AGU Fall Meeting Registration Page) December 8th, 2019 San Francisco, CA
Instructors: Irina Overeem and Mark Piper, University of Colorado, Boulder, CO Nicole Gasparini, Tulane University, LA Andrew Ashton, Woodshole Oceanographic Institute, MA
Predicting long-term Earth surface change or the impacts of short-term natural hazards requires computational models. Many existing numerical models quantitatively describe sediment transport processes, predicting terrestrial and coastal change at a variety of scales. However, these models often address a single process or component of the earth surface system.
The Community Surface Dynamics Modeling System (CSDMS) is an NSF-funded initiative that supports the open software efforts of the surface processes community. CSDMS distributes >200 models and tools and provides cyberinfrastructure to simulate lithosphere, hydrosphere, atmosphere or cryosphere dynamics. Many of the most exciting problems in these fields arise at the interfaces of different environments and through complex interactions of processes.
This workshop presents recent cyberinfrastructure tools for hypothesis-driven modeling – the CSDMS Python Modeling Toolkit (pymt) and Landlab. Pymt allows users to interactively run and couple numerical models contributed by the community. There are already tools for coastal and permafrost modeling, stratigraphic and subsidence modeling, and terrestrial landscape evolution modeling (including hillslope, overflow, landslide processes and a suite of erosions processes with vegetation interactions) and these are easy to run and further develop in a Python environment.
The full-day tutorial aims to provide a short overview of the CSDMS pymt and Landlab, a demonstration of running a coupled model and hands-on exercises using Jupyter notebooks in small groups of attendees. The organizers will facilitate breakout groups for discussion of pressing research needs and then have a plenary discussion with reports of each of the breakouts on future frontier applications of coupled landscape process modeling.
Draft Agenda 8:30 - 9:00 welcome and introduction
9:00-9:30 overview of coupled modeling; why is it needed? examples and where do we want to go?
9:30-10:00 break-out groups: guided inventory of ideas and participants
10-10:30 break
10:30-12:30 basic tutorials Landlab and PyMT. Hands-on examples of hypothesis-driven modeling and visualization in Jupyter notebooks
12:30-1:30 lunch
1:30 - 2:30 breakout groups guided inventory of ideas with PyMT and Landlab as a modeling toolkits
2:30-4:00 more advanced tutorials Landlab and PyMT. Hands-on examples of coupled modeling in Jupyter notebooks, demonstration of uncertainty quantification
4:00-5:00 Plenary discussion on state-of-the art research frontiers, where can hypothesis-driven modeling go next?
Register through AGU Fall Meeting Registration page: https://www.agu.org/Fall-Meeting/Pages/Plan-Fall-Meeting/#0Terrestrial WG, Coastal WG, Marine WG, EKT WG, Cyber WG, Hydrology FRG, Carbonates and Biogenics FRG, Chesapeake FRG, Critical Zone FRG, Geodynamics FRG, Human Dimensions FRG, Ecosystem Dynamics FRG, Coastal Vulnerability Ini., Continental Margin Ini., Other
