Comparative inverse analysis of satellite (MOPITT) and aircraft (TRACE-P) observations to estimate Asian sources of carbon monoxide
By C. Heald, D. J. Jacob, Dylan B. A. Jones, Paul I. Palmer, J. Logan, D. Streets, G. Sachse, John Gille, R. Hoffman, T. Nehrkorn. 2004
268 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/c09661b4844add96ebf064cd7dc260caf92efcb3
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In Atmospheric Science
In Global and Planetary Change
Citations in the corpus
- Attribution of the accelerating increase in atmospheric methane during 2010–2018 by inverse analysis of GOSAT observations (2020, methodology): “We take SO to be diagonal and compute the variance terms from the statistics of the residual error (εO = y−F (xa)− y−F (xa), where the overbar denotes annual averages in a 4◦× 5◦ grid cell) that represents the random component of model–observation differences (Heald et al., 2004).”
- Comparison of Adjoint and Analytical Bayesian Inversion Methods for Constraining Asian Sources of Carbon Monoxide Using Satellite (MOPITT) Measurements of CO Columns (2009, methodology): “, 2003] in light of evidence from inverse analyses of the TRACE-P and MOPITT data that their anthropogenic emission estimates from China (116 Tg CO a (1)) were too low by 40–55% [Palmer et al., 2003; Heald et al., 2004; Wang et al., 2004].”