Working Groups Annual Meeting 2024

Environmental System Science (ESS) Working Groups Annual Meeting

Hybrid Meeting - April 15, 2024

Participation

  • Virtual participation via Zoom.
  • In person participants will be in the main room for overview talks and the group discussions. Breakouts will be in physically separated rooms, with each breakout room connected to a corresponding breakout room in zoom.
  • A variety of online tools, including Google Docs and Jam boards will be used to ensure both in person and virtual participants can contribute effectively to the discussions and outcomes. In person participants are expected to bring a laptop to use online tools.

Agenda

8:00-9:00 Breakfast
9:00-9:10 Welcome, orientation to goals, structure of the meeting
9:10-9:30 Cyberinfrastructure Working Group flash talks (David Moulton)
  • Meeting Objectives
  • Data Management
  • Data-Model Integration
  • Software Engineering and Interoperability
  • Computing Infrastructure
9:30-10:30 ESS-DIVE Updates/Planning Discussion (Charu Varadharajan, Shreyas Cholia)
  • ESS-DIVE Feature Updates
  • Community Input on ESS-DIVE's Future
  • Discussion on Community Funds
10:30-10:45 Break
10:45-12:00 Flash talks: Communicating new, exciting CI capabilities and engaging the ESS community in shared CI needs (5+2 min). Add your questions and comments to the google doc.(Terri Velliquette)
  1. Pamela Weisenhorn (ANL) - Takeaways from the BERAC Unified Data Workshop and Diverse User Experiences
  2. Kjiersten Fagnan (JGI, LBNL) - JGI’s data citation explorer
  3. Satish Karra (PNNL) - EMSL capabilities
  4. Julia Masterman (CUASHI) - CUAHSI: A nonprofit water research support facility.
  5. Drew Huitt (OSTI) - DOE CODE: Assigning Software DOIs
  6. Stephanie Pennington (PNNL) - COMPASS-FME Sensor Data Management for Impactful Coastal Science Research.
  7. Tim Scheibe (PNNL) - ModEx adventures: AI, transferability, participatory science, and the scientific method.
  8. Roelof Versteeg (Subsurface Insights) and John Bargar (EMSL) Open source software for data fusion and analysis for systems biology and bioenergy.
  9. Youmi Oh (NOAA) - Harmonizing Natural Methane Datasets using Knowledge Guided Machine Learning
  10. Dipankar Dwivedi (LBNL) - Transferability in Earth System Science: Deep Learning for Diverse Environmental Conditions
  11. Nate Collier (ORNL) - intake-esgf: Programmatic Access to the Earth System Grid Federation (ESGF) Holdings
  12. Rich Fiorella (LANL) - NGEE Arctic ELM Workshop
12:00-12:45 Lunch
  • Continue informal collaborative discussions with participants.
12:45-1:45 Group Discussion: Generative AI tools and workflows (Co-Leads: David Moulton, Xingyuan Chen)
  • Jam board wish list
  • Panel sharing experiences and lessons learned
    • Tim Scheibe (PPNL - SFA co-lead)
    • Mike Heroux (SNL - IDEAS-ECP, ECP ST lead, Trilinos
    • Tasneem Ahmadullah (PNNL SFA postdoc)
    • Tyson L Swetnam, Edwin Skidmore (UofA, Cyverse Project)
  • Jam board what's next

Provide logistics and expectations for hands-on and breakout sessions.
1:45-3:15 Hands-on Sessions: (Concurrent)
  • Accessing HPC resources with Jupyter notebooks
    Co-leads: Lee Ann McCue, Kurt Maier & Ryan Dubina (COMPASS), Nick Tyler (NERSC) & Dani Cassol (JGI)
    • Jupyter notebook examples using the COMPASS-FME Sensor Data
  • ESS-DIVE Data reporting formats
    Co-leads: Emily Robles (ESS-DIVE), Joan Damerow (ESS-DIVE), Madison Burrus (ESS-DIVE)
    • Overview of ESS-DIVE reporting formats
    • Hands on session with the file-level metadata format
    • Incentives for adoption of formats in scientific workflows
3:15-3:30 Break
3:30-5:00 Breakouts: Round Robin over three key topics
Participants will visit each topic for ~30 min. The facilitators will take 3 minutes to introduce the topic and suggest themes for discussion.
  • Hypothesis Driven ModEx
    • Facilitators: Tim Scheibe, Eoin Brodie, Scott Painter
  • Model intercomparison studies beyond traditional benchmarking
    • Facilitators: Xingyuan Chen, Nate Collier, Jitu Kumar, ...
      • Quick demo of ILAMB capability for model intercomparison.
      • An open discussion to develop watershed intercomparison science cases and testbeds.
  • Modeling code management and packaging of model data
    • Facilitators: Charu Varadharajan, Drew Huitt, Zhi Li, ...
      • Current model data archiving guidelines
      • Archiving model outputs
      • Deciding to archive model codes as software vs. data
5:00-5:30 Wrap-up/What’s next