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Found 9854 publications. Showing page 169 of 395:

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Year  
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Methane in Svalbard (SvalGaSess)

Hodson, Andrew; Kleber, Gabrielle Emma; Platt, Stephen Matthew; Kalenitchenko, Dimitri Stanislas Desire; Hengsens, Geert; Irvine-Fynn, Tristram; Senger, Kim; Tveit, Alexander Tøsdal; Øvreås, Lise; ten Hietbrink, Sophie; Hollander, Jamie; Ammerlaan, Fenna; Damm, Ellen; Römer, Miriam; Fransson, Agneta; Chierici, Melissa; Delpech, Lisa-Marie; Pirk, Norbert; Sen, Arunima; Redecker, Kelly

Methane is a powerful greenhouse gas whose emission into the atmosphere from Arctic environments is increasing in response to climate change. At present, the increase in atmospheric methane concentrations recorded at Ny-Ålesund and globally threatens the Paris Agreement goal of limiting warming to 2 degrees, preferably 1.5 degrees, by increasing the need for abatements. However, our understanding of the physical, chemical and biological processes that control methane in the Arctic are strongly biased towards just a few lowland sites that are not at all like Svalbard and other similar mountainous, ice-covered regions. Svalbard can therefore be used to better understand these locations. Svalbard’s methane stocks include vast reserves of ancient, geogenic methane trapped beneath glaciers and permafrost. This methane supplements the younger, microbial methane mostly produced in waterlogged soils and wetlands during the summer and early winter. Knowledge about the production, removal and migration of these two methane sources in Svalbard’s complex landscapes and coastal environments has grown rapidly in recent years. However, the need to exploit this knowledge to produce reliable estimates of present-day and future emissions of methane from across the Svalbard landscape is now paramount. This is because understanding these quantities is absolutely necessary when we seek to define how society must adjust in order to better manage greenhouse gases in Earth’s atmosphere

2025

Methane in Svalbard (SvalGaSess)

Hodson, Andy; Kleber, Gabby; Platt, Stephen Matthew; Kalenitchenko, Dimitri; Hensgens, Geert; Irvine-Fynn, Tristram; Senger, Kim; Tveit, Alexander; Øverås, Lise; ten Hietbrink, Sophie; Hollander, Jamie; Ammerlaan, Fenna; Damm, Ellen; Römer, Miriam; Fransson, Agneta; Chierici, Melissa

2024

Methane from the Arctic Ocean around Svalbard: synthesis of model and observation data.

Platt, S.M.; Myhre, C.L.; Ferré, B.; Silyakova, A.; Hermansen,O.; Pisso, I.; Schmidbauer, N.; Jansson, P.; Greinert, J.; Stohl, A.; Fjaeraa, A.M.; Vadakkepuliyambatta, S.; Fisher, R.; Nisbet, E.; Lowry, D.; Myhre, G.; Mienert, J.

2015

Methane fluxes in the high northern latitudes for 2005-2013 estimated using a Bayesian atmospheric inversion.

Thompson, R. L.; Sasakawa, M.; Machida, T.; Aalto, T.; Worthy, D.; Lavric, J. V.; Lund Myhre, C.; Stohl, A.

2017

Methane fluxes in the high northern latitudes estimated using a Bayesian atmospheric inversion.

Thompson, R. L.; Stohl, A.; Myhre, C. L.; Sasakawa, M.; Machida, T. Aalto, T.; Dlugokencky, E.; Worthy, D.; Skorokhod, A.

2016

Methane emissions in the Arctic and sub-Arctic. NILU F

Thompson, R.L.; Stohl, A.; Myhre, C.L.; Aalto, T.; Dlugokencky, E.; Worthy, D.

2014

Methane emissions in the Arctic and sub-Arctic from a Bayesian atmospheric inversion.

Thompson, R, Stohl, A.; Myhre, C.L.; Sasakawa, M.; Machida, T.; Aalto, T.; Dlugokencky, E.; Worthy, D.

2015

Methane emissions in East Asia for 2000-2011 estimated using an atmospheric Bayesian inversion.

Thompson, R.L.; Stohl, A.; Zhou, L.X.; Dlugokencky, E.; Fukuyama, Y.; Tohjima, Y.; Kim, S.-Y.; Lee, H.; Nisbet, E.G.; Fisher, R.E.; Lowry, D.; Weiss, R.F.; Prinn, R.G.; O'Doherty, S.; Young, D.; White, J.W.C.

2015

Methane emissions in East Asia estimated using atmospheric Bayesian Inversion. NILU F

Thompson, R.L.; Stohl, A.; Zhou, L.X.; Fukuyama, Y.; Tohjima, Y.; Kim, S.-Y.; Lee, H.; Dlugokencky, E. Nisbet, E.; Fisher, R.; Lowry, D.

2014

Methane emissions from the Nord Stream subsea pipeline leaks

Harris, Stephen; Schwietzke, Stefan; France, James L.; Salinas, Nataly Velandia; Fernandez, Tania Meixus; Randles, Cynthia; Guanter, Luis; Irakulis-Loitxate, Itziar; Calcan, Andreea; Aben, Ilse; Abrahamsson, Katarina; Balcombe, Paul; Berchet, Antoine; Biddle, Louise C.; Bittig, Henry C.; Böttcher, Christian; Bouvard, Timo; Broström, Göran; Bruch, Valentin; Cassiani, Massimo; Chipperfield, Martyn P.; Ciais, Philippe; Damm, Ellen; Dammers, Enrico; van der Gon, Hugo Denier; Dogniaux, Matthieu; O'Dowd, Emily; Dupouy, François; Eckhardt, Sabine; Evangeliou, Nikolaos; Feng, Wuhu; Jia, Mengwei; Jiang, Fei; Kaiser-weiss, Andrea; Kamoun, Ines; Kerridge, Brian J.; Lampert, Astrid; Lana, José; Li, Fei; Maasakkers, Joannes D.; Maclean, Jean-Philippe W.; Mamtimin, Buhalqem; Marshall, Julia; Mauger, Gédéon; Mekkas, Anouar; Mielke, Christian; Mohrmann, Martin; Moore, David P.; Nanni, Ricardo; Pätzold, Falk; Pison, Isabelle; Pisso, Ignacio; Platt, Stephen Matthew; Préa, Raphaël; Queste, Bastien Y.; Ramonet, Michel; Rehder, Gregor; Remedios, John J; Reum, Friedemann; Roiger, Anke; Schmidbauer, Norbert; Siddans, Richard; Sunkisala, Anusha; Thompson, Rona Louise; Varon, Daniel J.; Ventres, Lucy J.; Chris, Wilson; Zhang, Yuzhong

The amount of methane released to the atmosphere from the Nord Stream subsea pipeline leaks remains uncertain, as reflected in a wide range of estimates1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18. A lack of information regarding the temporal variation in atmospheric emissions has made it challenging to reconcile pipeline volumetric (bottom-up) estimates1,2,3,4,5,6,7,8 with measurement-based (top-down) estimates8,9,10,11,12,13,14,15,16,17,18. Here we simulate pipeline rupture emission rates and integrate these with methane dissolution and sea-surface outgassing estimates9,10 to model the evolution of atmospheric emissions from the leaks. We verify our modelled atmospheric emissions by comparing them with top-down point-in-time emission-rate estimates and cumulative emission estimates derived from airborne11, satellite8,12,13,14 and tall tower data. We obtain consistency between our modelled atmospheric emissions and top-down estimates and find that 465 ± 20 thousand metric tons of methane were emitted to the atmosphere. Although, to our knowledge, this represents the largest recorded amount of methane released from a single transient event, it is equivalent to 0.1% of anthropogenic methane emissions for 2022. The impact of the leaks on the global atmospheric methane budget brings into focus the numerous other anthropogenic methane sources that require mitigation globally. Our analysis demonstrates that diverse, complementary measurement approaches are needed to quantify methane emissions in support of the Global Methane Pledge19.

2025

Methane emissions from the Arctic Ocean.

Myhre, C.L.; Mienert, J.; Myhre, G.; Stohl, A.

2015

Methane emissions from the Arctic Ocean to the atmosphere.

Platt, S.; Hermansen, O.; Schmidbauer, N.; Pisso. I.; Silyakova, A.; Ferre, B.; Lowry, D.; Percival, C.; Mienert, J.; Myhre, C.L.

2015

Methane Emissions from the Arctic OCean to the Atmosphere: Present and future climate effects (MOCA). NILU F

Durant, A.J.; Lund-Myhre, C.; Mienert, J.; Myhre, G.; Stohl, A.; Isaksen, I.S.; Pisso, .I, Greinert, J.; Nisbet, E.G.; Paris, J.; Pyle, J.A.; Belan, B.D.; Ruppel, C.D.; Schlager, H.; Spahni, R.

2013

Methane emissions from the Arctic Ocean to the atmosphere (MOCA).

Platt, S.; Myhre, C.L.; Ferre, B.; Silyakova, A.; Hermansen, O.; Allan, G.; Stohl, A.; Pisso. I.; Schmidbauer, N.; Percival, C.; Pyle, J.; Mienert, J.,.

2015

Methane emissions from Australia estimated by inverse analysis using in-situ and Satellite (GOSAT) atmospheric observations

Wang, Fenjuan; Maksyutov, Shamil; Janardanan, Rajesh; Ito, Akihiko; Morino, Isamu; Yoshida, Yukio; Someya, Yu; Tohjima, Yasunori; Kelly, Bryce F. J.; Kaiser, Johannes; Xin, Lan; Mammarella, Ivan; Matsunaga, Tsuneo

Australia has significant sources of atmospheric methane (CH₄), driven by extensive coal and natural gas production, livestock, and large-scale fires. Accurate quantification and characterization of CH₄ emissions are critical for effective climate mitigation strategies in Australia. In this study, we employed an inverse analysis of atmospheric CH₄ observations from the GOSAT satellite and surface measurements from 2016 to 2021 to assess CH₄ emissions in Australia. The inversion process integrates anthropogenic and natural emissions as prior estimates, optimizing them with the NIES-TM-FLEXPART-variational model (NTFVAR) at a resolution of up to 0.1° × 0.1°. We validated the performance of our inverse model using data obtained from the United Nations Environment Program Methane Science (UNEP), Airborne Research Australia 2018 aircraft-based atmospheric CH₄ measurement campaigns. Compared to prior emission estimates, optimized emissions dramatically enhanced the accuracy of modeled concentrations, aligning them much better with observations. Our results indicate that the estimated inland CH4 emissions in Australia amount to 6.84 ± 0.51 Tg CH4 yr−1 and anthropogenic emissions amount to 4.20 ± 0.08 Tg CH4 yr−1, both slightly lower than the values reported in existing inventories. Moreover, our results unveil noteworthy spatiotemporal characteristics, such as upward corrections during the warm season, particularly in Southeastern Australia. During the three most severe months of the 2019–2020 bushfire season, emissions from biomass burning surged by 0.68 Tg, constituting over 71% of the total emission increase. These results highlight the importance of continuous observation and analysis of sectoral emissions, particularly near major sources, to guide targeted emission reduction strategies. The spatiotemporal characteristics identified in this study underscore the need for adaptive and region-specific approaches to CH₄ emission management in Australia.

2025

Methane emission estimates in East Asia from a Bayesian atmospheric inversion. NILU F

Thompson, R.; Stohl, A.; Zhou, L.X.; Dlugokencky, E.J.; Fukuyama, Y.; Tohjima, Y.; Kim, S.; Lee, H.; Weiss, R.F.; Prinn, R.G.; O'Doherty, S.; Fraser, P.J.

2013

Methane emission estimates for Ireland using a Bayesian Atmospheric Inversion

Arnold, Delia; O'Dowd, Colin; Martin, Damien; Thompson, Rona Louise

2018

Methane at Svalbard and over the European Arctic Ocean

Platt, Stephen Matthew; Eckhardt, Sabine; Ferré, Benedicte; Fisher, Rebecca E.; Hermansen, Ove; Jansson, Pär; Lowry, David; Nisbet, Euan G.; Pisso, Ignacio; Schmidbauer, Norbert; Silyakova, Anna; Stohl, Andreas; Svendby, Tove Marit; Vadakkepuliyambatta, Sunil; Mienert, Jurgen; Myhre, Cathrine Lund

2018

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