An Efficient Algorithm for Retrieving CO2 in the Atmosphere From Hyperspectral Measurements of Satellites: Application of NLS-4DVar Data Assimilation Method

An Efficient Algorithm for Retrieving CO2 in the Atmosphere From Hyperspectral Measurements of Satellites: Application of NLS-4DVar Data Assimilation Method

A novel and efficient inverse method, named Nonlinear least squares four-dimensional variational data Assimilation (NLS-4DVar)-based CO2 Retrieval Algorithm (NARA), is proposed for retrieving atmospheric CO2 from the satellite hyperspectral measurements, in which the NLS-4DVar method is used as the...

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Bibliographic Details
Main Authors: Zhe Jin, Xiangjun Tian, Minzheng Duan, Rui Han
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-07-01
Series:Frontiers in Earth Science
Subjects:
Atmospheric CO2
XCO2
retrieval algorithm
NLS-4DVar
satellite observations
OCO-2
Online Access:https://www.frontiersin.org/articles/10.3389/feart.2021.688542/full

Internet

https://www.frontiersin.org/articles/10.3389/feart.2021.688542/full

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