Hi Katy,

Oops, sorry. Should be more careful.

Best regards,
Hari



On Mon, Jun 3, 2013 at 10:39 AM, Katy Huff <notifications@github.com> wrote:

> In papers/harinarayan_krishnan/krishnan.rst:
>
> > +the climate scientists, and statisticians, it became clear that a more
> > +flexible framework where aribtrary analyses could be easily scripted
> > +and experimented with would prove valuable.  It would also make it
> > +easier for scientists to collaborate, verify various techniques, and
> > +make reproducibility much more easy.
> > +
> > +Figure :ref:`fig:ExtremeValues` shows estimated 20-year annual return
> > +values that would occur once every 20 years on average, using
> > +Generalized Extreme Value, and Peaks-over-Threshold, respectively. The
> > +analyses were done on an ensemble of two CAM5.1 control runs over the
> > +period of 1959-2007 of daily precipitation.
> > +
> > +These analyses required a kernel to be executed at each spatial
> > +location using precpitation values over all of the time steps. This
> > +was supported using the API call
> > +\textbf{ForEachLocation(user-kernel)}. The VisIt infrastructure will
>
> Excellent.
>
>    - Katy (no 'h' please)
>
> —
> Reply to this email directly or view it on GitHub<https://github.com/scipy/scipy_proceedings/pull/64/files#r4504852>
> .
>