Articles | Volume 13, issue 19
https://doi.org/10.5194/acp-13-9917-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-13-9917-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
08 Oct 2013
Research article |
| 08 Oct 2013
Impact of transport model errors on the global and regional methane emissions estimated by inverse modelling
R. Locatelli
Laboratoire des Sciences du Climat et de l'Environnement, LSCE – UMR8212,Gif sur Yvette, France
P. Bousquet
Laboratoire des Sciences du Climat et de l'Environnement, LSCE – UMR8212,Gif sur Yvette, France
F. Chevallier
Laboratoire des Sciences du Climat et de l'Environnement, LSCE – UMR8212,Gif sur Yvette, France
A. Fortems-Cheney
Laboratoire des Sciences du Climat et de l'Environnement, LSCE – UMR8212,Gif sur Yvette, France
Laboratoire des Sciences du Climat et de l'Environnement, LSCE – UMR8212,Gif sur Yvette, France
M. Saunois
Laboratoire des Sciences du Climat et de l'Environnement, LSCE – UMR8212,Gif sur Yvette, France
A. Agusti-Panareda
European Centre for Medium-Range Weather Forecasts, Shinfield Park, Reading, Berkshire, RG2 9AX, UK
D. Bergmann
Atmospheric, Earth, and Energy Division, Lawrence Livermore National Laboratory, 7000 East Avenue, Livermore, CA 94550, USA
H. Bian
Goddard Earth Sciences and Technology Center, NASA Goddard Space Flight Center, Code 613.3, Greenbelt, MD 20771, USA
P. Cameron-Smith
Atmospheric, Earth, and Energy Division, Lawrence Livermore National Laboratory, 7000 East Avenue, Livermore, CA 94550, USA
M. P. Chipperfield
Institute for Climate and Atmospheric Science, School of Earth and Environment, University of Leeds, Leeds, LS2 9JT, UK
E. Gloor
Institute for Climate and Atmospheric Science, School of Earth and Environment, University of Leeds, Leeds, LS2 9JT, UK
S. Houweling
SRON Netherlands Institute for Space Research, Sorbonnelaan 2, 3584 CA Utrecht, the Netherlands
Institute for Marine and Atmospheric Research Utrecht (IMAU), Princetonplein 5, 3584 CC Utrecht, the Netherlands
S. R. Kawa
Goddard Earth Sciences and Technology Center, NASA Goddard Space Flight Center, Code 613.3, Greenbelt, MD 20771, USA
SRON Netherlands Institute for Space Research, Sorbonnelaan 2, 3584 CA Utrecht, the Netherlands
Institute for Marine and Atmospheric Research Utrecht (IMAU), Princetonplein 5, 3584 CC Utrecht, the Netherlands
Wageningen University and Research Centre, Droevendaalsesteeg 4, 6708 PB Wageningen, the Netherlands
P. K. Patra
Research Institute for Global Change/JAMSTEC, 3173-25 Show-machi, Yokohama, 2360001, Japan
R. G. Prinn
Center for Global Change Science, Building 54, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
M. Rigby
Center for Global Change Science, Building 54, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
School of Chemistry, University of Bristol, Bristol, BS8 1TS, UK
R. Saito
Research Institute for Global Change/JAMSTEC, 3173-25 Show-machi, Yokohama, 2360001, Japan
C. Wilson
Institute for Climate and Atmospheric Science, School of Earth and Environment, University of Leeds, Leeds, LS2 9JT, UK
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44 citations as recorded by crossref.
- Comparison of Regional Simulation of Biospheric CO2 Flux from the Updated Version of CarbonTracker Asia with FLUXCOM and Other Inversions over Asia S. Kenea et al. 10.3390/rs12010145
- Carbon isotopic signature of coal-derived methane emissions to the atmosphere: from coalification to alteration G. Zazzeri et al. 10.5194/acp-16-13669-2016
- Global inverse modeling of CH<sub>4</sub> sources and sinks: an overview of methods S. Houweling et al. 10.5194/acp-17-235-2017
- Increasing anthropogenic methane emissions arise equally from agricultural and fossil fuel sources R. Jackson et al. 10.1088/1748-9326/ab9ed2
- Estimating power plant CO2 emission using OCO-2 XCO2 and high resolution WRF-Chem simulations T. Zheng et al. 10.1088/1748-9326/ab25ae
- Modelling CO<sub>2</sub> weather – why horizontal resolution matters A. Agustí-Panareda et al. 10.5194/acp-19-7347-2019
- The Canadian atmospheric transport model for simulating greenhouse gas evolution on regional scales: GEM–MACH–GHG v.137-reg J. Kim et al. 10.5194/gmd-13-269-2020
- Forecasting global atmospheric CO<sub>2</sub> A. Agustí-Panareda et al. 10.5194/acp-14-11959-2014
- Regional data assimilation of multi-spectral MOPITT observations of CO over North America Z. Jiang et al. 10.5194/acp-15-6801-2015
- A large‐scale methane model by incorporating the surface water transport X. Lu et al. 10.1002/2016JG003321
- Decadal Methane Emission Trend Inferred from Proxy GOSAT XCH4 Retrievals: Impacts of Transport Model Spatial Resolution S. Zhu et al. 10.1007/s00376-022-1434-6
- A new model of the global biogeochemical cycle of carbonyl sulfide – Part 2: Use of carbonyl sulfide to constrain gross primary productivity in current vegetation models T. Launois et al. 10.5194/acp-15-9285-2015
- Multi‐Season Evaluation of CO2 Weather in OCO‐2 MIP Models L. Zhang et al. 10.1029/2021JD035457
- Influences of hydroxyl radicals (OH) on top-down estimates of the global and regional methane budgets Y. Zhao et al. 10.5194/acp-20-9525-2020
- On the impact of recent developments of the LMDz atmospheric general circulation model on the simulation of CO<sub>2</sub> transport M. Remaud et al. 10.5194/gmd-11-4489-2018
- The 2009–2010 step in atmospheric CO<sub>2</sub> interhemispheric difference R. Francey & J. Frederiksen 10.5194/bg-13-873-2016
- Global methane emission estimates for 2000–2012 from CarbonTracker Europe-CH<sub>4</sub> v1.0 A. Tsuruta et al. 10.5194/gmd-10-1261-2017
- Improving the inter-hemispheric gradient of total column atmospheric CO<sub>2</sub> and CH<sub>4</sub> in simulations with the ECMWF semi-Lagrangian atmospheric global model A. Agusti-Panareda et al. 10.5194/gmd-10-1-2017
- Validation of WRF-Chem Model and CAMS Performance in Estimating Near-Surface Atmospheric CO2 Mixing Ratio in the Area of Saint Petersburg (Russia) G. Nerobelov et al. 10.3390/atmos12030387
- Variations of tropospheric methane over Japan during 1988–2010 T. Umezawa et al. 10.3402/tellusb.v66.23837
- Top-down constraints on atmospheric mercury emissions and implications for global biogeochemical cycling S. Song et al. 10.5194/acp-15-7103-2015
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- Use of Assimilation Analysis in 4D-Var Source Inversion: Observing System Simulation Experiments (OSSEs) with GOSAT Methane and Hemispheric CMAQ S. Voshtani et al. 10.3390/atmos14040758
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- Methane emissions from global rice fields: Magnitude, spatiotemporal patterns, and environmental controls B. Zhang et al. 10.1002/2016GB005381
- How well can inverse analyses of high-resolution satellite data resolve heterogeneous methane fluxes? Observing system simulation experiments with the GEOS-Chem adjoint model (v35) X. Yu et al. 10.5194/gmd-14-7775-2021
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- The Community Inversion Framework v1.0: a unified system for atmospheric inversion studies A. Berchet et al. 10.5194/gmd-14-5331-2021
- History of chemically and radiatively important atmospheric gases from the Advanced Global Atmospheric Gases Experiment (AGAGE) R. Prinn et al. 10.5194/essd-10-985-2018
- Variability and quasi-decadal changes in the methane budget over the period 2000–2012 M. Saunois et al. 10.5194/acp-17-11135-2017
- A pragmatic protocol for characterising errors in atmospheric inversions of methane emissions over Europe B. Szénási et al. 10.1080/16000889.2021.1914989
- Variational inverse modeling within the Community Inversion Framework v1.1 to assimilate <i>δ</i><sup>13</sup>C(CH<sub>4</sub>) and CH<sub>4</sub>: a case study with model LMDz-SACS J. Thanwerdas et al. 10.5194/gmd-15-4831-2022
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