By: Niels Jørgen Kruse (nj_kruse.delete@this.me.com), January 23, 2017 11:41 pm
Room: Moderated Discussions
Aaron Spink (aaronspink.delete@this.notearthlink.net) on January 23, 2017 7:01 pm wrote:
> Niels Jørgen Kruse (nj_kruse.delete@this.me.com) on January 22, 2017 12:16 pm wrote:
> > In weather prediction, you do ensemble runs anyway.
> >
> >
>
> Because it is a statistical model, but now you have to do backup runs for each of your
> ensemble runs because you don't know how out of whack they got from memory errors.
> In any reasonable sized super, you are going to have daily/hourly memory errors.
It would be more rational to increase the ensemble. It doesn't matter why any particular run deviates from the majority.
> Niels Jørgen Kruse (nj_kruse.delete@this.me.com) on January 22, 2017 12:16 pm wrote:
> > In weather prediction, you do ensemble runs anyway.
> >
> >
>
> Because it is a statistical model, but now you have to do backup runs for each of your
> ensemble runs because you don't know how out of whack they got from memory errors.
> In any reasonable sized super, you are going to have daily/hourly memory errors.
It would be more rational to increase the ensemble. It doesn't matter why any particular run deviates from the majority.
