posted on 2019-07-12, 12:11authored byZhiting Wang, Thorsten Warneke, Nicholas M. Deutscher, Justus Notholt, Ute Karstens, Marielle Saunois, Matthias Schneider, Ralf Sussmann, Harjinder Sembhi, David W. T. Griffith, Dave F. Pollard, Rigel Kivi, Christof Petri, Voltaire A. Velazco, Michel Ramonet, Huilin Chen
Inverse modelling is a useful tool for retrieving CH4 fluxes; however, evaluation of the applied chemical transport model is an important step before using the inverted emissions. For inversions using column data one concern is how well the model represents stratospheric and tropospheric CH4 when assimilating total column measurements. In this study atmospheric CH4 from three inverse models is compared to FTS (Fourier transform spectrometry), satellite and in situ measurements. Using the FTS measurements the model biases are separated into stratospheric and tropospheric contributions. When averaged over all FTS sites the model bias amplitudes (absolute model to FTS differences) are 7.4 ± 5.1, 6.7 ± 4.8, and 8.1 ± 5.5 ppb in the tropospheric partial column (the column from the surface to the tropopause) for the models TM3, TM5-4DVAR, and LMDz-PYVAR, respectively, and 4.3 ± 9.9, 4.7 ± 9.9, and 6.2 ± 11.2 ppb in the stratospheric partial column (the column from the tropopause to the top of the atmosphere). The model biases in the tropospheric partial column show a latitudinal gradient for all models; however there are no clear latitudinal dependencies for the model biases in the stratospheric partial column visible except with the LMDz-PYVAR model. Comparing modelled and FTS-measured tropospheric column-averaged mole fractions reveals a similar latitudinal gradient in the model biases but comparison with in situ measured mole fractions in the troposphere does not show a latitudinal gradient, which is attributed to the different longitudinal coverage of FTS and in situ measurements. Similarly, a latitudinal pattern exists in model biases in vertical CH4 gradients in the troposphere, which indicates that vertical transport of tropospheric CH4 is not represented correctly in the models.
Funding
This research is funded by EU project InGOS.
We acknowledge funding from the European Union’s Horizon
2020 research and innovation programme for the project RINGO
(grant agreement no. 730944) as well. Nicholas Deutscher is supported by an ARC-DECRA fellowship, DE140100178. TCCON
measurements at Park Falls and Lamont are possible thanks to
NASA grants NNX14AI60G, NNX11AG01G, NAG5-12247, and
NNG05-GD07G, and the NASA Orbiting Carbon Observatory Program, as well as technical support from the DOE ARM programme
(Lamont) and Jeff Ayers (Park Falls). Darwin and Wollongong
TCCON support is funded by NASA grants NAG5-12247 and
NNG05-GD07G and the Australian Research Council grants
DP140101552, DP110103118, DP0879468 and LP0562346, as
well as support from the GOSAT project and DOE ARM technical
support in Darwin. The EU projects InGOS and ICOS-INWIRE
and the Senate of Bremen provide financial support for TCCON
measurements at Bremen, Orleans, Bialystok and Ny-Ålesund,
and Orleans is also support by the RAMCES team at LSCE. The
Lauder TCCON programme is core-funded by NIWA through New
Zealand’s Ministry of Business, Innovation and Employment.
The article processing charges for this open-access
publication were covered by the University of Bremen.
History
Citation
Atmospheric Chemistry and Physics, 2017, 17, pp. 13283-13295
Author affiliation
/Organisation/COLLEGE OF SCIENCE AND ENGINEERING/Department of Physics and Astronomy
Version
VoR (Version of Record)
Published in
Atmospheric Chemistry and Physics
Publisher
European Geosciences Union (EGU), Copernicus Publications
The TCCON data can be obtained from the TCCON Data Archive (http://tccondata.org/). The model outputs are
from Marille Saunois (Laboratoire des Sciences du Climat et de
l’Environnement, France) for LMDz-PYVAR, Ute Karstens (the
Max Plank Institute for Biogeochemistry, Jena, Germany) for TM3,
and Peter Bergamaschi (European Commission Joint Research Centre) for TM5-4DVAR. One should contact these authors directly
considering the availability the model output. The GOSAT data
UoL-OCPRv7, TES data F07_10 and HIPPO data are public available. Surface CH4 measurements from NOAA are publicly available. The in situ CH4 profile measurements by AirCore will become available via the EU project RINGO. Lamont-AirCore measurements have been provided by the Colm Sweeney at the NOAA
Carbon Cycle and Greenhouse Gas Group Aircraft Program (http:
//www.esrl.noaa.gov/gmd/ccgg/aircraft/). The AirCore data at Sodankylä are from the FTS group there.