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Satellite Constraints on the Latitudinal Distribution and Temperature Sensitivity of Wetland Methane Emissions

Ma, Shuang and Worden, John R. and Bloom, A. Anthony and Zhang, Yuzhong and Poulter, Benjamin and Cusworth, Daniel H. and Yin, Yi and Pandey, Sudhanshu and Maasakkers, Joannes D. and Lu, Xiao and Shen, Lu and Sheng, Jianxiong and Frankenberg, Christian and Miller, Charles E. and Jacob, Daniel J. (2021) Satellite Constraints on the Latitudinal Distribution and Temperature Sensitivity of Wetland Methane Emissions. AGU Advances, 2 (3). Art. No. e2021AV000408. ISSN 2576-604X. doi:10.1029/2021av000408. https://resolver.caltech.edu/CaltechAUTHORS:20211011-200720753

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Abstract

Wetland methane (CH₄) emissions comprise about one-third of the global CH₄ source. The latitudinal distribution and climate sensitivity of wetland CH₄ fluxes are the key determinants of the global CH₄-climate feedback. However, large differences exist between bottom-up estimates, informed by ground-based flux measurements, and top-down estimates derived from spaceborne total column CH₄. Despite the extensive coverage of satellite CH₄ concentration observations, challenges remain with using top-down estimates to test bottom-up models, mainly because of the uncertainties in the satellite retrievals, the model representation errors, the variable prior emissions, and the confounding role of the posterior error covariance structures. Here, we use satellite-based top-down CH₄ flux estimates (2010–2012) to test and refine 42 bottom-up estimates of wetland emissions that use a range of hypothesized wetland extents and process controls. Our comparison between bottom-up models and satellite-based fluxes innovatively accounts for cross-correlations and spatial uncertainties typically found in top-down inverse estimates, such that only the information from satellite observations and the atmospheric transport model is kept as a constraint. We present a satellite-constrained wetland CH₄ ensemble product derived from assembling the highest-performance bottom-up models, which estimates global wetland CH₄ emissions of 148 (117–189, 5th–95th percentile) Tg CH₄ yr⁻¹. We find that tropical wetland emissions contribute 72% (63%–85%) to the global wetland total. We also find that a lower-than-expected temperature sensitivity agrees better with atmospheric CH₄ measurements. Overall, our approach demonstrates the potential for using satellites to quantitatively refine bottom-up wetland CH₄ emission estimates, their latitudinal distributions, and their sensitivity to climate.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1029/2021av000408DOIArticle
https://doi.org/10.5281/zenodo.4052518DOI2010–2012 posterior wetland fluxes and the averaging kernel of the transport model
https://daac.ornl.gov/CMS/guides/CMS_Global_Monthly_Wetland_CH4.htmlRelated ItemWetCHARTs v1.0
https://doi.org/10.3334/ORNLDAAC/1915DOIWetCHARTs v1.3.1
http://apps.ecmwf.int/datasets/data/interim-full-mnthRelated ItemERA-Interim temperature and precipitation datasets
http://datashare.is.ed.ac.uk/handle/10283/875Related ItemCARDAMOM 2001–2010 heterotrophic respiration outputs
https://doi.org/10.18160/GCP-CH4-2019DOIGlobal Carbon Project v1 and v2
https://www.globalcarbonproject.org/methanebudgetRelated ItemGlobal Carbon Project
ORCID:
AuthorORCID
Ma, Shuang0000-0002-6494-724X
Worden, John R.0000-0003-0257-9549
Bloom, A. Anthony0000-0002-1486-1499
Zhang, Yuzhong0000-0001-5431-5022
Poulter, Benjamin0000-0002-9493-8600
Cusworth, Daniel H.0000-0003-0158-977X
Yin, Yi0000-0003-4750-4997
Pandey, Sudhanshu0000-0001-5938-385X
Maasakkers, Joannes D.0000-0001-8118-0311
Lu, Xiao0000-0002-5989-0912
Shen, Lu0000-0003-2787-7016
Sheng, Jianxiong0000-0002-8008-3883
Frankenberg, Christian0000-0002-0546-5857
Miller, Charles E.0000-0002-9380-4838
Jacob, Daniel J.0000-0002-6373-3100
Additional Information:© 2021 Jet Propulsion Laboratory. California Institute of Technology. Government sponsorship acknowledged. This article has been contributed to by US Government employees and their work is in the public domain in the USA. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. Issue Online: 15 September 2021; Version of Record online: 15 September 2021; Manuscript accepted: 12 July 2021; Manuscript revised: 09 July 2021; Manuscript received: 12 February 2021. Part of this research was carried out at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration. Funding for this study was provided through the NASA Carbon Monitoring System (CMS) grant (#NNH14ZDA001N-CMS), NASA CMS (#NNH18ZDA001N-CMS). Y. Zhang acknowledges funding by NSFC (Project 42007198) and Westlake University. The authors declare that they have no conflict of interest. Data Availability Statement: The data set for the 2010–2012 posterior wetland fluxes and the averaging kernel of the transport model is available at an open-access repository (https://doi.org/10.5281/zenodo.4052518; Zhang et al., 2021). The WetCHARTs v1.0 is available at the Oak Ridge National Laboratory Distributed Active Archive Center (ORNL DAAC, https://daac.ornl.gov/CMS/guides/CMS_Global_Monthly_Wetland_CH4.html). The WetCHARTs v1.3.1 is available at the ORNL DAAC, https://doi.org/10.3334/ORNLDAAC/1915. ERA-Interim temperature and precipitation datasets were obtained from http://apps.ecmwf.int/datasets/data/interim-full-mnth. CARDAMOM 2001–2010 heterotrophic respiration outputs are available at http://datashare.is.ed.ac.uk/handle/10283/875; Global Carbon Project v1 and v2 are available at https://doi.org/10.18160/GCP-CH4-2019 and from the Global Carbon Project (https://www.globalcarbonproject.org/methanebudget/).
Funders:
Funding AgencyGrant Number
NASA/JPL/CaltechUNSPECIFIED
NASANNH14ZDA001N-CMS
NASANNH18ZDA001N-CMS
National Natural Science Foundation of China42007198
Westlake UniversityUNSPECIFIED
Subject Keywords:wetland CH4; top-down constraints; terrestrial ecosystem models; climate sensitivity; global budget; latitudinal distribution
Issue or Number:3
DOI:10.1029/2021av000408
Record Number:CaltechAUTHORS:20211011-200720753
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20211011-200720753
Official Citation:Ma, S., Worden, J. R., Bloom, A. A., Zhang, Y., Poulter, B., Cusworth, D. H., et al. (2021). Satellite constraints on the latitudinal distribution and temperature sensitivity of wetland methane emissions. AGU Advances, 2, e2021AV000408. https://doi.org/10.1029/2021AV000408
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:111358
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:11 Oct 2021 22:03
Last Modified:11 Oct 2021 22:03

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