[Esip-infoquality] Fwd: [AGU 2017] Validation, Verification, and Uncertainty Quantification (VVUQ) in Earth and Space Sciences and Decision Making

[Moroni, David F (398G)]

FYI, Apologies for any cross-posting.

Cheers,
David


Begin forwarded message:

From: "Boening, Carmen (329C)" <Carmen.Boening at jpl.nasa.gov<mailto:Carmen.Boening at jpl.nasa.gov>>
Date: July 25, 2017 at 12:05:40 PM EDT
To: "Boening, Carmen (329C)" <Carmen.Boening at jpl.nasa.gov<mailto:Carmen.Boening at jpl.nasa.gov>>, "Braverman, Amy J (398L)" <Amy.J.Braverman at jpl.nasa.gov<mailto:Amy.J.Braverman at jpl.nasa.gov>>, "Limonadi, Daniel (313F)" <daniel.limonadi at jpl.nasa.gov<mailto:daniel.limonadi at jpl.nasa.gov>>, Maggie Johnson <majohnso at iastate.edu<mailto:majohnso at iastate.edu>>
Subject: [AGU 2017] Validation, Verification, and Uncertainty Quantification (VVUQ) in Earth and Space Sciences and Decision Making

Dear Colleagues,

Apologies for any cross posting.  We are pleased to announce NG013 (Session ID 26303) on Validation, Verification, and Uncertainty Quantification (VVUQ) in Earth and Space Sciences and Decision Making at the 2017 Fall American Geophysical Union meeting on December 11-15, 2017 in New Orleans, Louisiana.
 https://agu.confex.com/agu/fm17/preliminaryview.cgi/Session26303

We would like to invite you to submit an abstract for this Earth and Space Science Informatics session.  AGU 2017 Abstract submission is available at https://fallmeeting.agu.org/2017/abstract-submissions/.  The Deadline for abstract submission is August 2, 2017 (23:59 EDT).
NG013:
Validation, Verification, and Uncertainty Quantification (VVUQ) in Earth and Space Sciences and Decision Making

Session ID#: 26303

Session Description:
VVUQ is an interdisciplinary research area that seeks to understand and quantify uncertainty flows through computational systems. Validation concerns how well computational outputs represent reality. Verification concerns how well mathematical formulas are represented in computational code. Uncertainty quantification is a set of tools and formalisms for quantifying sources and subsequent flows of uncertainty from all sources that affect the reliability of the output. In Earth and Space sciences this is especially important because outputs are often estimates used to test scientific hypotheses or make decisions that pose risk. This session invites talks from all areas of Earth and Space sciences that describe methods or conclusions from studies of: complex predictive scientific or decision support models; inverse problems including geophysical retrievals; the use of data assimilation as a means of UQ, or the subject of it; and current approaches that informally address VVUQ.
Primary Convener:  Carmen Boening, NASA Jet Propulsion Laboratory, Pasadena, CA, United States
Conveners:  Daniel Limonadi1, Amy J Braverman1 and Maggie Johnson2, (1)NASA Jet Propulsion Laboratory, Pasadena, CA, United States(2)Iowa State University, Ames, IA, United States

Cross-Listed:

  *   EP - Earth and Planetary Surface Processes
  *   GC - Global Environmental Change
  *   IN - Earth and Space Science Informatics

Index Terms:

1620 Climate dynamics<https://agu.confex.com/agu/fm17/preliminaryview.cgi/start?words=1620> [GLOBAL CHANGE]
1622 Earth system modeling<https://agu.confex.com/agu/fm17/preliminaryview.cgi/start?words=1622> [GLOBAL CHANGE]
1990 Uncertainty<https://agu.confex.com/agu/fm17/preliminaryview.cgi/start?words=1990> [INFORMATICS]
4430 Complex systems<https://agu.confex.com/agu/fm17/preliminaryview.cgi/start?words=4430> [NONLINEAR GEOPHYSICS]

Hope to see you there!
Carmen, Amy, Daniel, Maggie
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