[ESIP-all] Fwd: IS-GEO Telecon - "How Warm is it Getting?" and Other Tales in Uncertainty Quantification - Tuesday, October 3rd at 12pm PT

[Annie Burgess]

Hi all -

Following on our fantastic panel at the 2017 ESIP Summer Meeting around
uncertainty, I'd like to pass along an upcoming telecon with invited
speaker Juan M Restrepo "How Warm is it Getting?" and Other Tales in
Uncertainty Quantification."

The telecon is being hosted by IS-GEO, a community that aims to support an
emerging community of researchers in geosciences (GEO) and intelligent
systems (IS). This research coordination network will enable advances in
our understanding of Earth systems  through innovative applications of
intelligent and information systems to fundamental geosciences problems.

AB
*.*
Annie Burgess, PhD
ESIP Lab DirectoR |Earth Science Information Partners (*ESIP*)
www http://esipfed.org | phone 585.738.7549

---------- Forwarded message ---------
From: Daniel Garijo <dgarijo at isi.edu>
Date: Tue, Sep 26, 2017 at 4:31 AM
Subject: [Is-geo] REMINDER: Join the monthly IS-GEO Telecon - Tuesday,
October 3rd at 12pm PT
To: <is-geo at mailman.isi.edu>


Hello IS-GEO Researchers,

*Next week, on Tuesday, October 3rd* we will host the 6th IS-GEO monthly
teleconference call. You can find the links for the call in numbers and
online portion of the call at the end of this message.

Call topics will include updates on the IS-GEO network activities and
opportunities to participate. The invited speaker, *Dr Juan M. Restrepo*,
will present "How Warm is it Getting?" and Other Tales in Uncertainty
Quantification

You can find an Agenda for the call here: https://docs.google.com/
document/d/1GiYFKJ2SzjK9wRaLCPqPe-YltJJ0M8uqv-ei247CHgw/
<https://docs.google.com/document/d/1GiYFKJ2SzjK9wRaLCPqPe-YltJJ0M8uqv-ei247CHgw/edit?usp=sharing>

We look forward to talking with you all and catching up on network events
and news together!
Daniel
-----------------
*AGENDA*

Brief Welcome and General Updates (Suzanne Pierce – 5 minutes)

Update IS/GEO RCN collaborative publications (Imme Ebert-Uphoff – 5 minutes)

Updates on IS-GEO Paper (Yolanda)

Events, Conferences, and News: (Suzanne Pierce)

Upcoming Event(s):

   -

   AGU



Selected Topics from Working Groups:

   -

   EDUCATION:  (Suzanne / Imme / Deana)



   -

   CASES: (Imme / Deana)


Invited Presentation Series (30 minutes):



"How Warm is it Getting?" and Other Tales in Uncertainty Quantification
(Juan M Restrepo)

In the statistics community  “Big Data” science is meant to suggest the
combining of inferential and computational thinking.

We also speak of big data in the geosciences. However, the problems we
pursue are often  extreme in the number of degrees of freedom,   and in
many instances, non-stationary in its statistics. This usually  means that
we are working with sparse observational data sets, even  if the number of
observations is large. The Bayesian framework is  a natural inferential
data assimilation  strategy in  geosciences,  to some extent because the
degrees of freedom in the problem vastly  outnumber  observations but more
critically, because the models we use  to represent nature have
considerable predictive power.

Looking toward the future, we expect improvements in computational
efficiency and finer resolutions in models, as well as improved  field
measurements. This will force us to contend with  physics and statistics
across scales and thus to think of ways to couple multiphysics and
computational resolution,  as well as to  develop  efficient methods for
adaptive statistics and statistical marginalization.

How this coupling is exploited to improve estimates that combine model
outcomes and data will be described in tracking hurricanes and  improving
the prediction of the time and place of coastal flooding due to ocean
swells. Estimating the trend of Earth’s  temperature from sparse
 multi-scale data will be used as an example of adaptivity in time series
analysis.

Other open challenges in non-stationary big data problems will be
described,  where progress could result from “Big Data Geoscience,” the
tighter integration  of geoscience,  computation, and inference.

Call Connection Information:

Link:

https://zoom.us/meeting/675166710/ics?icsToken=
d689d9bd24f5ff5141eb5119a3d8216a8f953c5eb01b33665a2afe8f3898439f

Join from PC, Mac, Linux, iOS or Android: https://zoom.us/j/675166710

Or iPhone one-tap (US Toll):  +14086380968 <+1%20408-638-0968>,675166710#
or +16465588656 <+1%20646-558-8656>,675166710#

Or Telephone:

    Dial: +1 408 638 0968 <+1%20408-638-0968> (US Toll) or +1 646 558 8656
<+1%20646-558-8656> (US Toll)

    Meeting ID: 675 166 710

    International numbers available: https://zoom.us/zoomconference?m=z_
Ou3c1kmecPqLel21HI1i6xG-N0X73n



Upcoming Call Dates:

    Oct 3, 2017 2:00 PM - Speaker: Juan M. Restrepo

    Nov 6, 2017 2:00 PM - Speaker: Victor Pankratius
_______________________________________________
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http://mailman.isi.edu/mailman/listinfo/is-geo
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twitter.com/PopePolar

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