Satellite chartography of atmospheric methane from SCIAMACHY on board ENVISAT: 2. Evaluation based on inverse model simulations

By P. Bergamaschi, Christian Frankenberg, J. F. Meirink, M. Krol, F. Dentener, T. Wagner, Ulrich Platt, Jed O. Kaplan, S. Körner, Martin Heimann and 2 more. 2007

327 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/f3a4e4e72c865c56f3f02003645fd7293f47fe9b

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Citations in the corpus

Atmospheric CH4 in the first decade of the 21st century: Inverse modeling analysis using SCIAMACHY satellite retrievals and NOAA surface measurements (2013, methodology): “…the impact of using the (interannually varying) Lund-Potsdam-Jena dynamic global vegetation model with Wetland Hydrology and Methane (LPJ WHyMe) inventory [Spahni et al., 2011], instead of the climatological inventory of J. O. Kaplan [Bergamaschi et al., 2007], as a priori for wetland emissions.”
Methane retrievals from Greenhouse Gases Observing Satellite (GOSAT) shortwave infrared measurements: Performance comparison of proxy and physics retrieval algorithms (2012, methodology): “This method has been extensively used for methane retrievals from SCIAMACHY [ Frankenberg et al. , 2005, 2008; Bergamaschi et al. , 2007; Schneising et al. , 2009] and more recently it has been applied to methane retrievals from GOSAT [ Parker et al. , 2011].”
Inverse Modeling of Global and Regional CH4 Emissions Using SCIAMACHY Satellite Retrievals (2009, background): “Such regional top-down estimates are also very important in the context of verification of international agreements on emission reductions, such as the United Nations Framework Convention on Climate Change (UNFCCC) and the Kyoto protocol [Bergamaschi, 2007; IPCC, 2000].”
Tundra shrubification and tree-line advance amplify arctic climate warming: results from an individual-based dynamic vegetation model (2013, methodology): “Relevant model variables (e.g. biomass, carbon pool etc) were aggregated area-weighted by using a prescribed wetland fraction, taken from Kaplan 2007 wetland mapping product (Bergamaschi et al 2007) (supplementary figure S1 available at stacks.iop.org/ERL/8/034023/mmedia).”
Non-CO2 greenhouse gases and climate change (2011, background): “), or nearly two-thirds of present total emissions, assuming a constant lifetim”
Creating Wetlands: Primary Succession, Water Quality Changes and Self-Design over 15 Years (2012, unknown): “Yet wetlands are now described as among the largest natural sources of the greenhouse gases methane (CH4) and nitrous oxide (N2O) (Whalen 2005, Bergamaschi et al. 2007, Bloom et al. 2010) in climate change discussions. Created and restored wetlands need to be evaluated in terms of their balance betw”