Academic literature on the topic 'Atmospheric methane'

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Journal articles on the topic "Atmospheric methane"

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Arora, Vivek K., Joe R. Melton, and David Plummer. "An assessment of natural methane fluxes simulated by the CLASS-CTEM model." Biogeosciences 15, no. 15 (August 1, 2018): 4683–709. http://dx.doi.org/10.5194/bg-15-4683-2018.

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Abstract. Natural methane emissions from wetlands and fire, and soil uptake of methane, simulated using the Canadian Land Surface Scheme and Canadian Terrestrial Ecosystem (CLASS-CTEM) modelling framework, over the historical 1850–2008 period, are assessed by using a one-box model of atmospheric methane burden. This one-box model also requires anthropogenic emissions and the methane sink in the atmosphere to simulate the historical evolution of global methane burden. For this purpose, global anthropogenic methane emissions for the period 1850–2008 were reconstructed based on the harmonized representative concentration pathway (RCP) and Emission Database for Global Atmospheric Research (EDGAR) data sets. The methane sink in the atmosphere is represented using bias-corrected methane lifetimes from the Canadian Middle Atmosphere Model (CMAM). The resulting evolution of atmospheric methane concentration over the historical period compares reasonably well with observation-based estimates (correlation = 0.99, root mean square error = 35 ppb). The modelled natural emissions are also assessed using an inverse procedure where the methane lifetimes required to reproduce the observed year-to-year increase in atmospheric methane burden are calculated based upon the specified global anthropogenic and modelled natural emissions that we have used here. These calculated methane lifetimes over the historical period fall within the uncertainty range of observation-based estimates. The present-day (2000–2008) values of modelled methane emissions from wetlands (169 Tg CH4 yr−1) and fire (27 Tg CH4 yr−1), methane uptake by soil (29 Tg CH4 yr−1), and the budget terms associated with overall anthropogenic and natural emissions are consistent with estimates reported in a recent global methane budget that is based on top-down approaches constrained by observed atmospheric methane burden. The modelled wetland emissions increase over the historical period in response to both increases in precipitation and in atmospheric CO2 concentration. This increase in wetland emissions over the historical period yields evolution of the atmospheric methane concentration that compares better with observation-based values than the case when wetland emissions are held constant over the historical period.
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Jensen, Sigmund, Anders Priemé, and Lars Bakken. "Methanol Improves Methane Uptake in Starved Methanotrophic Microorganisms." Applied and Environmental Microbiology 64, no. 3 (March 1, 1998): 1143–46. http://dx.doi.org/10.1128/aem.64.3.1143-1146.1998.

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ABSTRACT Methanotrophs in enrichment cultures grew and sustained atmospheric methane oxidation when supplied with methanol. If they were not supplied with methanol or formate, their atmospheric methane oxidation came to a halt, but it was restored within hours in response to methanol or formate. Indigenous forest soil methanotrophs were also dependent on a supply of methanol upon reduced methane access but only when exposed to a methane-free atmosphere. Their immediate response to each methanol addition, however, was to shut down the oxidation of atmospheric methane and to reactivate atmospheric methane oxidation as the methanol was depleted.
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Stevens, C. M. "Atmospheric methane." Chemical Geology 71, no. 1-3 (December 1988): 11–21. http://dx.doi.org/10.1016/0009-2541(88)90102-7.

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Gorham, Katrine A., Sam Abernethy, Tyler R. Jones, Peter Hess, Natalie M. Mahowald, Daphne Meidan, Matthew S. Johnson, et al. "Opinion: A research roadmap for exploring atmospheric methane removal via iron salt aerosol." Atmospheric Chemistry and Physics 24, no. 9 (May 15, 2024): 5659–70. http://dx.doi.org/10.5194/acp-24-5659-2024.

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Abstract. The escalating climate crisis requires rapid action to reduce the concentrations of atmospheric greenhouse gases and lower global surface temperatures. Methane will play a critical role in near-term warming due to its high radiative forcing and short atmospheric lifetime. Methane emissions have accelerated in recent years, and there is significant risk and uncertainty associated with the future growth in natural emissions. The largest natural sink of methane occurs through oxidation reactions with atmospheric hydroxyl and chlorine radicals. Enhanced atmospheric oxidation could be a potential approach to remove atmospheric methane. One method proposes the addition of iron salt aerosol (ISA) to the atmosphere, mimicking a natural process proposed to occur when mineral dust mixes with chloride from sea spray to form iron chlorides, which are photolyzed by sunlight to produce chlorine radicals. Under the right conditions, lofting ISA into the atmosphere could potentially reduce atmospheric methane concentrations and lower global surface temperatures. Recognizing that potential atmospheric methane removal must only be considered an additive measure – in addition to, not replacing, crucial anthropogenic greenhouse gas emission reductions and carbon dioxide removal – roadmaps can be a valuable tool to organize and streamline interdisciplinary and multifaceted research to efficiently move towards understanding whether an approach may be viable and socially acceptable or if it is nonviable and further research should be deprioritized. Here we present a 5-year research roadmap to explore whether ISA enhancement of the chlorine radical sink could be a viable and socially acceptable atmospheric methane removal approach.
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Catling, D. C., M. W. Claire, and K. J. Zahnle. "Anaerobic methanotrophy and the rise of atmospheric oxygen." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 365, no. 1856 (May 18, 2007): 1867–88. http://dx.doi.org/10.1098/rsta.2007.2047.

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In modern marine sediments, the anoxic decomposition of organic matter generates a significant flux of methane that is oxidized microbially with sulphate under the seafloor and never reaches the atmosphere. In contrast, prior to ca 2.4 Gyr ago, the ocean had little sulphate to support anaerobic oxidation of methane (AOM) and the ocean should have been an important methane source. As atmospheric O 2 and seawater sulphate levels rose on the early Earth, AOM would have increasingly throttled the release of methane. We use a biogeochemical model to simulate the response of early atmospheric O 2 and CH 4 to changes in marine AOM as sulphate levels increased. Semi-empirical relationships are used to parameterize global AOM rates and the evolution of sulphate levels. Despite broad uncertainties in these relationships, atmospheric O 2 concentrations generally rise more rapidly and to higher levels (of order approx. 10 −3 bar versus approx. 10 −4 bar) as a result of including AOM in the model. Methane levels collapse prior to any significant rise in O 2 , but counter-intuitively, methane re-rises after O 2 rises to higher levels when AOM is included. As O 2 concentrations increase, shielding of the troposphere by stratospheric ozone slows the effective reaction rate between oxygen and methane. This effect dominates over the decrease in the methane source associated with AOM. Thus, even with the inclusion of AOM, the simulated Late Palaeoproterozoic atmosphere has a climatologically significant level of methane of approximately 50 ppmv.
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Buzan, E. M., C. A. Beale, C. D. Boone, and P. F. Bernath. "Global stratospheric measurements of the isotopologues of methane from the Atmospheric Chemistry Experiment Fourier Transform Spectrometer." Atmospheric Measurement Techniques Discussions 8, no. 10 (October 29, 2015): 11171–207. http://dx.doi.org/10.5194/amtd-8-11171-2015.

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Abstract. This paper presents an analysis of observations of methane and its two major isotopologues, CH3D and 13CH4 from the Atmospheric Chemistry Experiment (ACE) satellite between 2004 and 2013. Additionally, atmospheric methane chemistry is modeled using the Whole Atmospheric Community Climate Model (WACCM). ACE retrievals of methane extend from 6 km for all isotopologues to 75 km for 12CH4, 35 km for CH3D, and 50 km for 13CH4. While total methane concentrations retrieved from ACE agree well with the model, values of δD–CH4 and δ13C–CH4 show a bias toward higher δ compared to the model and balloon-based measurements. Calibrating δD and δ13C from ACE using WACCM in the troposphere gives improved agreement in δD in the stratosphere with the balloon measurements, but values of δ13C still disagree. A model analysis of methane's atmospheric sinks is also performed.
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Duda, Adam. "The Impact of Atmospheric Pressure Changes on Methane Emission from Goafs to Coal Mine Workings." Energies 17, no. 1 (December 28, 2023): 173. http://dx.doi.org/10.3390/en17010173.

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Increased effectiveness of methane drainage from sealed post-mining goaves in hard coal mines contributes to reduced methane emission from goaves into the mine ventilation system. This paper focuses on issues concerning the assessment of the additional amount of methane released from the goaf into mine workings during periods of atmospheric pressure drops, which can be captured with a methane drainage system. Thanks to the solutions presented in the paper, it is possible to control the efficiency of the goaf drainage system, which in turn leads to the reduction of methane emission from the mine ventilation air into Earth’s atmosphere. These solutions are of great added value for both the environment and coal mines as they reduce the costs arising from greenhouse gas emissions that are incurred by mining companies, increasing the efficiency of methane capture and its use in gas engines or district heating systems. The paper uses relationships relating to the influence of atmospheric pressure changes on the process of gas release from the goaf according to the hysteresis loop of methane release during atmospheric pressure changes, which was developed based on conducted research. The analysis and conclusions presented in this paper may facilitate the development of strategies aimed at reducing methane emissions from a mine’s ventilated air into Earth’s atmosphere.
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Wang, Jin, and Qinghua Peter He. "Methane Removal from Air: Challenges and Opportunities." Methane 2, no. 4 (November 1, 2023): 404–14. http://dx.doi.org/10.3390/methane2040027.

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Driven by increasing greenhouse gas (GHG) concentrations in the atmosphere, extreme weather events have become more frequent and their impacts on human lives have become more severe. Therefore, the need for short-term GHG mitigations is urgent. Recently, methane has been recognized as an important mitigation target due to its high global warming potential (GWP). However, methane’s low concentration in the atmosphere and stable molecular structure make its removal from the air highly challenging. This review first discusses the fundamental aspects of the challenges in atmospheric methane removal and then briefly reviews the existing research strategies following the mechanisms of natural methane sinks. Although still in its infancy, recent research on methane removal from the air holds great potential for slowing down global warming. At the same time, it is important to carefully examine the energy consumption of these methane removal strategies and whether they will be able to achieve net GHG reduction. In addition, due to the scale of methane removal from the air, any potential solution’s environmental impacts must be carefully evaluated before it can be implemented in practice.
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Bussmann, Ingeborg, Eric P. Achterberg, Holger Brix, Nicolas Brüggemann, Götz Flöser, Claudia Schütze, and Philipp Fischer. "Influence of wind strength and direction on diffusive methane fluxes and atmospheric methane concentrations above the North Sea." Biogeosciences 21, no. 16 (August 29, 2024): 3819–38. http://dx.doi.org/10.5194/bg-21-3819-2024.

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Abstract. Quantification of the diffusive methane fluxes between the coastal ocean and atmosphere is important to constrain the atmospheric methane budget. The determination of the fluxes in coastal waters is characterized by a high level of uncertainty. To improve the accuracy of the estimation of coastal methane fluxes, high temporal and spatial sampling frequencies of dissolved methane in seawater are required, as well as the quantification of atmospheric methane concentrations, wind speed and wind direction above the ocean. In most cases, these atmospheric data are obtained from land-based atmospheric and meteorological monitoring stations in the vicinity of the coastal ocean methane observations. In this study, we measured wind speed, wind direction and atmospheric methane directly on board three research vessels in the southern North Sea and compared the local and remote atmospheric and meteorological measurements on the quality of the flux data. In addition, we assessed the source of the atmospheric methane measured in the study area in the German Bight using air mass back-trajectory assessments. The choice of the wind speed data source had a strong impact on the flux calculations. Fluxes based on wind data from nearby weather stations amounted to only 58 ± 34 % of values based on in situ data. Using in situ data, we calculated an average diffusive methane sea-to-air flux of 221 ± 351 µmol m−2 d−1 (n = 941) and 159 ± 444 µmol m−2 d−1 (n = 3028) for our study area in September 2019 and 2020, respectively. The area-weighted diffusive flux for the entire area of Helgoland Bay (3.78 × 109 m2) was 836 ± 97 and 600 ± 111 kmol d−1 for September 2019 and 2020, respectively. Using the median value of the diffusive fluxes for these extrapolations resulted in much lower values compared to area-weighted extrapolations or mean-based extrapolations. In general, at high wind speeds, the surface water turbulence is enhanced, and the diffusive flux increases. However, this enhanced methane input is quickly diluted within the air mass. Hence, a significant correlation between the methane flux and the atmospheric concentration was observed only at wind speeds < 5 m s−1. The atmospheric methane concentration was mainly influenced by the wind direction, i.e., the origin of the transported air mass. Air masses coming from industrial regions resulted in elevated atmospheric methane concentrations, while air masses coming from the North Sea transported reduced methane levels. With our detailed study on the spatial distribution of methane fluxes we were able to provide a detailed and more realistic estimation of coastal methane fluxes.
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Meng, L., R. Paudel, P. G. M. Hess, and N. M. Mahowald. "Seasonal and interannual variability in wetland methane emissions simulated by CLM4Me' and CAM-chem and comparisons to observations of concentrations." Biogeosciences 12, no. 13 (July 3, 2015): 4029–49. http://dx.doi.org/10.5194/bg-12-4029-2015.

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Abstract. Understanding the temporal and spatial variation of wetland methane emissions is essential to the estimation of the global methane budget. Our goal for this study is three-fold: (i) to evaluate the wetland methane fluxes simulated in two versions of the Community Land Model, the Carbon-Nitrogen (CN; i.e., CLM4.0) and the Biogeochemistry (BGC; i.e., CLM4.5) versions using the methane emission model CLM4Me' so as to determine the sensitivity of the emissions to the underlying carbon model; (ii) to compare the simulated atmospheric methane concentrations to observations, including latitudinal gradients and interannual variability so as to determine the extent to which the atmospheric observations constrain the emissions; (iii) to understand the drivers of seasonal and interannual variability in atmospheric methane concentrations. Simulations of the transport and removal of methane use the Community Atmosphere Model with chemistry (CAM-chem) model in conjunction with CLM4Me' methane emissions from both CN and BGC simulations and other methane emission sources from literature. In each case we compare model-simulated atmospheric methane concentration with observations. In addition, we simulate the atmospheric concentrations based on the TransCom wetland and rice paddy emissions derived from a different terrestrial ecosystem model, Vegetation Integrative Simulator for Trace gases (VISIT). Our analysis indicates CN wetland methane emissions are higher in the tropics and lower at high latitudes than emissions from BGC. In CN, methane emissions decrease from 1993 to 2004 while this trend does not appear in the BGC version. In the CN version, methane emission variations follow satellite-derived inundation wetlands closely. However, they are dissimilar in BGC due to its different carbon cycle. CAM-chem simulations with CLM4Me' methane emissions suggest that both prescribed anthropogenic and predicted wetlands methane emissions contribute substantially to seasonal and interannual variability in atmospheric methane concentration. Simulated atmospheric CH4 concentrations in CAM-chem are highly correlated with observations at most of the 14 measurement stations evaluated with an average correlation between 0.71 and 0.80 depending on the simulation (for the period of 1993–2004 for most stations based on data availability). Our results suggest that different spatial patterns of wetland emissions can have significant impacts on Northern and Southern hemisphere (N–S) atmospheric CH4 concentration gradients and growth rates. This study suggests that both anthropogenic and wetland emissions have significant contributions to seasonal and interannual variations in atmospheric CH4 concentrations. However, our analysis also indicates the existence of large uncertainties in terms of spatial patterns and magnitude of global wetland methane budgets, and that substantial uncertainty comes from the carbon model underlying the methane flux modules.
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Dissertations / Theses on the topic "Atmospheric methane"

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Tice, Dane Steven. "Ground-based near-infrared remote sounding of ice giant clouds and methane." Thesis, University of Oxford, 2014. http://ora.ox.ac.uk/objects/uuid:4f09f270-a25c-4d36-96d3-13070a594eaa.

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The ice giants, Uranus and Neptune, are the two outermost planets in our solar system. With only one satellite flyby each in the late 1980’s, the ice giants are arguably the least understood of the planets orbiting the Sun. A better understanding of these planets’ atmospheres will not only help satisfy the natural scientific curiosity we have about these distant spheres of gas, but also might provide insight into the dynamics and meteorology of our own planet’s atmosphere. Two new ground-based, near-infrared datasets of the ice giants are studied. Both datasets provide data in a portion of the electromagnetic spectrum that provides good constraint on the size of small scattering particles in the atmospheres’ clouds and haze layers. The broad extent of both telescopes’ spectral coverage allows characterisation of these small particles for a wide range of wavelengths. Both datasets also provide coverage of the 825 nm collision-induced hydrogen-absorption feature, allowing us to disentangle the latitudinal variation of CH4 abundance from the height and vertical extent of clouds in the upper troposphere. A two-cloud model is successfully fitted to IRTF SpeX Uranus data, parameterising both clouds with base altitude, fractional scale height, and total opacity. An optically thick, vertically thin cloud with a base pressure of 1.6 bar, tallest in the midlatitudes, shows strong preference for scattering particles of 1.35 μm radii. Above this cloud lies an optically thin, vertically extended haze extending upward from 1.0 bar and consistent with particles of 0.10 μm radii. An equatorial enrichment of methane abundance and a lower cloud of constant vertical thickness was shown to exist using two independent methods of analysis. Data from Palomar SWIFT of three different latitude regions.
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Knappett, Diane Shirley. "Observing the distribution of atmospheric methane from space." Thesis, University of Leicester, 2012. http://hdl.handle.net/2381/10928.

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Methane (CH4) is a potent greenhouse gas with a radiative forcing efficiency 21 times greater than that of carbon dioxide (CO2) and an atmospheric lifetime of approximately 12 years. Although the annual global source strength of CH4 is fairly well constrained, the temporal and spatial variability of individual sources and sinks is currently less well quantified. In order to constrain CH4 emission estimates, inversion models require satellite retrievals of XCH4 with an accuracy of < 1-2%. However, satellite retrievals of XCH4 in the shortwave infrared (SWIR) are often hindered by the presence of atmospheric aerosols and/or thin ice (cirrus) clouds which can lead to biases in the resulting trace gas total column of comparable magnitude. This thesis aims to quantify the magnitude of retrieval errors caused by aerosol and cirrus cloud induced scattering for the Full Spectral Initiation Weighting Function Modified Differential Optical Absorption Spectroscopy (FSI WFM-DOAS) retrieval algorithm. A series of sensitivity tests have been performed which reveal that a) for scenes of high optical depth, accurate aerosol a priori data is required to reduce retrieval errors, b) retrieval errors due to aerosol and ice cloud scattering are highly dependent on surface albedo, SZA and the altitude at which scattering occurs and c) errors induced in global retrievals by the presence of ice clouds (up to ~ 35%) are significantly greater than those owing to aerosols (~ 1-2%). Cloud filtering is therefore important even when employing proxy methods. Furthermore, the original FSI WFM-DOAS V2 algorithm (OFSI) has been successfully modified with improved a priori albedo and aerosol, resulting in two new versions of the retrieval: MFSI and GFSI. Initial comparison of OFSI, MFSI and GFSI retrievals of XCH4 over North America show minor improvements in retrieval error, however further comparison over regions of high optical depth are required.
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Warwick, Nicola Julie. "Global modelling of atmospheric methane and methyl bromide." Thesis, University of Cambridge, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.619980.

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Teama, Doaa Galal. "A 30-Year Record of the Isotopic Composition of Atmospheric Methane." Thesis, Portland State University, 2013. http://pqdtopen.proquest.com/#viewpdf?dispub=3557627.

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<p> Methane (CH<sub>4</sub>) is one of the most important greenhouse gases after water vapor and carbon dioxide due to its high concentration and global warming potential 25 times than that of CO<sub>2</sub>(based on a 100 year time horizon). Its atmospheric concentration has more than doubled from the preindustrial era due to anthropogenic activities such as rice cultivation, biomass burning, and fossil fuel production. However, the rate of increase of atmospheric CH<sub>4</sub> (or the growth rate) slowed from 1980 until present. The main reason for this trend is a slowdown in the trend of CH<sub> 4</sub>sources. Measuring stable isotopes of atmospheric CH<sub>4</sub> can constrain changes of CH<sub>4</sub>sources. The main goal of this work is to interpret the CH<sub>4</sub> trend from 1978-2010 in terms of its sources using measurements of CH<sub>4</sub> mixing ratio and its isotopes. </p><p> The current work presents the measurements and analysis of CH<sub>4</sub> and its isotopes (&delta;<sup>13</sup>C and &delta;D) of four air archive sample sets collected by the Oregon Graduate Institute (OGI). CH<sub>4</sub> isotope ratios (&delta;<sup>13</sup>C and &delta;D) were measured by a continuous flow isotope ratio mass spectrometer technique developed at PSU. The first set is for Cape Meares, Oregon which is the oldest and longest set and spans 1977-1999. The integrity of this sample set was evaluated by comparing between our measured CH<sub>4</sub> mixing ratio values with those measured values by OGI and was found to be stable. Resulting CH<sub>4</sub> seasonal cycle was evaluated from the Cape Meares data. The CH<sub>4</sub> seasonal cycle shows a broad maximum during October-April and a minimum between July and August. The seasonal cycles of &delta;<sup>13</sup>C and &delta;D have maximum values in May for &delta;<sup>13</sup>C and in July for &delta;D and minimum values between September-October for &delta;<sup>13</sup>C and in October for &delta;D. These results indicate a CH<sub>4</sub> source that is more enriched January-May (e.g. biomass burning) and a source that is more depleted August-October (e.g. microbial). In addition to Cape Meares, air archive sets were analyzed from: South Pole (SPO), Samoa (SMO), Mauna Loa (MLO) 1992-1996. The presented &delta;D measurements are unique measured values during these time periods at these stations. </p><p> To obtain the long-term in isotopic CH<sub>4</sub> from 1978-2010, other datasets of Northern Hemisphere mid-latitude sites are included with Cape Meares. These sites are Olympic Peninsula, Washington; Monta&ntilde;a de Oro, California; and Niwot Ridge, Colorado. The seasonal cycles of CH<sub>4</sub> and its isotopes from the composite dataset have the same phase and amplitudes as the Cape Meares site. CH<sub>4</sub> growth rate shows a decrease over time 1978-2010 with three main spikes in 1992, 1998, and 2003 consistent with the literature from the global trend. CH<sub>4</sub> lifetime is estimated to 9.7 yrs. The &delta;<sup>13</sup>C trend in the composite data shows a slow increase from 1978-1987, a more rapid rate of change 1987-2005, and a gradual depletion during 2005-2010. The &delta;D trend in the composite data shows a gradual increase during 1978-2001 and decrease from 2001-2005. From these results, the global CH<sub>4</sub> emissions are estimated and show a leveling off sources 1982-2010 with two large peak anomalies in 1998 and 2003. The global average &delta;<sup>13</sup>C and &delta;D of CH<sub> 4</sub> sources are estimated from measured values. The results of these calculations indicate that there is more than one source which controls the decrease in the global CH4 trend. From 1982-2001, &delta;<sup>13</sup>C and &delta;D of CH<sub>4</sub> sources becomes more depleted due to a decrease in fossil and/or biomass burning sources relative to microbial sources. From 2005-2010, &delta;<sup> 13</sup>C of CH<sub>4</sub> sources returns to its 1981 value. There are two significant peaks in &delta;<sup>13</sup>C and &delta;D of CH<sub> 4</sub> sources in 1998 and 2003 due to the wildfire emissions in boreal areas and in Europe.</p>
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Wecht, Kevin James. "Quantifying Methane Emissions Using Satellite Observations." Thesis, Harvard University, 2013. http://dissertations.umi.com/gsas.harvard:11252.

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Methane is the second most influential anthropogenic greenhouse gas. There are large uncertainties in the magnitudes and trends of methane emissions from different source types and source regions. Satellite observations of methane offer dense spatial coverage unachievable by suborbital observations. This thesis evaluates the capabilities of using satellite observations of atmospheric methane to provide high-resolution constraints on continental scale methane emissions. In doing so, I seek to evaluate the supporting role of suborbital observations, to inform the emission inventories on which policy decisions are based, and to enable inverse modeling of the next generation of satellite observations.<br>Earth and Planetary Sciences
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Butterworth, Anna Lucy. "Determination of the combined isotopic composition of atmospheric methane." Thesis, Open University, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.264463.

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Butenhoff, Christopher Lee. "Investigation of the sources and sinks of atmospheric methane." PDXScholar, 2010. https://pdxscholar.library.pdx.edu/open_access_etds/2813.

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The work presented here represents a number of independent studies that investigated various components of the CH4 budget, namely the sources and sinks. We used a chemical-tracer model and created unique long-term time series of atmospheric CH4, carbon monoxide (CO), molecular hydrogen (H2), and methylchloroform (CH3CCl3) measurements at marine background air to derive histories of atmospheric hydroxyl radical (OH) - the main chemical oxidant of CH4, biomass burning - an important source of CH4 in the tropics, and emissions of CH4 from rice paddies - one of the largest anthropogenic sources of CH4, over decadal scales. Globally gridded inventories of CH4 emissions from rice paddies and terrestrial vegetation were created by synthesizing greenhouse and field CH4 fluxes, satellite-derived biophysical data, and terrestrial geospatial information.
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Srong, E. Kimberley. "Spectral parameters of methane for remote sounding of the Jovian atmosphere." Thesis, University of Oxford, 1992. http://ora.ox.ac.uk/objects/uuid:0f870f86-c546-461d-aca7-61f1ccc249df.

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Spectroscopic measurements in the infrared have proven to be a valuable source of information about the Jovian atmosphere. However, numerous questions remain, many of which will be addressed by the Galileo μission, due to arrive at Jupiter in December, 1995. One of the instruments on Galileo is the Near-Infrared Mapping Spectrometer (NIMS), which will measure temperature structure, cheμical composition, and cloud properties. The objective of the work described in this thesis was to investigate the transmittance properties of the Jovian atmosphere and, in particular, to obtain transmittance functions of CH<sub>4</sub> for future use in the planning and interpretation of NIMS measurements. This thesis begins with a review of our current understanding of the Jovian atmosphere (Chapter 1), and a description of the Galileo μission and the design and objectives of NIMS (Chapter 2). It is then shown (Chapter 3) that absorption bands of CH<sub>4</sub> doμinate the nearinfrared spectrum of Jupiter, but that line data for CH<sub>4</sub> are currently inadequate over much of the NIMS spectral range (0.7-5.2 /μi). For the purposes of NIMS, which has a low resolution of 0.25 /μi, the spectrum of CH<sub>4</sub> can be characterised using band models of transmittance as a function of temperature, pressure, and abundance. The theory of band modelling is presented, and previous band-modelling studies of CH<sub>4</sub> are reviewed and are also shown to be inadequate for NIMS (Chapter 4). An experimental investigation was therefore undertaken to record CH<sub>4</sub> spectra under Jovian conditions of low temperature, large abundance, and H<sub>2</sub>-broadening. The experimental resources used to obtain these spectra are described (Chapter 5), the generation of the transmittance spectra is discussed, and their quality is assessed (Chapter 6). The range of frequencies and laboratory conditions covered by these spectra (listed in Appendix A) makes them one of the most comprehensive data sets of this kind yet published. These spectra were subsequently used to derive transmittance functions for CH<sub>4</sub> (Chapter 7). A variety of models were fitted to the self-broadened CH<sub>4</sub> spectra, and the Goody and Malkmus random band models, using the Voigt lineshape, are shown to provide the best fits. These two models were then fitted to the combined set of self- and H<sub>2</sub>-broadened CH<sub>4</sub> spectra. The parameters fitted with the Goody-Voigt model are included in this thesis (Appendices B and C). Finally, the application of these new band model fits to the problem of Jovian remote sounding is addressed (Chapter 8). This includes an assessment of the reliability of extrapolation to Jovian conditions, a calculation of the level in the Jovian atmosphere that will be sounded by observations of CH<sub>4</sub> absorption, and a calculation of how the uncertainties in the fitted band model will affect the retrieval of atmospheric parameters from NIMS spectra. This thesis concludes with a detailed summary, and with suggestions for future investigations which will help to maximise the return of information from NIMS.
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Snover, Amy Katherine. "The stable hydrogen isotopic composition of methane emitted from biomass burning and removed by oxic soils : application to the atmospheric methane budget /." Thesis, Connect to this title online; UW restricted, 1998. http://hdl.handle.net/1773/11570.

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Bräunlich, Maya. "Study of atmospheric carbon monoxide and methane Untersuchung von atmosphärischen Kohlenmonoxid und Methan anhand von Isotopenmessungen /." [S.l. : s.n.], 2000. http://www.bsz-bw.de/cgi-bin/xvms.cgi?SWB8832641.

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Books on the topic "Atmospheric methane"

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Khalil, Mohammad Aslam Khan, ed. Atmospheric Methane. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-662-04145-1.

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H, Bruhl Christoph, Thompson Anne M, and United States. Environmental Protection Agency., eds. The current and future environmental role of atmospheric methane: Model studies and uncertainties. [Washington, D.C: U.S. Environmental Protection Agency, 1992.

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M, Bruhl Christoph, Thompson Anne M, and United States. National Aeronautics and Space Administration., eds. The current and future environmental role of atmospheric methane: Model studies and uncertainties. [Washington, DC: National Aeronautics and Space Administration, 1993.

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M, McIntosh Catherine, and Environmental Research Laboratories (U.S.), eds. Atmospheric CH₄ seasonal cycles and latitude gradient from the NOAA CMDL cooperative air sampling network : Forecast Systems Laboratory, Boulder, Colorado, August 1996. Boulder, Colo: United States Department of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, 1996.

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Workshop, WMO/UNEP Intergovernmental Panel on Climate Change International IPCC. Methane and nitrous oxide: Methods in national emissions inventories and options for control : proceedings, Euroase Hotel, Amersfoort, the Netherlands, 3-5 February 1993. Bilthoven, the Netherlands: National Institute of Public Health and Environmental Protection, 1993.

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Khalil, M. A. K., ed. Atmospheric Methane: Sources, Sinks, and Role in Global Change. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-84605-2.

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Khalil, M. A. K. 1950-, North Atlantic Treaty Organization. Scientific Affairs Division., and NATO Advanced Research Workshop on the Atmospheric Methane Cycle: Sources, Sinks, Distributions, and Role in Global Change (1991 : Portland, Or.), eds. Atmospheric methane: Sources, sinks, and role in global change. Berlin: Springer-Verlag, 1993.

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Steele, L. Paul. Atmospheric methane concentrations: The NOAA/CMDL Global Cooperative Flask Sampling Network, 1983-1988. Oak Ridge, Tenn: Oak Ridge National Laboratory, 1991.

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M, Lang Patricia, and Climate Monitoring and Diagnostics Laboratory (U.S.), eds. Atmospheric methane data for 1989-1992 from the NOAA/CMDL global cooperative air sampling network. Boulder, Colo: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, Climate Monitoring and Diagnostics Laboratory, 1994.

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Lang, Patricia M. Atmospheric methane data for the period 1986-1986 from the NOAA/CMDL global cooperative flask sampling network. Boulder, Colo: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, Climate Monitoring and Diagnostics Laboratory, 1990.

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Book chapters on the topic "Atmospheric methane"

1

Khalil, M. A. K. "Atmospheric Methane: An Introduction." In Atmospheric Methane, 1–8. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-662-04145-1_1.

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Shearer, M. J., and M. A. K. Khalil. "Rice Agriculture: Emissions." In Atmospheric Methane, 170–89. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-662-04145-1_10.

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Levine, Joel S., Wesley R. Cofer, and Joseph P. Pinto. "Biomass Burning." In Atmospheric Methane, 190–201. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-662-04145-1_11.

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Matthews, Elaine. "Wetlands." In Atmospheric Methane, 202–33. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-662-04145-1_12.

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Thorneloe, Susan A., Morton A. Barlaz, Rebecca Peer, L. C. Huff, Lee Davis, and Joe Mangino. "Waste Management." In Atmospheric Methane, 234–62. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-662-04145-1_13.

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Kirchgessner, David A. "Fossil Fuel Industries." In Atmospheric Methane, 263–79. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-662-04145-1_14.

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Judd, A. G. "Geological Sources of Methane." In Atmospheric Methane, 280–303. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-662-04145-1_15.

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Wuebbles, Donald J., Katharine A. S. Hayhoe, and Rao Kotamarthi. "Methane in the Global Environment." In Atmospheric Methane, 304–41. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-662-04145-1_16.

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Chappellaz, J., D. Raynaud, T. Blunier, and B. Stauffer. "The Ice Core Record of Atmospheric Methane." In Atmospheric Methane, 9–24. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-662-04145-1_2.

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Stevens, C. M., and M. Wahlen. "The Isotopic Composition of Atmospheric Methane and Its Sources." In Atmospheric Methane, 25–41. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-662-04145-1_3.

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Conference papers on the topic "Atmospheric methane"

1

Park, J. Y., H. Lee, J. Kim, J. Kim, Y. Lee, and S. Lee. "Methane absorption ability improvement of MOF-801 atmospheric pressure plasma treatment." In 2024 IEEE International Conference on Plasma Science (ICOPS), 1. IEEE, 2024. http://dx.doi.org/10.1109/icops58192.2024.10625888.

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Kryuchkov, Alexander V., Viktor V. Filatov, Marianna P. Gerasimova, and Sergey A. Sadovnikov. "Fiber optical meter of methane in atmosphere." In XXIX International Symposium "Atmospheric and Ocean Optics, Atmospheric Physics", edited by Oleg A. Romanovskii. SPIE, 2023. http://dx.doi.org/10.1117/12.2690949.

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Tsvetova, Elena A. "Modeling of hydrodynamics of water-methane heterogeneous system." In XXI International Symposium Atmospheric and Ocean Optics. Atmospheric Physics, edited by Oleg A. Romanovskii. SPIE, 2015. http://dx.doi.org/10.1117/12.2205998.

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Meng, Lichun, Andreas Fix, Lasse Høgstedt, Peter Tidemand-Lichtenberg, Christian Pedersen, and Peter John Rodrigo. "Upconversion Detector for Methane Atmospheric Sensor." In Optics and Photonics for Energy and the Environment. Washington, D.C.: OSA, 2017. http://dx.doi.org/10.1364/ee.2017.ew4b.2.

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Jarem, John M., Joseph H. Pierluissi, and William W. Ng. "A Transmittance Model For Atmospheric Methane." In 28th Annual Technical Symposium, edited by Richard A. Mollicone and Irving J. Spiro. SPIE, 1985. http://dx.doi.org/10.1117/12.945011.

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Fiedler, Michael, C. Goelz, and Ulrich Platt. "Nonresonant photoacoustic monitoring of atmospheric methane." In Environmental Sensing '92, edited by Harold I. Schiff and Ulrich Platt. SPIE, 1993. http://dx.doi.org/10.1117/12.140227.

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van Herpen, Maarten, Matthew Johnson, Berend van de Kraats, Qinyi Li, Alfonso Saiz-Lopez, Jesper Liisberg, Luisa Pennacchio, and Thomas Röckmann. "ISAMO (Iron Salt Atmospheric Methane Oxidation)." In Goldschmidt2023. France: European Association of Geochemistry, 2023. http://dx.doi.org/10.7185/gold2023.20643.

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Tanichev, Aleksandr S. "Method for fast modeling ν2 Raman band of methane". У 27th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics, редактори Oleg A. Romanovskii та Gennadii G. Matvienko. SPIE, 2021. http://dx.doi.org/10.1117/12.2603359.

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Voitsekhovskaya, Olga, Vitaliy Loskutov, Olga V. Shefer, and Danila Kashirskii. "Transmission of radiant energy by gas-aerosol medium containing methane." In XXIII International Symposium, Atmospheric and Ocean Optics, Atmospheric Physics, edited by Oleg A. Romanovskii and Gennadii G. Matvienko. SPIE, 2017. http://dx.doi.org/10.1117/12.2284933.

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Ageev, Boris, and Yury Ponomarev. "Estimate of methane-capacity of aerogel samples of different compositions." In XXIV International Symposium, Atmospheric and Ocean Optics, Atmospheric Physics, edited by Oleg A. Romanovskii and Gennadii G. Matvienko. SPIE, 2018. http://dx.doi.org/10.1117/12.2503956.

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Reports on the topic "Atmospheric methane"

1

Strand, Stuart, Neil Bruce, Liz Rylott, and Long Zhang. Phytoremediation of Atmospheric Methane. Fort Belvoir, VA: Defense Technical Information Center, April 2013. http://dx.doi.org/10.21236/ada579442.

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Butenhoff, Christopher. Investigation of the sources and sinks of atmospheric methane. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.2807.

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Hannah Dion-Kirschner, Hannah Dion-Kirschner. Investigating sage ecosystems as hotspots for atmospheric methane removal. Experiment, January 2025. https://doi.org/10.18258/75776.

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Safta, Cosmin, Ray Bambha, and Hope Michelsen. Estimating Regional Methane Emissions Through Atmospheric Measurements and Inverse Modeling. Office of Scientific and Technical Information (OSTI), September 2019. http://dx.doi.org/10.2172/1569345.

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Teama, Doaa. A 30-Year Record of the Isotopic Composition of Atmospheric Methane. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.642.

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Costigan, Keeley Rochelle, and Manvendra Krishna Dubey. Multi-scale Atmospheric Modeling of Green House Gas Dispersion in Complex Terrain. Atmospheric Methane at Four Corners. Office of Scientific and Technical Information (OSTI), July 2015. http://dx.doi.org/10.2172/1193618.

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Steele, L., P. Lang, and R. Sepanski. Atmospheric methane concentrations---the NOAA/CMDL global cooperative flask sampling network, 1983--1988. Office of Scientific and Technical Information (OSTI), May 1991. https://doi.org/10.2172/5480352.

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Lauvaux, Thomas. TA [2] Continuous, regional methane emissions estimates in northern Pennsylvania gas fields using atmospheric inversions. Office of Scientific and Technical Information (OSTI), December 2017. http://dx.doi.org/10.2172/1417183.

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McFarlane, Karis J. Final Report for Wetlands as a Source of Atmospheric Methane: A Multiscale and Multidisciplinary Approach. Office of Scientific and Technical Information (OSTI), October 2016. http://dx.doi.org/10.2172/1333394.

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Jacobson, A. R., J. B. Miller, A. Ballantyne, S. Basu, L. Bruhwiler, A. Chatterjee, S. Denning, and L. Ott. Chapter 8: Observations of Atmospheric Carbon Dioxide and Methane. Second State of the Carbon Cycle Report. Edited by N. Cavallaro, G. Shrestha, R. Birdsey, M. A. Mayes, R. Najjar, S. Reed, P. Romero-Lankao, and Z. Zhu. U.S. Global Change Research Program, 2018. http://dx.doi.org/10.7930/soccr2.2018.ch8.

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