Computationally efficient methods for large-scale atmospheric inverse modeling

Atmospheric inverse modeling describes the process of estimating greenhouse gas fluxes or air pollution emissions at the Earth's surface using observations of these gases collected in the atmosphere. The launch of new satellites, the expansion of surface observation networks, and a desire for m...

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Bibliographic Details
Published in:	Geoscientific Model Development Vol. 15; no. 14; pp. 5547 - 5565
Main Authors:	Cho, Taewon, Chung, Julianne, Miller, Scot M., Saibaba, Arvind K.
Format:	Journal Article
Language:	English
Published:	Katlenburg-Lindau Copernicus GmbH 20.07.2022 Copernicus Publications
Subjects:	Air pollution Algorithms Atmospheric models Carbon Computational efficiency Computer applications Covariance matrix Earth surface Emissions Exploitation Fluxes Gases Greenhouse gases Inverse problems Iterative algorithms Iterative methods Mathematical models Methods Modelling Observatories Random variables Regularization Robustness (mathematics) Satellite observation Satellites Surface fluxes
ISSN:	1991-9603, 1991-959X, 1991-962X, 1991-9603, 1991-962X
Online Access:	Get full text
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