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TASK ONE: Form a group

TASK ONE: Form a group. If you are in rows 1, 3, or 5 – please turn around and face the row behind you Form groups of 4 to 5 people each. TASK TWO: Introduce yourself. Each person please share: What is your name? Where were you born? Where do you work now?

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TASK ONE: Form a group

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  1. TASK ONE: Form a group If you are in rows 1, 3, or 5 – please turn around and face the row behind you Form groups of 4 to 5 people each

  2. TASK TWO: Introduce yourself Each person please share: What is your name? Where were you born? Where do you work now? Share one personal experience you have had with extreme weather

  3. TASK THREE: Orange Cards Why is it important to have high-resolution climate information to you, in your work? Discuss as a group, and agree on top 3 answers Write answers on 3 orange cards, one idea per card Please number the cards. It will make Joe happy. Because he has to sort them.

  4. TASK THREE: Why are we doing this? Why is it important to have high-resolution climate information to you, in your work? Water supply assessment Connecting spatial scale of physical processes, orography and impacts to climate information Helps us improve scientific understanding of model credibility and better resolve physical processes How important IS this information anyways? Are we all wasting our time? Ecological assessment

  5. TASK FOUR: Green Cards What do you want to get out of this workshop and/or process? Each person individually write thoughts on 1 green card After writing, discuss with group Merge common ideas to come up with top 2-3 outcomes

  6. TASK FOUR: How can we do it better? A solid understnding of what’s important to document about downscaling Building a collborative network of producers and users of DS data What are the applications people want to use this DS data for? How do we build on this foundation (programmatic)? What’s a balance between downscaling vs. coupled model (global model) simulations? Community tool for model evaluation & linking with impact assessment models What are the end users looking for?? What should modellers provide? Not just data: translation also. And, what could help their colleagues? Evaluation of methods Near-term vs long-term needs: prioritization Collaborative software development in transparent environment How can we improve evaluation framework and standards How useful is what we’re doing to DWR or other federal/state agencies trying to provide data to users?

  7. LUNCH!!!!!! Thank you

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