Inverse Modeling of Global and Regional CH4 Emissions Using SCIAMACHY Satellite Retrievals
By P. Bergamaschi, Christian Frankenberg, J. F. Meirink, M. Krol, M. Villani, S. Houweling, F. Dentener, Edward J. Dlugokencky, John B. Miller, L. Gatti and 2 more. 2009
473 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/a3e5822306dfda985404d7f1fd3fd36e0fb6acb3
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Atmospheric Science
- William A. Lahoz
- Christian Frankenberg
- Philipp Schneider
- M. Krol
- Colm Sweeney
- Edward J. Dlugokencky
- Frédéric Chevallier
In Global and Planetary Change
- William A. Lahoz
- Christian Frankenberg
- Philipp Schneider
- M. Krol
- Colm Sweeney
- Edward J. Dlugokencky
- Frédéric Chevallier
Citations in the corpus
- Atmospheric CH4 in the first decade of the 21st century: Inverse modeling analysis using SCIAMACHY satellite retrievals and NOAA surface measurements (2013, methodology): “We apply a “semiexponential” description of the probability density function for the a priori emissions to force the a posteriori emissions to remain positive [Bergamaschi et al., 2009, 2010].”
- Data assimilation: making sense of Earth Observation (2014, background): “It is also applied to estimate fluxes of CH4 (e.g., Bergamaschi et al., 2009; Bousquet et al., 2011).”