Conference Agenda

Overview and details of the sessions for this conference. Please select a date and a session for detailed view (with abstracts and downloads if available).

 
 
Session Overview
Session
S.1.3: ATMOSPHERE
Time:
Tuesday, 25/June/2024:
14:00 - 15:30

Session Chair: Dr. Liang Feng
Session Chair: Prof. Dongxu Yang
Room: Auditorium I


59355 - Monitoring GHGs

58873 - GHGs Advanced Techniques


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Presentations
14:00 - 14:45
Oral
ID: 231 / S.1.3: 1
Dragon 5 Oral Presentation
Atmosphere: 59355 - Monitoring Greenhouse Gases From Space

Monitoring Greenhouse Gases from Space (2023)

Yi Liu1, Dongxu Yang1, Jing Wang1, Lu Yao1, Zhaonan Cai1, Hartmut Boesch2, Robert Parker3, Liang Feng4, Palmer Paul4, Johanna Tamminen5, Hannakaisa Lindqvist5, Janne Hakkarainen5

1Institute of Atmospheric Physics, Chinese Academy of Sciences, China, People's Republic of; 2University of Bremen, German; 3University of Leicester, UK; 4School of GeoSciences, University of Edinburgh, Edinburgh, UK; 5Finnish Meteorological Institute, Helsinki and Sodankylä, Finland

Earth’s climate is influenced profoundly by anthropogenic greenhouse gas (GHG) emissions. Satellite measurements would be very helpful for understanding the global CO2 and CH4 flux distribution if CO2 and CH4 column-averaged dry air mole fractions (XCO2 and XCH4) could be measured with a precision of better than 1.5 ppm. To this point, the main objectives of this research project in Dragon 5 is to use a combination of ground-based measurements of CO2 and CH4 and data from current satellite observations (TanSat, GOSAT/-2, OCO-2/-3 and TROPOMI) to validate and evaluate satellite retrievals with retrieval inter-comparisons, to assess them against model calculations and to ingest them into inverse methods to assess surface flux estimates of CO2 and CH4.

In this presentation, we will introduce our newly progress on CO2 and CH4 concentration measurement from in-flight and future satellite, and the CO2 and CH4 flux inversed from satellite and ground base measurement. The next generation of TanSat mission (TanSat-2)kicked-off in 2021, which will provide wilder measurement in the swath to cover the global observation combined with local hot-spot monitoring. The OSSE on global and regional scale has demonstrated the error reduction efficiency of TanSat-2 mission, and we also develop a new method to separate the ecosystem and anthropogenic emission which will be helpful for atmospheric inversion method toward the Global Stocktake. The TanSat mission has been used in city carbon emission signature investigation, which proof the TanSat capability on the anthropogenic emission signal Identify. We also developed UAV and ground-based CO2 measurement network, e.g. CHACOON for the carbon monitoring system build, and validations for satellite.

231-Liu-Yi_Cn_version.pdf


14:45 - 15:30
Oral
ID: 214 / S.1.3: 2
Dragon 5 Oral Presentation
Atmosphere: 58873 - Monitoring of Greenhouse Gases With Advanced Hyper-Spectral and Polarimetric Techniques

First Level 1 Product Results of the Greenhouse Gas Monitoring Instrument on the GaoFen5-02 Satellite

Hailiang Shi1, Hanhan Ye1, Xiong Wei1, Jochen Landgraf2

1Hefei Institutes of Physical Science, Chinese Academy of Sciences, China; 2Netherlands Institute for Space Research,Netherlands

The Greenhouse Gas Monitoring Instrument (GMI) is a short-wavelength infrared (SWIR) hyperspectral-resolution spectrometer onboard the Chinese satellite GaoFen5-02 that uses a spatial heterodyne spectroscopy (SHS) interferometer to acquire interferograms. The GMI was designed to measure and study the source and sink processes of carbon dioxide and methane in the troposphere where the greenhouse effect occurs. In this study, the processing and geometric correction algorithms of the GMI Level 1 product (radiance spectrum) are introduced. The method about the on-board calibration and authenticity verification method are designed and the results are analyzed, and the results illustrate that the specifications meet the mission’s requirements. The on-board calibration results showed that the calibration coefficient range of the O2 channel is 1.05–1.15, the mean value is 1.10 and the standard deviation is 2.72%; the calibration coefficient of the CO2-1 channel is 1.05–1.13, the mean value is 1.09 and the standard deviation is 2.64%; the calibration coefficient of the CH4 channel is 1.08–1.10, the mean value is 1.11 and the standard deviation is 2.73%; the calibration coefficient of the CO2-2 channel is 1.09–1.14, the mean value is 1.12 and the standard deviation is 2.93%. The above results show that the radiation performance of each channel of the GMI shows no significant attenuation during this period, that the site calibration coefficient has no significant fluctuation and that the in-orbit operation state is stable. The authenticity verification results showed that the CO2 column concentration deviation of the satellite ground synchronization inversion was about 1.5 ppm, and the CH4 column concentration deviation was about 11.3 ppb, which verified the on-orbit detection accuracy of the GMI, and laid a foundation for the subsequent satellite inversion algorithm optimization and systematic error correction.

214-Shi-Hailiang_Cn_version.pdf
214-Shi-Hailiang_PDF.pptx