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Detection of Anthropogenic CO_(2) Emission Signatures with TanSat CO_(2) and with Copernicus Sentinel-5 Precursor(S5P)NO_(2) Measurements:First Results 被引量:8
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作者 Dongxu YANG janne hakkarainen +3 位作者 Yi LIU Iolanda IALONGO Zhaonan CAI Johanna TAMMINEN 《Advances in Atmospheric Sciences》 SCIE CAS CSCD 2023年第1期1-5,共5页
China’s first carbon dioxide(CO_(2))measurement satellite mission,TanSat,was launched in December 2016.This paper introduces the first attempt to detect anthropogenic CO_(2) emission signatures using CO_(2) observati... China’s first carbon dioxide(CO_(2))measurement satellite mission,TanSat,was launched in December 2016.This paper introduces the first attempt to detect anthropogenic CO_(2) emission signatures using CO_(2) observations from TanSat and NO_(2) measurements from the TROPOspheric Monitoring Instrument(TROPOMI)onboard the Copernicus Sentinel-5 Precursor(S5P)satellite.We focus our analysis on two selected cases in Tangshan,China and Tokyo,Japan.We found that the TanSat XCO_(2) measurements have the capability to capture the anthropogenic variations in the plume and have spatial patterns similar to that of the TROPOMI NO_(2) observations.The linear fit between TanSat XCO_(2) and TROPOMI NO_(2) indicates the CO_(2)-to-NO_(2) ratio of 0.8×10^(-16) ppm(molec cm^(-2))^(-1) in Tangshan and 2.3×10^(-16) ppm(molec cm^(-2))^(-1) in Tokyo.Our results align with the CO_(2)-to-NOx emission ratios obtained from the EDGAR v6 emission inventory. 展开更多
关键词 TanSat CO_(2) Remote sensing city carbon EMISSION climate change
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Monitoring Greenhouses Gases over China Using Space-Based Observations Monitoring Greenhouses Gases over China Using Space-Based Observations 被引量:3
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作者 Hartmut BOESCH Yi LIU +18 位作者 Paul I PALMER Johanna TAMMINEN Jasdeep S ANAND Zhaonan CAI Ke CHE Huilin CHEN Xi CHEN Liang FENG janne hakkarainen Pauli HEIKKINEN Nikoleta KALAITZI Rigel KIVI Robert PARKER Peter SOMKUTI Jing WANG Alex WEBB Dongxu YANG Lu YAO You YI 《Journal of Geodesy and Geoinformation Science》 2020年第4期14-24,共11页
The atmospheric carbon dioxide(CO 2)concentration has increased to more than 405 parts per million(ppm.1 ppm=10-6 m/s 2)in 2017 due to human activities such as deforestation,land-use change and burning of fossil fuels... The atmospheric carbon dioxide(CO 2)concentration has increased to more than 405 parts per million(ppm.1 ppm=10-6 m/s 2)in 2017 due to human activities such as deforestation,land-use change and burning of fossil fuels.Although there is broad scientific consensus on the damaging consequences of the change in climate associated with increasing concentrations of greenhouse gases,fossil CO 2 emissions have continued to increase in recent years mainly from rapidly developing economies and China is now the largest emitter of CO 2 generating about 30%of all emissions globally.To allow more reliable forecast of the future state of the carbon cycle and to support the efforts for mitigation greenhouse gas emissions,a better understanding of the global and regional carbon budget is needed.Space-based measurements of CO 2 can provide the necessary observations with dense coverage and sampling to provide improved constrains on of carbon fluxes and emissions.The Chinese Global Carbon Dioxide Monitoring Scientific Experimental Satellite(TanSat)was established by the National High Technology Research and Development Program of China with the main objective of monitoring atmospheric CO 2 and CO 2 fluxes at the regional and global scale.TanSat has been successfully launched in December 2016 and as part of the Dragon programme of ESA and the Ministry of Science and Technology(MOST),a team of researchers from Europe(UK and Finland)and China has evaluated early TanSat data and contrast it against data from the GOSAT mission and models.In this manuscript,we report on retrieval intercomparisons of TanSat data using two different retrieval algorithms,on validation efforts for the Eastern Asia region using GOSAT CO 2 data and first assessments of TanSat and GOSAT CO 2 data against model calculations using the GEOS-Chem model. 展开更多
关键词 carbon cycle SPECTROSCOPY satellite remote sensing
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