[pccgrads] Reminder: "A Vast Machine", part II: Wednesday this week!
ngoldens at uw.edu
Mon May 1 11:41:02 PDT 2017
There's still time to do some reading the next couple of nights in
preparation for our concluding discussion of "A Vast Machine" on *Wednesday
at 1:30pm*. See below for more on which chapters to look at.
Let's meet up for this on the back deck of Solstice.
If you could let me know if you'll be joining us I can try to get there
early and get an appropriate size space.
On Thu, Apr 13, 2017 at 11:15 AM, Naomi Goldenson <ngoldens at uw.edu> wrote:
> We will continue our discussion of "A Vast Machine" on *May 3rd at 1:30pm*.
> To focus the discussion a bit more, let's all skip to Chapter 13 - the end
> (~the last 100 pages). This is the part on climate data and what it can say
> about the future, just to entice you.
> Back in the fall, our discussion focused on the first 5 chapters, which
> are mostly history. If you're just joining now, you might enjoy Chapter 1
> which frames a lot of what follows. Then you'd skip/skim the intervening
> chapters on history of atmospheric observations and models, followed by
> some that discuss data issues with global datasets.
> Location: TBD. Perhaps out back at Solstice if it's nice out. Perhaps in
> ATG, where I've reserved a room in case.
> *Description: "A Vast Machine: Computer Models, Climate Data, and the
> Politics of Global Warming"
> *Global warming skeptics often fall back on the argument that the
> scientific case for global warming is all model predictions, nothing but
> simulation; they warn us that we need to wait for real data, "sound
> science." In A VastMachine Paul Edwards has news for these skeptics:
> without models, there are no data. Today, no collection of signals or
> observations -- even from satellites, which can "see" the whole planet with
> a single instrument -- becomes global in time and space without passing
> through a series of data models. Everything we know about the world's
> climate we know through models. Edwards offers an engaging and innovative
> history of how scientists learned to understand the atmosphere -- to
> measure it, trace its past, and model its future.*
> On Mon, Apr 10, 2017 at 12:55 PM, Naomi Goldenson <ngoldens at uw.edu> wrote:
>> Hi folks,
>> I know that a bunch of you were waiting anxiously to hear when we would
>> finish discussing "A Vast Machine", and now, just when you'd given up, I'm
>> here to see if anyone would still like to do this?
>> So, to gauge interest, please fill out this poll as though it represents
>> a generic week this quarter, and then we'll try to pick a time if there's
>> After this we could do another book, so think on that too.
Department of Atmospheric Sciences
University of Washington
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