Inverse modelling of CH&lt;sub&gt;4&lt;/sub&gt; emissions for 2010–2011 using different satellite retrieval products from GOSAT and SCIAMACHY

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Mihai Alexe¹, P. Bergamaschi¹, Arjo Segers², R. G. Detmers³, A. Butz⁴, Otto Hasekamp³, Sandrine Guerlet³, Robert J. Parker⁵, Hartmut Boesch⁵, Christian Frankenberg⁶, R. A. Scheepmaker³, E. J. Dlugokencky⁷, Colm Sweeney^8,7, Steven C. Wofsy⁹, E. A. Kort¹⁰

¹European Commission, Joint Research Centre, Institute for Environment and Sustainability, Air and Climate Unit, Ispra, Italy

²Netherlands Organisation for Applied Scientific Research (TNO),#N#Utrecht, the Netherlands

³Netherlands Institute for Space Research (SRON), Utrecht, The Netherlands

⁴Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany

⁵Earth Observation Science Group, Space Research Centre, University of Leicester, Leicester, UK

⁶Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California USA

⁷Global Monitoring Division, NOAA Earth System Research Laboratory, Boulder, Colorado, USA

⁸CIRES, University of Colorado, Boulder, Colorado, USA

⁹School of Engineering and Applied Science and Department of Earth and Planetary Sciences, Harvard University, Cambridge, Massachusetts, USA

¹⁰Department of Atmospheric, Oceanic and Space Sciences, University of Michigan, Michigan, USA

Tóm tắt

Abstract. At the beginning of 2009 new space-borne observations of dry-air column-averaged mole fractions of atmospheric methane (XCH4) became available from the Thermal And Near infrared Sensor for carbon Observations–Fourier Transform Spectrometer (TANSO-FTS) instrument on board the Greenhouse Gases Observing SATellite (GOSAT). Until April 2012 concurrent {methane (CH4) retrievals} were provided by the SCanning Imaging Absorption spectroMeter for Atmospheric CartograpHY (SCIAMACHY) instrument on board the ENVironmental SATellite (ENVISAT). The GOSAT and SCIAMACHY XCH4 retrievals can be compared during the period of overlap. We estimate monthly average CH4 emissions between January 2010 and December 2011, using the TM5-4DVAR inverse modelling system. In addition to satellite data, high-accuracy measurements from the Cooperative Air Sampling Network of the National Oceanic and Atmospheric Administration Earth System Research Laboratory (NOAA ESRL) are used, providing strong constraints on the remote surface atmosphere. We discuss five inversion scenarios that make use of different GOSAT and SCIAMACHY XCH4 retrieval products, including two sets of GOSAT proxy retrievals processed independently by the Netherlands Institute for Space Research (SRON)/Karlsruhe Institute of Technology (KIT), and the University of Leicester (UL), and the RemoTeC "Full-Physics" (FP) XCH4 retrievals available from SRON/KIT. The GOSAT-based inversions show significant reductions in the root mean square (rms) difference between retrieved and modelled XCH4, and require much smaller bias corrections compared to the inversion using SCIAMACHY retrievals, reflecting the higher precision and relative accuracy of the GOSAT XCH4. Despite the large differences between the GOSAT and SCIAMACHY retrievals, 2-year average emission maps show overall good agreement among all satellite-based inversions, with consistent flux adjustment patterns, particularly across equatorial Africa and North America. Over North America, the satellite inversions result in a significant redistribution of CH4 emissions from North-East to South-Central United States. This result is consistent with recent independent studies suggesting a systematic underestimation of CH4 emissions from North American fossil fuel sources in bottom-up inventories, likely related to natural gas production facilities. Furthermore, all four satellite inversions yield lower CH4 fluxes across the Congo basin compared to the NOAA-only scenario, but higher emissions across tropical East Africa. The GOSAT and SCIAMACHY inversions show similar performance when validated against independent shipboard and aircraft observations, and XCH4 retrievals available from the Total Carbon Column Observing Network (TCCON).

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Scholar Hub - Công cụ hỗ trợ trích dẫn và phân tích khoa học Việt Nam

Về chúng tôi

Scholar Hub là công cụ hỗ trợ trích dẫn và phân tích các bài báo, công bố khoa học Việt Nam. Công cụ trợ giúp người nghiên cứu, tạp chí, đơn vị nghiên cứu tra cứu, phân tích và thống kê dữ liệu nghiên cứu khoa học tại Việt Nam và quốc tế.