Transcript TASK ONE: Form a group • If you are in rows 1, 3, or 5 – please turn around and face the row.

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?
• Share one personal experience you
have had with extreme weather
TASK THREE: Orange Cards
Why is it important to have highresolution 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.
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
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
TASK FOUR: How can we do it better?
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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?
LUNCH!!!!!!
Thank you