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Methane observations from the Greenhouse Gases Observing SATellite: Comparison to ground‐based TCCON data and model calculations
Author(s) -
Parker Robert,
Boesch Hartmut,
Cogan Austin,
Fraser Annemarie,
Feng Liang,
Palmer Paul I.,
Messerschmidt Janina,
Deutscher Nicholas,
Griffith David W. T.,
Notholt Justus,
Wennberg Paul O.,
Wunch Debra
Publication year - 2011
Publication title -
geophysical research letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.007
H-Index - 273
eISSN - 1944-8007
pISSN - 0094-8276
DOI - 10.1029/2011gl047871
Subject(s) - environmental science , atmospheric sciences , satellite , latitude , greenhouse gas , climatology , meteorology , geology , geodesy , oceanography , physics , aerospace engineering , engineering
We report new short‐wave infrared (SWIR) column retrievals of atmospheric methane (X CH 4 ) from the Japanese Greenhouse Gases Observing SATellite (GOSAT) and compare observed spatial and temporal variations with correlative ground‐based measurements from the Total Carbon Column Observing Network (TCCON) and with the global 3‐D GEOS‐Chem chemistry transport model. GOSAT X CH 4 retrievals are compared with daily TCCON observations at six sites between April 2009 and July 2010 (Bialystok, Park Falls, Lamont, Orleans, Darwin and Wollongong). GOSAT reproduces the site‐dependent seasonal cycles as observed by TCCON with correlations typically between 0.5 and 0.7 with an estimated single‐sounding precision between 0.4–0.8%. We find a latitudinal‐dependent difference between the X CH 4 retrievals from GOSAT and TCCON which ranges from 17.9 ppb at the most northerly site (Bialystok) to −14.6 ppb at the site with the lowest latitude (Darwin). We estimate that the mean smoothing error difference included in the GOSAT to TCCON comparisons can account for 15.7 to 17.4 ppb for the northerly sites and for 1.1 ppb at the lowest latitude site. The GOSAT X CH 4 retrievals agree well with the GEOS‐Chem model on annual (August 2009 – July 2010) and monthly timescales, capturing over 80% of the zonal variability. Differences between model and observed X CH 4 are found over key source regions such as Southeast Asia and central Africa which will be further investigated using a formal inverse model analysis.