Working Groups Annual Meeting 2023

Environmental System Science (ESS) Working Groups Annual Meeting

Hybrid Meeting - May 15, 2023

Agenda

9:00-9:10 Welcome, orientation to goals, structure of the meeting
9:10-9:30 Cyberinfrastructure Working Group flash talks
  • Data Management
  • Data-Model Integration
  • Software Engineering and Interoperability
  • Computing Infrastructure
  • Highlights from the Questionnaire
9:30-10:30 Project Updates
  • ESS-DIVE (Charu Varadharajan)
  • IDEAS-Watersheds Phase 2 (David Moulton)
  • ORNL WaDE SFA (Eric Pierce)
  • ESGF (Forrest Hoffman)
  • Spring Hackathons
    • ELM (Forrest Hoffman, Xingyuan Chen, Dan Ricciuto)
    • ILAMB (Jitu Kumar)
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. Add your questions and comments to the google doc.
  • Programs and Community
    1. Kerstin Kleese Van Dam (BNL) - Progress of the BERAC subcommittee charged with recommending a strategy for a Unified Data Infrastructure for BER
    2. Cristina Negri (ANL) - Introduction to the National Virtual Climate Laboratory
  • Data Management: beyond observations to integration
    1. Jean Andino (ASU) - Southwest Integrated Field Laboratory (SW- IFL) Data Generation and Management
    2. Roelof Versteeg (Subsurface Insights) - ODMX: An information model and associated cyberinfrastructure for effective management and use of project centric multi domain geoscience data
    3. Kelly Wrighton (CSU) Progress on the GROW database leveraging ICON for the River Corridor SFA.
    4. Kjiersten Fagnan (LBNL) - Managing your metadata with the National Microbiome Data Collaborative
  • ModEx
    1. Tim Scheibe (PNNL) - An ICON-ModEx approach to understand variability of river respiration at continental scale
    2. Ben Bond-Lamberty (PNNL) - COMPASS-FME: leveraging measurements, models, and cyberinfrastructure to understand and predict coastal ecosystem state changes
  • AI/ML
    1. Scott Painter (ORNL) - ExaSheds: Combining Machine Learning and Data-Intensive Simulations to Advance Watershed System Science
    2. Pamela Weisenhorn (ANL) - Methane: A case study for advancing earth system predictability with AI
  • Tools
    1. Ethan Coon (ORNL) - Watershed Workflow: integrating data and models through semi-automated, self-documenting workflows
    2. Shreyas Cholia (LBNL) - Interactive Supercomputing With Jupyter
12:00-1:30 Lunch
  • In-person, form small groups and head out to local restaurants. A list of local restaurants within walking distance will be provided.
  • Online, escape but don’t forget to come back :-)
1:30-3:00 Group Discussion
(Leads: Xingyuan Chen, Danielle Christianson, and Terri Velliquette)
  • Synthesize flash talks, collect feedback, community funds, prepare for breakouts.
3:00-3:15 Break
3:15-4:45 Breakouts: Round Robin over three key topics
Participants will visit each topic for ~30 min. The topic leads will take 3 minutes to introduce the topic and suggest themes for discussion.
  • Data (Leads: Joan Damerow, Ben Sulman)
    • Room: Old Georgetown
    • Data Management supporting integration in ModEx, including 1) model inputs: types of data, data standards and metadata, gap filling, normalization and access, and 2) model outputs: formats, archiving and use in experimental design
  • Models (Leads: Ethan Coon, Charu Varadharajan)
    • Room: Congressional
    • Exploring the various types of watershed and ecosystem models, from phenomenological to process-based, their different roles and data needs and how best to use this broad range of models to address different scientific questions at different scales.
  • ModEx (Integration) (Leads: Tim Scheibe, Forrest Hoffman)
    • Room: Diplomat/Ambassador
    • Exploring the ModEx cycle, what role(s) you and your data and models play, opportunities for integration and key challenges to effectively iterating around the complete cycle.
4:45-5:00 Break
5:00-5:30 Wrap-up/What’s next