Articles | Volume 11, issue 3
Earth Syst. Sci. Data, 11, 1263–1289, 2019
https://doi.org/10.5194/essd-11-1263-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Earth Syst. Sci. Data, 11, 1263–1289, 2019
https://doi.org/10.5194/essd-11-1263-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Review article
22 Aug 2019
Review article
| 22 Aug 2019
Monthly gridded data product of northern wetland methane emissions based on upscaling eddy covariance observations
Olli Peltola et al.
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- Towards a comprehensive and consistent global aquatic land cover characterization framework addressing multiple user needs P. Xu et al. 10.1016/j.rse.2020.112034
- Development of the global dataset of Wetland Area and Dynamics for Methane Modeling (WAD2M) Z. Zhang et al. 10.5194/essd-13-2001-2021
- Towards quantifying subsurface methane emissions from energy wells with integrity failure J. Soares et al. 10.1016/j.apr.2021.101223
- Lessons learned from more than a decade of greenhouse gas flux measurements at boreal forests in eastern Siberia and interior Alaska T. Hiyama et al. 10.1016/j.polar.2020.100607
- Bottom-up evaluation of the regional methane budget of northern lands from 1980 to 2015 A. Ito 10.1016/j.polar.2020.100558
- The Boreal–Arctic Wetland and Lake Dataset (BAWLD) D. Olefeldt et al. 10.5194/essd-13-5127-2021
- Permafrost carbon emissions in a changing Arctic K. Miner et al. 10.1038/s43017-021-00230-3
- Gap-filling eddy covariance methane fluxes: Comparison of machine learning model predictions and uncertainties at FLUXNET-CH4 wetlands J. Irvin et al. 10.1016/j.agrformet.2021.108528
- Spatio-temporal variations of the atmospheric greenhouse gases and their sources and sinks in the Arctic region S. Morimoto et al. 10.1016/j.polar.2020.100553
- A strong mitigation scenario maintains climate neutrality of northern peatlands C. Qiu et al. 10.1016/j.oneear.2021.12.008
- Topography-based statistical modelling reveals high spatial variability and seasonal emission patches in forest floor methane flux E. Vainio et al. 10.5194/bg-18-2003-2021
- Methane emissions during different freezing-thawing periods from a fen on the Qinghai-Tibetan Plateau: Four years of measurements H. Chen et al. 10.1016/j.agrformet.2020.108279
- Predicting carbon and water vapor fluxes using machine learning and novel feature ranking algorithms X. Cui et al. 10.1016/j.scitotenv.2021.145130
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- Airborne Mapping Reveals Emergent Power Law of Arctic Methane Emissions C. Elder et al. 10.1029/2019GL085707
- Evaluation of forest carbon uptake in South Korea using the national flux tower network, remote sensing, and data-driven technology S. Cho et al. 10.1016/j.agrformet.2021.108653
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- Temperate mire fluctuations from carbon sink to carbon source following changes in water table K. Fortuniak et al. 10.1016/j.scitotenv.2020.144071
- Methane emissions reduce the radiative cooling effect of a subtropical estuarine mangrove wetland by half J. Liu et al. 10.1111/gcb.15247
- Statistical upscaling of ecosystem CO 2 fluxes across the terrestrial tundra and boreal domain: Regional patterns and uncertainties A. Virkkala et al. 10.1111/gcb.15659
- A Remote Sensing Technique to Upscale Methane Emission Flux in a Subtropical Peatland C. Zhang et al. 10.1029/2020JG006002
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- Environmental controls on methane fluxes in a cool temperate bog M. Ueyama et al. 10.1016/j.agrformet.2019.107852
- Geomorphological patterns of remotely sensed methane hot spots in the Mackenzie Delta, Canada L. Baskaran et al. 10.1088/1748-9326/ac41fb
- Airborne quantification of net methane and carbon dioxide fluxes from European Arctic wetlands in Summer 2019 P. Barker et al. 10.1098/rsta.2021.0192
- Characterizing Methane Emission Hotspots From Thawing Permafrost C. Elder et al. 10.1029/2020GB006922
- Remote sensing northern lake methane ebullition M. Engram et al. 10.1038/s41558-020-0762-8
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- The Global Methane Budget 2000–2017 M. Saunois et al. 10.5194/essd-12-1561-2020
- Howland Forest, ME, USA: Multi-Gas Flux (CO2, CH4, N2O) Social Cost Product Underscores Limited Carbon Proxies B. Marino et al. 10.3390/land10040436
- Direct measurement forest carbon protocol: a commercial system-of-systems to incentivize forest restoration and management B. Marino et al. 10.7717/peerj.8891
- Partitioning methane flux by the eddy covariance method in a cool temperate bog based on a Bayesian framework M. UEYAMA et al. 10.1016/j.agrformet.2022.108852
- Science to Commerce: A Commercial-Scale Protocol for Carbon Trading Applied to a 28-Year Record of Forest Carbon Monitoring at the Harvard Forest N. Bautista et al. 10.3390/land10020163
- Improved ELMv1-ECA simulations of zero-curtain periods and cold-season CH<sub>4</sub> and CO<sub>2</sub> emissions at Alaskan Arctic tundra sites J. Tao et al. 10.5194/tc-15-5281-2021
40 citations as recorded by crossref.
- Country-Scale Analysis of Methane Emissions with a High-Resolution Inverse Model Using GOSAT and Surface Observations R. Janardanan et al. 10.3390/rs12030375
- Towards a comprehensive and consistent global aquatic land cover characterization framework addressing multiple user needs P. Xu et al. 10.1016/j.rse.2020.112034
- Development of the global dataset of Wetland Area and Dynamics for Methane Modeling (WAD2M) Z. Zhang et al. 10.5194/essd-13-2001-2021
- Towards quantifying subsurface methane emissions from energy wells with integrity failure J. Soares et al. 10.1016/j.apr.2021.101223
- Lessons learned from more than a decade of greenhouse gas flux measurements at boreal forests in eastern Siberia and interior Alaska T. Hiyama et al. 10.1016/j.polar.2020.100607
- Bottom-up evaluation of the regional methane budget of northern lands from 1980 to 2015 A. Ito 10.1016/j.polar.2020.100558
- The Boreal–Arctic Wetland and Lake Dataset (BAWLD) D. Olefeldt et al. 10.5194/essd-13-5127-2021
- Permafrost carbon emissions in a changing Arctic K. Miner et al. 10.1038/s43017-021-00230-3
- Gap-filling eddy covariance methane fluxes: Comparison of machine learning model predictions and uncertainties at FLUXNET-CH4 wetlands J. Irvin et al. 10.1016/j.agrformet.2021.108528
- Spatio-temporal variations of the atmospheric greenhouse gases and their sources and sinks in the Arctic region S. Morimoto et al. 10.1016/j.polar.2020.100553
- A strong mitigation scenario maintains climate neutrality of northern peatlands C. Qiu et al. 10.1016/j.oneear.2021.12.008
- Topography-based statistical modelling reveals high spatial variability and seasonal emission patches in forest floor methane flux E. Vainio et al. 10.5194/bg-18-2003-2021
- Methane emissions during different freezing-thawing periods from a fen on the Qinghai-Tibetan Plateau: Four years of measurements H. Chen et al. 10.1016/j.agrformet.2020.108279
- Predicting carbon and water vapor fluxes using machine learning and novel feature ranking algorithms X. Cui et al. 10.1016/j.scitotenv.2021.145130
- Representativeness assessment of the pan-Arctic eddy covariance site network and optimized future enhancements M. Pallandt et al. 10.5194/bg-19-559-2022
- Airborne Mapping Reveals Emergent Power Law of Arctic Methane Emissions C. Elder et al. 10.1029/2019GL085707
- Evaluation of forest carbon uptake in South Korea using the national flux tower network, remote sensing, and data-driven technology S. Cho et al. 10.1016/j.agrformet.2021.108653
- Modeled Microbial Dynamics Explain the Apparent Temperature Sensitivity of Wetland Methane Emissions S. Chadburn et al. 10.1029/2020GB006678
- Aircraft-based inversions quantify the importance of wetlands and livestock for Upper Midwest methane emissions X. Yu et al. 10.5194/acp-21-951-2021
- Identifying dominant environmental predictors of freshwater wetland methane fluxes across diurnal to seasonal time scales S. Knox et al. 10.1111/gcb.15661
- A pragmatic protocol for characterising errors in atmospheric inversions of methane emissions over Europe B. Szénási et al. 10.1080/16000889.2021.1914989
- Estimating 2010–2015 anthropogenic and natural methane emissions in Canada using ECCC surface and GOSAT satellite observations S. Baray et al. 10.5194/acp-21-18101-2021
- Temperate mire fluctuations from carbon sink to carbon source following changes in water table K. Fortuniak et al. 10.1016/j.scitotenv.2020.144071
- Methane emissions reduce the radiative cooling effect of a subtropical estuarine mangrove wetland by half J. Liu et al. 10.1111/gcb.15247
- Statistical upscaling of ecosystem CO 2 fluxes across the terrestrial tundra and boreal domain: Regional patterns and uncertainties A. Virkkala et al. 10.1111/gcb.15659
- A Remote Sensing Technique to Upscale Methane Emission Flux in a Subtropical Peatland C. Zhang et al. 10.1029/2020JG006002
- BAWLD-CH<sub>4</sub>: a comprehensive dataset of methane fluxes from boreal and arctic ecosystems M. Kuhn et al. 10.5194/essd-13-5151-2021
- Environmental controls on methane fluxes in a cool temperate bog M. Ueyama et al. 10.1016/j.agrformet.2019.107852
- Geomorphological patterns of remotely sensed methane hot spots in the Mackenzie Delta, Canada L. Baskaran et al. 10.1088/1748-9326/ac41fb
- Airborne quantification of net methane and carbon dioxide fluxes from European Arctic wetlands in Summer 2019 P. Barker et al. 10.1098/rsta.2021.0192
- Characterizing Methane Emission Hotspots From Thawing Permafrost C. Elder et al. 10.1029/2020GB006922
- Remote sensing northern lake methane ebullition M. Engram et al. 10.1038/s41558-020-0762-8
- WETMETH 1.0: a new wetland methane model for implementation in Earth system models C. Nzotungicimpaye et al. 10.5194/gmd-14-6215-2021
- 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
- The Global Methane Budget 2000–2017 M. Saunois et al. 10.5194/essd-12-1561-2020
- Howland Forest, ME, USA: Multi-Gas Flux (CO2, CH4, N2O) Social Cost Product Underscores Limited Carbon Proxies B. Marino et al. 10.3390/land10040436
- Direct measurement forest carbon protocol: a commercial system-of-systems to incentivize forest restoration and management B. Marino et al. 10.7717/peerj.8891
- Partitioning methane flux by the eddy covariance method in a cool temperate bog based on a Bayesian framework M. UEYAMA et al. 10.1016/j.agrformet.2022.108852
- Science to Commerce: A Commercial-Scale Protocol for Carbon Trading Applied to a 28-Year Record of Forest Carbon Monitoring at the Harvard Forest N. Bautista et al. 10.3390/land10020163
- Improved ELMv1-ECA simulations of zero-curtain periods and cold-season CH<sub>4</sub> and CO<sub>2</sub> emissions at Alaskan Arctic tundra sites J. Tao et al. 10.5194/tc-15-5281-2021
Discussed (final revised paper)
Latest update: 24 Jun 2022
Short summary
Here we develop a monthly gridded dataset of northern (> 45 N) wetland methane (CH4) emissions. The data product is derived using a random forest machine-learning technique and eddy covariance CH4 fluxes from 25 wetland sites. Annual CH4 emissions from these wetlands calculated from the derived data product are comparable to prior studies focusing on these areas. This product is an independent estimate of northern wetland CH4 emissions and hence could be used, e.g. for process model evaluation.
Here we develop a monthly gridded dataset of northern ( 45 N) wetland methane (CH4) emissions....
