Peter Bergamaschi

TL;DR: In this paper, the second version of the living review paper dedicated to the decadal methane budget is presented, integrating results of top-down studies (atmospheric observations within an atmospheric inverse-modeling framework) and bottom-up estimates (including process-based models for estimating land surface emissions and atmospheric chemistry, inventories of anthropogenic emissions, and data-driven extrapolations).

TL;DR: In this article, a 4D-Var data assimilation system was applied to the scan-imaging-absorption-spectrometer for Atmospheric Chartography (SCIAMACHY) data to estimate the global distribution of atmospheric methane.

TL;DR: In this article, a tunable diode laser based optical Methane Isotopomer Spectrometer (MISOS) was used to measure the seasonality of CH4 and its stable isotope ratios 13C/12C and D/H.

TL;DR: In this paper, the authors compared the performance of the SCIAMACHY XCH4 data set with the reference data set using the WFM-DOAS algorithm, and concluded that the carbon dioxide data set can be characterised by a regional relative precision (mean standard deviation of the differences) of about 2.2 ppm and a relative accuracy of 1.1-1.2ppb for monthly average composites within a radius of 500 km.

TL;DR: In this paper, the authors use continuous observations from 10 European stations (including 5 tall towers) for CH4 and 9 continuous stations for N2O, complemented by additional European and global discrete air sampling sites.