Towards the Optimization of TanSat-2: Assessment of a Large-Swath Methane Measurement
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| Udgivet i: | Remote Sensing vol. 17, no. 3 (2025), p. 543 |
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| 022 | |a 2072-4292 | ||
| 024 | 7 | |a 10.3390/rs17030543 |2 doi | |
| 035 | |a 3165892092 | ||
| 045 | 2 | |b d20250101 |b d20251231 | |
| 084 | |a 231556 |2 nlm | ||
| 100 | 1 | |a Zhu, Sihong |u Carbon Neutrality Research Center, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China; <email>zhusihong@mail.iap.ac.cn</email> (S.Z.); <email>liuyi@mail.iap.ac.cn</email> (Y.L.); <email>kwu@mail.iap.ac.cn</email> (K.W.); <email>caizhaonan@mail.iap.ac.cn</email> (Z.C.) | |
| 245 | 1 | |a Towards the Optimization of TanSat-2: Assessment of a Large-Swath Methane Measurement | |
| 260 | |b MDPI AG |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a To evaluate the potential of an upcoming large-swath satellite for estimating surface methane (CH₄) fluxes at a weekly scale, we report the results from a series of observing system simulation experiments (OSSEs) that use an established modeling framework that includes the GEOS-Chem 3D atmospheric transport model and an ensemble Kalman filter. These experiments focus on the sensitivity of CH₄ flux estimates to systematic errors (<inline-formula>μ</inline-formula>) and random errors (<inline-formula>σ</inline-formula>) in the column average methane (XCH4) measurements. Our control test (INV_CTL) demonstrates that with median errors (<inline-formula>μ</inline-formula> = 1.0 ± 0.9 ppb and <inline-formula>σ</inline-formula> = 6.9 ± 1.6 ppb) in XCH₄ measurements over a 1000 km swath, global CH4 fluxes can be estimated with an accuracy of 5.1 ± 1.7%, with regional accuracies ranging from 3.8% to 21.6% across TransCom sub-continental regions. The northern hemisphere mid-latitudes show greater reliability and consistency across varying <inline-formula>μ</inline-formula> and <inline-formula>σ</inline-formula> levels, while tropical and boreal regions exhibit higher sensitivity due to limited high-quality observations. In <inline-formula>σ</inline-formula>-sensitive regions, such as the North American boreal zone, expanding the swath width from 1000 km to 3000 km significantly reduces discrepancies, while such adjustments provide limited improvements for <inline-formula>μ</inline-formula>-sensitive regions like North Africa. For TanSat-2 mission, with its elliptical medium Earth orbit and 1500 km swath width, the global total estimates achieved an accuracy of 3.1 ± 2.2%. Enhancing the swath width or implementing a dual-satellite configuration is proposed to further improve TanSat-2 inversion performance. | |
| 653 | |a Cytotoxicity | ||
| 653 | |a Swath width | ||
| 653 | |a Accuracy | ||
| 653 | |a Configuration management | ||
| 653 | |a Lymphocytes T | ||
| 653 | |a Orbits | ||
| 653 | |a Methane | ||
| 653 | |a Northern Hemisphere | ||
| 653 | |a Aerosols | ||
| 653 | |a Transport processes | ||
| 653 | |a Earth orbits | ||
| 653 | |a Performance evaluation | ||
| 653 | |a Kalman filters | ||
| 653 | |a Bias | ||
| 653 | |a Systematic errors | ||
| 653 | |a Random errors | ||
| 653 | |a Greenhouse gases | ||
| 653 | |a Satellite configurations | ||
| 653 | |a Regions | ||
| 653 | |a Estimates | ||
| 653 | |a Elliptical orbits | ||
| 653 | |a Satellite observation | ||
| 653 | |a Fluxes | ||
| 653 | |a Satellites | ||
| 700 | 1 | |a Yang, Dongxu |u Carbon Neutrality Research Center, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China; <email>zhusihong@mail.iap.ac.cn</email> (S.Z.); <email>liuyi@mail.iap.ac.cn</email> (Y.L.); <email>kwu@mail.iap.ac.cn</email> (K.W.); <email>caizhaonan@mail.iap.ac.cn</email> (Z.C.); University of Chinese Academy of Sciences, Beijing 100049, China; <email>jjcao@mail.iap.ac.cn</email> | |
| 700 | 1 | |a Liang, Feng |u School of GeoSciences, University of Edinburgh, Edinburgh EH9 3FF, UK; <email>liang.feng@ed.ac.uk</email> (L.F.); <email>pip@ed.ac.uk</email> (P.I.P.); National Centre for Earth Observation, University of Edinburgh, Edinburgh EH9 3FF, UK | |
| 700 | 1 | |a Tian, Longfei |u Innovation Academy for Microsatellites, Chinese Academy of Sciences, Shanghai 201306, China; <email>tianlf@microsate.com</email> | |
| 700 | 1 | |a Liu, Yi |u Carbon Neutrality Research Center, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China; <email>zhusihong@mail.iap.ac.cn</email> (S.Z.); <email>liuyi@mail.iap.ac.cn</email> (Y.L.); <email>kwu@mail.iap.ac.cn</email> (K.W.); <email>caizhaonan@mail.iap.ac.cn</email> (Z.C.); University of Chinese Academy of Sciences, Beijing 100049, China; <email>jjcao@mail.iap.ac.cn</email>; Key Laboratory of Atmospheric Environment and Extreme Meteorology, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China | |
| 700 | 1 | |a Cao, Junji |u University of Chinese Academy of Sciences, Beijing 100049, China; <email>jjcao@mail.iap.ac.cn</email>; Key Laboratory of Atmospheric Environment and Extreme Meteorology, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China | |
| 700 | 1 | |a Wu, Kai |u Carbon Neutrality Research Center, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China; <email>zhusihong@mail.iap.ac.cn</email> (S.Z.); <email>liuyi@mail.iap.ac.cn</email> (Y.L.); <email>kwu@mail.iap.ac.cn</email> (K.W.); <email>caizhaonan@mail.iap.ac.cn</email> (Z.C.); Key Laboratory of Atmospheric Environment and Extreme Meteorology, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China | |
| 700 | 1 | |a Cai, Zhaonan |u Carbon Neutrality Research Center, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China; <email>zhusihong@mail.iap.ac.cn</email> (S.Z.); <email>liuyi@mail.iap.ac.cn</email> (Y.L.); <email>kwu@mail.iap.ac.cn</email> (K.W.); <email>caizhaonan@mail.iap.ac.cn</email> (Z.C.); University of Chinese Academy of Sciences, Beijing 100049, China; <email>jjcao@mail.iap.ac.cn</email>; Key Laboratory of Atmospheric Environment and Extreme Meteorology, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China | |
| 700 | 1 | |a Palmer, Paul I |u School of GeoSciences, University of Edinburgh, Edinburgh EH9 3FF, UK; <email>liang.feng@ed.ac.uk</email> (L.F.); <email>pip@ed.ac.uk</email> (P.I.P.); National Centre for Earth Observation, University of Edinburgh, Edinburgh EH9 3FF, UK | |
| 773 | 0 | |t Remote Sensing |g vol. 17, no. 3 (2025), p. 543 | |
| 786 | 0 | |d ProQuest |t Advanced Technologies & Aerospace Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3165892092/abstract/embedded/H09TXR3UUZB2ISDL?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text + Graphics |u https://www.proquest.com/docview/3165892092/fulltextwithgraphics/embedded/H09TXR3UUZB2ISDL?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3165892092/fulltextPDF/embedded/H09TXR3UUZB2ISDL?source=fedsrch |