Spatial Retrievals of Atmospheric Carbon Dioxide from Satellite Observations

Spatial Retrievals of Atmospheric Carbon Dioxide from Satellite Observations

Modern remote-sensing retrievals often invoke a Bayesian approach to infer atmospheric properties from observed radiances. In this approach, plausible mean states and variability for the quantities of interest are encoded in a prior distribution. Recent developments have devised prior assumptions fo...

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Bibliographic Details
Main Authors: Jonathan Hobbs, Matthias Katzfuss, Daniel Zilber, Jenný Brynjarsdóttir, Anirban Mondal, Veronica Berrocal
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Remote Sensing
Subjects:
OCO-2
OCO-3
carbon dioxide
retrieval techniques
spatial correlation
inverse modeling
Online Access:https://www.mdpi.com/2072-4292/13/4/571

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