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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Cited
19 citations as recorded by crossref.
- 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
- Airborne Mapping Reveals Emergent Power Law of Arctic Methane Emissions C. Elder et al. 10.1029/2019GL085707
- 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
- 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
- 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
- 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
- A Remote Sensing Technique to Upscale Methane Emission Flux in a Subtropical Peatland C. Zhang et al. 10.1029/2020JG006002
- Bottom-up evaluation of the regional methane budget of northern lands from 1980 to 2015 A. Ito 10.1016/j.polar.2020.100558
- Environmental controls on methane fluxes in a cool temperate bog M. Ueyama et al. 10.1016/j.agrformet.2019.107852
- Remote sensing northern lake methane ebullition M. Engram et al. 10.1038/s41558-020-0762-8
- The Global Methane Budget 2000–2017 M. Saunois et al. 10.5194/essd-12-1561-2020
- Direct measurement forest carbon protocol: a commercial system-of-systems to incentivize forest restoration and management B. Marino et al. 10.7717/peerj.8891
- 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
- 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
- FLUXNET-CH4 Synthesis Activity: Objectives, Observations, and Future Directions S. Knox et al. 10.1175/BAMS-D-18-0268.1
19 citations as recorded by crossref.
- 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
- Airborne Mapping Reveals Emergent Power Law of Arctic Methane Emissions C. Elder et al. 10.1029/2019GL085707
- 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
- 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
- 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
- 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
- A Remote Sensing Technique to Upscale Methane Emission Flux in a Subtropical Peatland C. Zhang et al. 10.1029/2020JG006002
- Bottom-up evaluation of the regional methane budget of northern lands from 1980 to 2015 A. Ito 10.1016/j.polar.2020.100558
- Environmental controls on methane fluxes in a cool temperate bog M. Ueyama et al. 10.1016/j.agrformet.2019.107852
- Remote sensing northern lake methane ebullition M. Engram et al. 10.1038/s41558-020-0762-8
- The Global Methane Budget 2000–2017 M. Saunois et al. 10.5194/essd-12-1561-2020
- Direct measurement forest carbon protocol: a commercial system-of-systems to incentivize forest restoration and management B. Marino et al. 10.7717/peerj.8891
- 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
- 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
- FLUXNET-CH4 Synthesis Activity: Objectives, Observations, and Future Directions S. Knox et al. 10.1175/BAMS-D-18-0268.1
Discussed (final revised paper)
Latest update: 04 Mar 2021
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....
