Radiative Transfer Speed-Up Combining Optimal Spectral Sampling With a Machine Learning Approach

Radiative Transfer Speed-Up Combining Optimal Spectral Sampling With a Machine Learning Approach

The Orbiting Carbon Observatories-2 and -3 make space-based measurements in the oxygen A-band and the weak and strong carbon dioxide (CO2) bands using the Atmospheric Carbon Observations from Space (ACOS) retrieval. Within ACOS, a Bayesian optimal estimation approach is employed to retrieve the colu...

Full description

Bibliographic Details
Main Authors: Steffen Mauceri, Christopher W. O’Dell, Gregory McGarragh, Vijay Natraj
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-07-01
Series:Frontiers in Remote Sensing
Subjects:
radiative transfer
machine learning
optimal estimation (OE)
speed-up
OCO-2 retrievals
Online Access:https://www.frontiersin.org/articles/10.3389/frsen.2022.932548/full

Internet

https://www.frontiersin.org/articles/10.3389/frsen.2022.932548/full

Similar Items