3
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Gridded maps of geological methane emissions and their isotopic signature

      , , ,
      Earth System Science Data
      Copernicus GmbH

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          <p><strong>Abstract.</strong> Methane (<span class="inline-formula">CH<sub>4</sub></span>) is a powerful greenhouse gas, whose natural and anthropogenic emissions contribute <span class="inline-formula">∼20</span><span class="thinspace"></span>% to global radiative forcing. Its atmospheric budget (sources and sinks), however, has large uncertainties. Inverse modelling, using atmospheric <span class="inline-formula">CH<sub>4</sub></span> trends, spatial gradients and isotopic source signatures, has recently improved the major source estimates and their spatial–temporal variation. Nevertheless, isotopic data lack <span class="inline-formula">CH<sub>4</sub></span> source representativeness for many sources, and their isotopic signatures are affected by incomplete knowledge of the spatial distribution of some sources, especially those related to fossil (radiocarbon-free) and microbial gas. This gap is particularly wide for geological <span class="inline-formula">CH<sub>4</sub></span> (geo-<span class="inline-formula">CH<sub>4</sub></span>) seepage, i.e. the natural degassing of hydrocarbons from the Earth's crust. While geological seepage is widely considered a major source of atmospheric <span class="inline-formula">CH<sub>4</sub></span>, it has been largely neglected in 3-D inverse <span class="inline-formula">CH<sub>4</sub></span> budget studies given the lack of detailed a priori gridded emission maps. Here, we report for the first time global gridded maps of geological <span class="inline-formula">CH<sub>4</sub></span> sources, including emission and isotopic data. The <span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M10" display="inline" overflow="scroll" dspmath="mathml"><mrow><mn mathvariant="normal">1</mn><msup><mi/><mo>∘</mo></msup><mo>×</mo><mn mathvariant="normal">1</mn><msup><mi/><mo>∘</mo></msup></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="34pt" height="11pt" class="svg-formula" dspmath="mathimg" md5hash="d51f79310cf40393ef273310a737fadb"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="essd-11-1-2019-ie00001.svg" width="34pt" height="11pt" src="essd-11-1-2019-ie00001.png"/></svg:svg></span></span> maps include the four main categories of natural geo-<span class="inline-formula">CH<sub>4</sub></span> emission: (a) onshore hydrocarbon macro-seeps, including mud volcanoes, (b) submarine (offshore) seeps, (c) diffuse microseepage and (d) geothermal manifestations. An inventory of point sources and area sources was developed for each category, defining areal distribution (activity), <span class="inline-formula">CH<sub>4</sub></span> fluxes (emission factors) and its stable C isotope composition (<span class="inline-formula"><i>δ</i><sup>13</sup>C</span>-<span class="inline-formula">CH<sub>4</sub></span>). These parameters were determined considering geological factors that control methane origin and seepage (e.g. petroleum fields, sedimentary basins, high heat flow regions, faults, seismicity). The global geo-source map reveals that the regions with the highest <span class="inline-formula">CH<sub>4</sub></span> emissions are all located in the Northern Hemisphere, in North America, in the Caspian region, in Europe and in the East Siberian Arctic Shelf. The globally gridded <span class="inline-formula">CH<sub>4</sub></span> emission estimate (37<span class="thinspace"></span>Tg<span class="thinspace"></span>yr<span class="inline-formula"><sup>−1</sup></span> exclusively based on data and modelling specifically targeted for gridding, and 43–50<span class="thinspace"></span>Tg<span class="thinspace"></span>yr<span class="inline-formula"><sup>−1</sup></span> when extrapolated to also account for onshore and submarine seeps with no location specific measurements available) is compatible with published ranges derived using top-down and bottom-up procedures. Improved activity and emission factor data allowed previously published mud volcanoes and microseepage emission estimates to be refined. The emission-weighted global mean <span class="inline-formula"><i>δ</i><sup>13</sup>C</span>-<span class="inline-formula">CH<sub>4</sub></span> source signature of all geo-<span class="inline-formula">CH<sub>4</sub></span> source categories is about <span class="inline-formula">−49</span><span class="thinspace"></span>‰. This value is significantly lower than those attributed so far in inverse studies to fossil fuel sources (<span class="inline-formula">−44</span><span class="thinspace"></span>‰) and geological seepage (<span class="inline-formula">−38</span><span class="thinspace"></span>‰). It is expected that using this updated, more <span class="inline-formula"><sup>13</sup>C</span>-depleted, isotopic signature in atmospheric modelling will increase the top-down estimate of the geological <span class="inline-formula">CH<sub>4</sub></span> source. The geo-<span class="inline-formula">CH<sub>4</sub></span> emission grid maps can now be used to improve atmospheric <span class="inline-formula">CH<sub>4</sub></span> modelling, thereby improving the accuracy of the fossil fuel and microbial components. Grid csv (comma-separated values) files are available at <a href="https://doi.org/10.25925/4j3f-he27">https://doi.org/10.25925/4j3f-he27</a>.</p>

          Related collections

          Most cited references44

          • Record: found
          • Abstract: found
          • Article: not found
          Is Open Access

          The global methane budget 2000–2012

          The global methane (CH 4 ) budget is becoming an increasingly important component for managing realistic pathways to mitigate climate change. This relevance, due to a shorter atmospheric lifetime and a stronger warming potential than carbon dioxide, is challenged by the still unexplained changes of atmospheric CH 4 over the past decade. Emissions and concentrations of CH 4 are continuing to increase, making CH 4 the second most important human-induced greenhouse gas after carbon dioxide. Two major difficulties in reducing uncertainties come from the large variety of diffusive CH 4 sources that overlap geographically, and from the destruction of CH 4 by the very short-lived hydroxyl radical (OH). To address these difficulties, we have established a consortium of multi-disciplinary scientists under the umbrella of the Global Carbon Project to synthesize and stimulate research on the methane cycle, and producing regular (∼ biennial) updates of the global methane budget. This consortium includes atmospheric physicists and chemists, biogeochemists of surface and marine emissions, and socio-economists who study anthropogenic emissions. Following Kirschke et al. (2013), we propose here the first version of a living review paper that integrates results of top-down studies (exploiting atmospheric observations within an atmospheric inverse-modelling framework) and bottom-up models, inventories and data-driven approaches (including process-based models for estimating land surface emissions and atmospheric chemistry, and inventories for anthropogenic emissions, data-driven extrapolations). For the 2003–2012 decade, global methane emissions are estimated by top-down inversions at 558 Tg CH 4  yr −1 , range 540–568. About 60 % of global emissions are anthropogenic (range 50–65 %). Since 2010, the bottom-up global emission inventories have been closer to methane emissions in the most carbon-intensive Representative Concentrations Pathway (RCP8.5) and higher than all other RCP scenarios. Bottom-up approaches suggest larger global emissions (736 Tg CH 4  yr −1 , range 596–884) mostly because of larger natural emissions from individual sources such as inland waters, natural wetlands and geological sources. Considering the atmospheric constraints on the top-down budget, it is likely that some of the individual emissions reported by the bottom-up approaches are overestimated, leading to too large global emissions. Latitudinal data from top-down emissions indicate a predominance of tropical emissions (∼ 64 % of the global budget, &lt; 30° N) as compared to mid (∼ 32 %, 30–60° N) and high northern latitudes (∼ 4 %, 60–90° N). Top-down inversions consistently infer lower emissions in China (∼ 58 Tg CH 4  yr −1 , range 51–72, −14 %) and higher emissions in Africa (86 Tg CH 4  yr −1 , range 73–108, +19 %) than bottom-up values used as prior estimates. Overall, uncertainties for anthropogenic emissions appear smaller than those from natural sources, and the uncertainties on source categories appear larger for top-down inversions than for bottom-up inventories and models. The most important source of uncertainty on the methane budget is attributable to emissions from wetland and other inland waters. We show that the wetland extent could contribute 30–40 % on the estimated range for wetland emissions. Other priorities for improving the methane budget include the following: (i) the development of process-based models for inland-water emissions, (ii) the intensification of methane observations at local scale (flux measurements) to constrain bottom-up land surface models, and at regional scale (surface networks and satellites) to constrain top-down inversions, (iii) improvements in the estimation of atmospheric loss by OH, and (iv) improvements of the transport models integrated in top-down inversions. The data presented here can be downloaded from the Carbon Dioxide Information Analysis Center ( http://doi.org/10.3334/CDIAC/GLOBAL_METHANE_BUDGET_2016_V1.1 ) and the Global Carbon Project.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Contribution of anthropogenic and natural sources to atmospheric methane variability.

            Methane is an important greenhouse gas, and its atmospheric concentration has nearly tripled since pre-industrial times. The growth rate of atmospheric methane is determined by the balance between surface emissions and photochemical destruction by the hydroxyl radical, the major atmospheric oxidant. Remarkably, this growth rate has decreased markedly since the early 1990s, and the level of methane has remained relatively constant since 1999, leading to a downward revision of its projected influence on global temperatures. Large fluctuations in the growth rate of atmospheric methane are also observed from one year to the next, but their causes remain uncertain. Here we quantify the processes that controlled variations in methane emissions between 1984 and 2003 using an inversion model of atmospheric transport and chemistry. Our results indicate that wetland emissions dominated the inter-annual variability of methane sources, whereas fire emissions played a smaller role, except during the 1997-1998 El Niño event. These top-down estimates of changes in wetland and fire emissions are in good agreement with independent estimates based on remote sensing information and biogeochemical models. On longer timescales, our results show that the decrease in atmospheric methane growth during the 1990s was caused by a decline in anthropogenic emissions. Since 1999, however, they indicate that anthropogenic emissions of methane have risen again. The effect of this increase on the growth rate of atmospheric methane has been masked by a coincident decrease in wetland emissions, but atmospheric methane levels may increase in the near future if wetland emissions return to their mean 1990s levels.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Upward revision of global fossil fuel methane emissions based on isotope database.

              Methane has the second-largest global radiative forcing impact of anthropogenic greenhouse gases after carbon dioxide, but our understanding of the global atmospheric methane budget is incomplete. The global fossil fuel industry (production and usage of natural gas, oil and coal) is thought to contribute 15 to 22 per cent of methane emissions to the total atmospheric methane budget. However, questions remain regarding methane emission trends as a result of fossil fuel industrial activity and the contribution to total methane emissions of sources from the fossil fuel industry and from natural geological seepage, which are often co-located. Here we re-evaluate the global methane budget and the contribution of the fossil fuel industry to methane emissions based on long-term global methane and methane carbon isotope records. We compile the largest isotopic methane source signature database so far, including fossil fuel, microbial and biomass-burning methane emission sources. We find that total fossil fuel methane emissions (fossil fuel industry plus natural geological seepage) are not increasing over time, but are 60 to 110 per cent greater than current estimates owing to large revisions in isotope source signatures. We show that this is consistent with the observed global latitudinal methane gradient. After accounting for natural geological methane seepage, we find that methane emissions from natural gas, oil and coal production and their usage are 20 to 60 per cent greater than inventories. Our findings imply a greater potential for the fossil fuel industry to mitigate anthropogenic climate forcing, but we also find that methane emissions from natural gas as a fraction of production have declined from approximately 8 per cent to approximately 2 per cent over the past three decades.
                Bookmark

                Author and article information

                Journal
                Earth System Science Data
                Earth Syst. Sci. Data
                Copernicus GmbH
                1866-3516
                2019
                January 07 2019
                : 11
                : 1
                : 1-22
                Article
                10.5194/essd-11-1-2019
                c6423bcf-2ade-484e-893d-54b79b1742f1
                © 2019

                https://creativecommons.org/licenses/by/4.0/

                History

                Comments

                Comment on this article