[CIG-ALL] CIG WEBINAR THIS WEEK: Statistical and computational challenges of constraining greenhouse gas budgets

Lorraine Hwang ljhwang at ucdavis.edu
Sun Mar 6 21:49:44 PST 2016

6 March 2016

Dear Community:

The continuation of our webinar series begins this month with a series of talks that apply uncertainty quantification (UQ) to address current problems in earth science research.  On Thursday March 10 @ 2pm PT, we are excited to have Anna Michalak, from the Carnegie Institution for Science, Stanford talking about her work understanding sources and sinks of greenhouse gases and why this is an inverse problem. 
Statistical and computational challenges of constraining greenhouse gas budgets

Anna Michalak, Carnegie Institution for Science

Predicting future changes to the global carbon cycle (and therefore climate) and quantifying anthropogenic emissions of greenhouse gases (GHGs) both require an understanding of net GHGs emissions and uptake across a variety of spatial and temporal scales.  This talk will explore some of the core scientific questions related to understanding GHG budgets through the lens of the statistical and computational challenges that arise.  The focus will be on the use of atmospheric observations, and applications will include the natural and anthropogenic components of the methane and carbon dioxide budgets.  The discussion will include issues related to the solution of spatiotemporal inverse problems, uncertainty quantification, data fusion, gap filling, and issues of “big data” arising from the use of satellite observations.

Connect <https://uc-d.adobeconnect.com/_a841422360/r28i3av93ti/> to webinar:



Lorraine Hwang, Ph.D.
Associate Director, CIG

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