EVA Visualization Critique
October 4, 2013

WebEx
https://edss.webex.com/edss/j.php?ED=235607402&UID=1661752677&PW=NMTg2YjdhOWUy&RT=MiMxMQ%3D%3D 

Teleconference:
Toll Free Number:  866-703-9626  
Pass Code:  767574 

Participants:  Aritra Dasgupta, Enrico Bertini, Bill Hargrove, Debbie Huntzinger,Yaxing Wei, Bob Cook, Jorge Poco,
Dan Ricciuto, 

Not able to participate:  Steve Aulenbach,  Claudio Silva, Forrest Hoffman,  Anna Michalak, Christopher Schwalm, 

Agenda
1.  EVA face to face meeting - Bob 
2.  Visualization Critique and Best Practices - Aritra and Claudio
3.  other Topics


Notes
1.  EVA face to face Working Group Meeting
Tamaya Hyatt Hotel, Santa Ana Pueblo, NM
    Meeting Topics
   * EVA Update
   * Model Intercomparison:  Analysis and Visualization Framework
   * Quantitative tools to evaluate similarity of data (models and observations)
   * Critical analysis of climate visualization methods and Best Practices for complex visualization     
   * Joint with Provenance Working Group 
     * Update on PBase and Prov WG’s future plan
     * Climate scientists’ needs on capturing and using provenance
   * Model Benchmarking Approach and Methods
   * MsTMIP Advanced Visualization of Model-Model Intercomparison

Should we set up a Google Hangouts for those who cannot travel to the WG meeting?

2.  Visualization Critique and Visualization Best Practices - Aritra and Claudio
    - Goal:     
    - critically evaluate maps, scatter plots, and line plots from existing papers 
    - categorize the types of issues found and place into a taxonomy
    - develop better charts that convey the same intent, but are more pleasing visually
    - devise a list of best practices for visualizaing data that can be used by carbon modelers
    
    - Describe the methodology of the study in Aritra's manuscript
    - Describe the taxonomy of design problems
    - Pick a few example figures from existing literatures, apply the above taxonomy to identify their problems, propose improvement solutions, and ask feedbacks from climate scientists (agree or disagree)