Monitoring Greenhouses Gases over China Using Space-Based Observations

• 作者: Alex WEBB Dongxu YANG Hartmut BOESCH Huilin CHEN Janne HAKKARAINEN Jasdeep S ANAND Jing WANG Johanna TAMMINEN Ke CHE Liang FENG Lu YAO Nikoleta KALAITZI Paul I PALMER Pauli HEIKKINEN Peter SOMKUTI Rigel KIVI Robert PARKER Xi CHEN Yi LIU You YI Zhaonan CAI
• 来源期刊: 测绘学报（英文版）
• 年，卷（期）: 2020,（4）
• 页码范围: 14-24
• 页数: 11页
• 语种: 英文

摘要

The atmospheric carbon dioxide ( CO2 ) concentration has increased to more than 405 parts per million ( ppm. 1 ppm=10-6 m/s2 ) 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 CO2 emissions have continued to increase in recent years mainly from rapidly developing economies and China is now the largest emitter of CO2 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 CO2 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 CO2 and CO2 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 CO2 data and first assessments of TanSat and GOSAT CO2 data against model calculations using the GEOS-Chem model.