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Activity Number: 450 - Quantitative Inference for the Global Carbon Cycle
Type: Invited
Date/Time: Wednesday, July 31, 2019 : 8:30 AM to 10:20 AM
Sponsor: Section on Statistics and the Environment
Abstract #300368 Presentation
Title: Obtaining Carbon Dioxide Flux Estimates from Atmospheric Inversions of Carbon Dioxide Data: Current Methodologies, Successes and Challenges
Author(s): Andrew Eugene Schuh*
Companies: Cooperative Institute for Research in the Atmosphere
Keywords: inversion; oco2; co2; assimilation; climate; atmosphere

The general Atmospheric Carbon Dioxide Flux Inversion problem will be explained as well as several current methodologies for addressing it. We will examine the basic assumptions underlying the Ensemble Kalman Filter (EnKF), variational (4DVar), and batch synthesis methods while discussing pros/cons of each method as it applies to trace gas inversion problems. An emphasis will be placed on potential areas of improvement and collaboration relevant to both the mathematical and statistical communities. We will also highlight recent results from a large NASA sponsored inter-comparison project utilizing both surface and satellite measurements while illustrating current and upcoming challenges for the community.

Authors who are presenting talks have a * after their name.

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