Articles | Volume 10, issue 3
https://doi.org/10.5194/gmd-10-1261-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-10-1261-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Model evaluation paper
| 
27 Mar 2017
Model evaluation paper |
| 27 Mar 2017
Global methane emission estimates for 2000–2012 from CarbonTracker Europe-CH4 v1.0
Climate Research, Finnish Meteorological Institute, Helsinki, Finland
Tuula Aalto
Climate Research, Finnish Meteorological Institute, Helsinki, Finland
Leif Backman
Climate Research, Finnish Meteorological Institute, Helsinki, Finland
Janne Hakkarainen
Earth Observation, Finnish Meteorological Institute, Helsinki, Finland
Ingrid T. van der Laan-Luijkx
Meteorology and Air Quality, Wageningen University & Research,
Wageningen, the Netherlands
Institute for Marine and Atmospheric Research, Utrecht University,
Utrecht, the Netherlands
Maarten C. Krol
Meteorology and Air Quality, Wageningen University & Research,
Wageningen, the Netherlands
SRON Netherlands Institute for Space Research, Utrecht, the
Netherlands
Institute for Marine and Atmospheric Research, Utrecht University,
Utrecht, the Netherlands
Renato Spahni
Climate and Environmental Physics, Physics Institute, and Oeschger
Centre for Climate Change Research, University of Bern, Bern, Switzerland
Sander Houweling
SRON Netherlands Institute for Space Research, Utrecht, the
Netherlands
Institute for Marine and Atmospheric Research, Utrecht University,
Utrecht, the Netherlands
Marko Laine
Earth Observation, Finnish Meteorological Institute, Helsinki, Finland
Ed Dlugokencky
NOAA Earth System Research Laboratory, Global Monitoring Division, Boulder, Colorado, USA
Angel J. Gomez-Pelaez
Izaña Atmospheric Research Center, Agencia Estatal de
Meteorología (AEMET), Tenerife, Spain
Marcel van der Schoot
CSIRO Oceans and Atmosphere, Aspendale, Australia
Ray Langenfelds
CSIRO Oceans and Atmosphere, Aspendale, Australia
Raymond Ellul
Atmospheric Research, Department of Geosciences, University of Malta,
Msida, Malta
Jgor Arduini
Department of Pure and Applied Sciences, University of Urbino,
Urbino, Italy
National Research Council, Institute of Atmospheric Sciences and
Climate, Bologna, Italy
Francesco Apadula
Ricerca sul Sistema Energetico – RSE SpA, Milano, Italy
Christoph Gerbig
Max Planck Institute for Biogeochemistry, Jena, Germany
Dietrich G. Feist
Max Planck Institute for Biogeochemistry, Jena, Germany
Rigel Kivi
Arctic Research, Finnish Meteorological Institute, Sodankylä,
Finland
Yukio Yoshida
Center for Global Environmental Research, National Institute for
Environmental Studies, Tsukuba, Ibaraki, Japan
Wouter Peters
Meteorology and Air Quality, Wageningen University & Research,
Wageningen, the Netherlands
University of Groningen, Centre for Isotope Research, Groningen, the
Netherlands
Viewed
Total article views: 8,964 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 19 Aug 2016)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 6,060 | 2,618 | 286 | 8,964 | 639 | 305 | 326 |
- HTML: 6,060
- PDF: 2,618
- XML: 286
- Total: 8,964
- Supplement: 639
- BibTeX: 305
- EndNote: 326
Total article views: 6,611 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 27 Mar 2017)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 4,531 | 1,841 | 239 | 6,611 | 472 | 246 | 250 |
- HTML: 4,531
- PDF: 1,841
- XML: 239
- Total: 6,611
- Supplement: 472
- BibTeX: 246
- EndNote: 250
Total article views: 2,353 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 19 Aug 2016)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 1,529 | 777 | 47 | 2,353 | 167 | 59 | 76 |
- HTML: 1,529
- PDF: 777
- XML: 47
- Total: 2,353
- Supplement: 167
- BibTeX: 59
- EndNote: 76
Viewed (geographical distribution)
Total article views: 8,964 (including HTML, PDF, and XML)
Thereof 8,387 with geography defined
and 577 with unknown origin.
Total article views: 6,611 (including HTML, PDF, and XML)
Thereof 6,206 with geography defined
and 405 with unknown origin.
Total article views: 2,353 (including HTML, PDF, and XML)
Thereof 2,181 with geography defined
and 172 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
43 citations as recorded by crossref.
- The Role of Emission Sources and Atmospheric Sink in the Seasonal Cycle of CH4 and δ13-CH4: Analysis Based on the Atmospheric Chemistry Transport Model TM5 V. Kangasaho et al. 10.3390/atmos13060888
- Climate tipping-point potential and paradoxical production of methane in a changing ocean H. Dang & J. Li 10.1007/s11430-017-9265-y
- Using Atmospheric Inverse Modelling of Methane Budgets with Copernicus Land Water and Wetness Data to Detect Land Use-Related Emissions M. Tenkanen et al. 10.3390/rs16010124
- European CH4 inversions with ICON-ART coupled to the CarbonTracker Data Assimilation Shell M. Steiner et al. 10.5194/acp-24-2759-2024
- The 2019 methane budget and uncertainties at 1° resolution and each country through Bayesian integration Of GOSAT total column methane data and a priori inventory estimates J. Worden et al. 10.5194/acp-22-6811-2022
- Temporal Characteristics of CH4 Vertical Profiles Observed in the West Siberian Lowland Over Surgut From 1993 to 2015 and Novosibirsk From 1997 to 2015 M. Sasakawa et al. 10.1002/2017JD026836
- Eight-Year Estimates of Methane Emissions from Oil and Gas Operations in Western Canada Are Nearly Twice Those Reported in Inventories E. Chan et al. 10.1021/acs.est.0c04117
- Correcting model biases of CO in East Asia: impact on oxidant distributions during KORUS-AQ B. Gaubert et al. 10.5194/acp-20-14617-2020
- Towards seamless environmental prediction – development of Pan-Eurasian EXperiment (PEEX) modelling platform A. Mahura et al. 10.1080/20964471.2024.2325019
- The CarbonTracker Data Assimilation System for CO<sub>2</sub> and <i>δ</i><sup>13</sup>C (CTDAS-C13 v1.0): retrieving information on land–atmosphere exchange processes I. van der Velde et al. 10.5194/gmd-11-283-2018
- Evaluation and Analysis of the Seasonal Cycle and Variability of the Trend from GOSAT Methane Retrievals E. Kivimäki et al. 10.3390/rs11070882
- Investigation of the global methane budget over 1980–2017 using GFDL-AM4.1 J. He et al. 10.5194/acp-20-805-2020
- Permafrost carbon emissions in a changing Arctic K. Miner et al. 10.1038/s43017-021-00230-3
- Implementation of a satellite-based tool for the quantification of CH4 emissions over Europe (AUMIA v1.0) – Part 1: forward modelling evaluation against near-surface and satellite data A. Vara-Vela et al. 10.5194/gmd-16-6413-2023
- Reduction of enteric methane production with palm oil: Responses in dry matter intake, rumen fermentation and apparent digestibility in sheep E. Flores-Santiago et al. 10.1016/j.anifeedsci.2022.115396
- The Global Methane Budget 2000–2017 M. Saunois et al. 10.5194/essd-12-1561-2020
- The consolidated European synthesis of CH4 and N2O emissions for the European Union and United Kingdom: 1990–2017 A. Petrescu et al. 10.5194/essd-13-2307-2021
- Age of air as a diagnostic for transport timescales in global models M. Krol et al. 10.5194/gmd-11-3109-2018
- Spatiotemporal Geostatistical Analysis and Global Mapping of CH4 Columns from GOSAT Observations L. Li et al. 10.3390/rs14030654
- Assessment of methane emissions from oil, gas and coal sectors across inventories and atmospheric inversions K. Tibrewal et al. 10.1038/s43247-023-01190-w
- Hydroxyl Radical (OH) Response to Meteorological Forcing and Implication for the Methane Budget J. He et al. 10.1029/2021GL094140
- The consolidated European synthesis of CH4 and N2O emissions for the European Union and United Kingdom: 1990–2019 A. Petrescu et al. 10.5194/essd-15-1197-2023
- Evaluation of CH4MOD<sub>wetland</sub> and Terrestrial Ecosystem Model (TEM) used to estimate global CH<sub>4</sub> emissions from natural wetlands T. Li et al. 10.5194/gmd-13-3769-2020
- CH4 Fluxes Derived from Assimilation of TROPOMI XCH4 in CarbonTracker Europe-CH4: Evaluation of Seasonality and Spatial Distribution in the Northern High Latitudes A. Tsuruta et al. 10.3390/rs15061620
- Slowdown in China's methane emission growth M. Zhao et al. 10.1093/nsr/nwae223
- Methane budget estimates in Finland from the CarbonTracker Europe-CH<sub>4</sub> data assimilation system A. Tsuruta et al. 10.1080/16000889.2018.1565030
- The CarbonTracker Data Assimilation Shell (CTDAS) v1.0: implementation and global carbon balance 2001–2015 I. van der Laan-Luijkx et al. 10.5194/gmd-10-2785-2017
- Overview: Recent advances in the understanding of the northern Eurasian environments and of the urban air quality in China – a Pan-Eurasian Experiment (PEEX) programme perspective H. Lappalainen et al. 10.5194/acp-22-4413-2022
- Environmental and Seasonal Variability of High Latitude Methane Emissions Based on Earth Observation Data and Atmospheric Inverse Modelling A. Erkkilä et al. 10.3390/rs15245719
- Utilizing Earth Observations of Soil Freeze/Thaw Data and Atmospheric Concentrations to Estimate Cold Season Methane Emissions in the Northern High Latitudes M. Tenkanen et al. 10.3390/rs13245059
- Constraints and biases in a tropospheric two-box model of OH S. Naus et al. 10.5194/acp-19-407-2019
- A Modeling Framework of Atmospheric CO2 in the Mediterranean Marseille Coastal City Area, France B. Nathan et al. 10.3390/atmos15101193
- Effects of extreme meteorological conditions in 2018 on European methane emissions estimated using atmospheric inversions R. Thompson et al. 10.1098/rsta.2020.0443
- Global Atmospheric δ13CH4 and CH4 Trends for 2000–2020 from the Atmospheric Transport Model TM5 Using CH4 from Carbon Tracker Europe–CH4 Inversions V. Mannisenaho et al. 10.3390/atmos14071121
- A pragmatic protocol for characterising errors in atmospheric inversions of methane emissions over Europe B. Szénási et al. 10.1080/16000889.2021.1914989
- Comparing national greenhouse gas budgets reported in UNFCCC inventories against atmospheric inversions Z. Deng et al. 10.5194/essd-14-1639-2022
- Observational constraints reduce model spread but not uncertainty in global wetland methane emission estimates K. Chang et al. 10.1111/gcb.16755
- Evaluation of Sentinel-5P TROPOMI Methane Observations at Northern High Latitudes H. Lindqvist et al. 10.3390/rs16162979
- Application of the ensemble Kalman filter to environmental data assimilation E. Klimova 10.1088/1755-1315/211/1/012049
- Quantifying the Impact of Atmospheric Transport Uncertainty on CO2 Surface Flux Estimates A. Schuh et al. 10.1029/2018GB006086
- Explaining Global Trends in Cattle Population Changes between 1961 and 2020 Directly Affecting Methane Emissions K. Kozicka et al. 10.3390/su151310533
- Quantifying Methane Emissions Using Satellite Data: Application of the Integrated Methane Inversion (IMI) Model to Assess Danish Emissions A. Vara-Vela et al. 10.3390/rs16234554
- Measurement of the 13C isotopic signature of methane emissions from northern European wetlands R. Fisher et al. 10.1002/2016GB005504
42 citations as recorded by crossref.
- The Role of Emission Sources and Atmospheric Sink in the Seasonal Cycle of CH4 and δ13-CH4: Analysis Based on the Atmospheric Chemistry Transport Model TM5 V. Kangasaho et al. 10.3390/atmos13060888
- Climate tipping-point potential and paradoxical production of methane in a changing ocean H. Dang & J. Li 10.1007/s11430-017-9265-y
- Using Atmospheric Inverse Modelling of Methane Budgets with Copernicus Land Water and Wetness Data to Detect Land Use-Related Emissions M. Tenkanen et al. 10.3390/rs16010124
- European CH4 inversions with ICON-ART coupled to the CarbonTracker Data Assimilation Shell M. Steiner et al. 10.5194/acp-24-2759-2024
- The 2019 methane budget and uncertainties at 1° resolution and each country through Bayesian integration Of GOSAT total column methane data and a priori inventory estimates J. Worden et al. 10.5194/acp-22-6811-2022
- Temporal Characteristics of CH4 Vertical Profiles Observed in the West Siberian Lowland Over Surgut From 1993 to 2015 and Novosibirsk From 1997 to 2015 M. Sasakawa et al. 10.1002/2017JD026836
- Eight-Year Estimates of Methane Emissions from Oil and Gas Operations in Western Canada Are Nearly Twice Those Reported in Inventories E. Chan et al. 10.1021/acs.est.0c04117
- Correcting model biases of CO in East Asia: impact on oxidant distributions during KORUS-AQ B. Gaubert et al. 10.5194/acp-20-14617-2020
- Towards seamless environmental prediction – development of Pan-Eurasian EXperiment (PEEX) modelling platform A. Mahura et al. 10.1080/20964471.2024.2325019
- The CarbonTracker Data Assimilation System for CO<sub>2</sub> and <i>δ</i><sup>13</sup>C (CTDAS-C13 v1.0): retrieving information on land–atmosphere exchange processes I. van der Velde et al. 10.5194/gmd-11-283-2018
- Evaluation and Analysis of the Seasonal Cycle and Variability of the Trend from GOSAT Methane Retrievals E. Kivimäki et al. 10.3390/rs11070882
- Investigation of the global methane budget over 1980–2017 using GFDL-AM4.1 J. He et al. 10.5194/acp-20-805-2020
- Permafrost carbon emissions in a changing Arctic K. Miner et al. 10.1038/s43017-021-00230-3
- Implementation of a satellite-based tool for the quantification of CH4 emissions over Europe (AUMIA v1.0) – Part 1: forward modelling evaluation against near-surface and satellite data A. Vara-Vela et al. 10.5194/gmd-16-6413-2023
- Reduction of enteric methane production with palm oil: Responses in dry matter intake, rumen fermentation and apparent digestibility in sheep E. Flores-Santiago et al. 10.1016/j.anifeedsci.2022.115396
- The Global Methane Budget 2000–2017 M. Saunois et al. 10.5194/essd-12-1561-2020
- The consolidated European synthesis of CH4 and N2O emissions for the European Union and United Kingdom: 1990–2017 A. Petrescu et al. 10.5194/essd-13-2307-2021
- Age of air as a diagnostic for transport timescales in global models M. Krol et al. 10.5194/gmd-11-3109-2018
- Spatiotemporal Geostatistical Analysis and Global Mapping of CH4 Columns from GOSAT Observations L. Li et al. 10.3390/rs14030654
- Assessment of methane emissions from oil, gas and coal sectors across inventories and atmospheric inversions K. Tibrewal et al. 10.1038/s43247-023-01190-w
- Hydroxyl Radical (OH) Response to Meteorological Forcing and Implication for the Methane Budget J. He et al. 10.1029/2021GL094140
- The consolidated European synthesis of CH4 and N2O emissions for the European Union and United Kingdom: 1990–2019 A. Petrescu et al. 10.5194/essd-15-1197-2023
- Evaluation of CH4MOD<sub>wetland</sub> and Terrestrial Ecosystem Model (TEM) used to estimate global CH<sub>4</sub> emissions from natural wetlands T. Li et al. 10.5194/gmd-13-3769-2020
- CH4 Fluxes Derived from Assimilation of TROPOMI XCH4 in CarbonTracker Europe-CH4: Evaluation of Seasonality and Spatial Distribution in the Northern High Latitudes A. Tsuruta et al. 10.3390/rs15061620
- Slowdown in China's methane emission growth M. Zhao et al. 10.1093/nsr/nwae223
- Methane budget estimates in Finland from the CarbonTracker Europe-CH<sub>4</sub> data assimilation system A. Tsuruta et al. 10.1080/16000889.2018.1565030
- The CarbonTracker Data Assimilation Shell (CTDAS) v1.0: implementation and global carbon balance 2001–2015 I. van der Laan-Luijkx et al. 10.5194/gmd-10-2785-2017
- Overview: Recent advances in the understanding of the northern Eurasian environments and of the urban air quality in China – a Pan-Eurasian Experiment (PEEX) programme perspective H. Lappalainen et al. 10.5194/acp-22-4413-2022
- Environmental and Seasonal Variability of High Latitude Methane Emissions Based on Earth Observation Data and Atmospheric Inverse Modelling A. Erkkilä et al. 10.3390/rs15245719
- Utilizing Earth Observations of Soil Freeze/Thaw Data and Atmospheric Concentrations to Estimate Cold Season Methane Emissions in the Northern High Latitudes M. Tenkanen et al. 10.3390/rs13245059
- Constraints and biases in a tropospheric two-box model of OH S. Naus et al. 10.5194/acp-19-407-2019
- A Modeling Framework of Atmospheric CO2 in the Mediterranean Marseille Coastal City Area, France B. Nathan et al. 10.3390/atmos15101193
- Effects of extreme meteorological conditions in 2018 on European methane emissions estimated using atmospheric inversions R. Thompson et al. 10.1098/rsta.2020.0443
- Global Atmospheric δ13CH4 and CH4 Trends for 2000–2020 from the Atmospheric Transport Model TM5 Using CH4 from Carbon Tracker Europe–CH4 Inversions V. Mannisenaho et al. 10.3390/atmos14071121
- A pragmatic protocol for characterising errors in atmospheric inversions of methane emissions over Europe B. Szénási et al. 10.1080/16000889.2021.1914989
- Comparing national greenhouse gas budgets reported in UNFCCC inventories against atmospheric inversions Z. Deng et al. 10.5194/essd-14-1639-2022
- Observational constraints reduce model spread but not uncertainty in global wetland methane emission estimates K. Chang et al. 10.1111/gcb.16755
- Evaluation of Sentinel-5P TROPOMI Methane Observations at Northern High Latitudes H. Lindqvist et al. 10.3390/rs16162979
- Application of the ensemble Kalman filter to environmental data assimilation E. Klimova 10.1088/1755-1315/211/1/012049
- Quantifying the Impact of Atmospheric Transport Uncertainty on CO2 Surface Flux Estimates A. Schuh et al. 10.1029/2018GB006086
- Explaining Global Trends in Cattle Population Changes between 1961 and 2020 Directly Affecting Methane Emissions K. Kozicka et al. 10.3390/su151310533
- Quantifying Methane Emissions Using Satellite Data: Application of the Integrated Methane Inversion (IMI) Model to Assess Danish Emissions A. Vara-Vela et al. 10.3390/rs16234554
1 citations as recorded by crossref.
Latest update: 14 Dec 2024
Short summary
In this study, we found that the average global methane emission for 2000–2012, estimated by the CTE-CH4 model, was 516±51 Tg CH4 yr-1, and the estimates for 2007–2012 were 4 % larger than for 2000–2006. The model estimates are sensitive to inputs and setups, but according to sensitivity tests the study suggests that the increase in atmospheric methane concentrations during 21st century was due to an increase in emissions from the 35S-EQ latitudinal bands.
In this study, we found that the average global methane emission for 2000–2012, estimated by the...
