CH4 concentrations over the Amazon from GOSAT consistent with in situ vertical profile data

We thank JAXA and NIES for providing access and support for GOSAT data. We thank the NERC and FAPESP for their joint funding of the Amazonian Carbon Observatory Project (NERC Reference: NE/J016284/1). A. Webb is funded by the UK Natural Environment Research Council (NERC). H. Bösch and R. Parker are supported by the NERC National Centre for Earth Observation (NCEO) and the ESA Climate Change Initiative (GHG-CCI). Parker is also funded via an ESA Living Planet Fellowship. M. Gloor was financially supported by the NERC consortium grant AMAZONICA (NE/F005806/1) which we also thank for providing access to additional aircraft profiles. We thank BADC for providing ECMWF data. Research at the University of Edinburgh is funded by the NERC grant NE/J016195/1. P. Palmer acknowledges his Royal Society Wolfson Research Merit Award. The University of Leicester GOSAT data are freely available through the ESA GHG-CCI website (www.esa-ghg-cci.org). ACO data will be made available through the British Atmospheric Data Centre (BADC) (www.badc.nerc.ac.uk/data/), and AMAZONICA data are available upon request by L. V. Gatti (lvgatti@gmail.com). ECMWF ERA-Interim data are available through the ECMWF website (http://apps.ecmwf.int/datasets/). Access to the MACC-II data can be requested from the ECMWF MARS data server (experiment ID g4om, www.ecmwf.int/en/forecasts/datasets). Paramaribo-FTS data are available upon request from T. Warneke (warneke@iup.physik.uni-bremen.de). GEOS-Chem model and metadata are freely available upon request by P. Palmer (pip@ed.ac.uk). TOMCAT model output can be requested from M. Chipperfield (M.Chipperfield@leeds.ac.uk), who acknowledges his Royal Society Wolfson Research Merit award. This research used the SPECTRE and ALICE High Performance Computing Facilities at the University of Leicester. The TOMCAT model was run on the Archer national supercomputer. We thank CEDA for use of the JASMIN supercomputer system on which we run the NAME model.