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Volume 41 Issue 10
Oct.  2023
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Article Contents
XIONG Wei. A HIGH ORBIT HIGH SPATIOTEMPORAL RESOLUTION ATMOSPHERIC CARBON DIOXIDE MONITOR[J]. ENVIRONMENTAL ENGINEERING , 2023, 41(10): 1-8,123. doi: 10.13205/j.hjgc.202310001
Citation: XIONG Wei. A HIGH ORBIT HIGH SPATIOTEMPORAL RESOLUTION ATMOSPHERIC CARBON DIOXIDE MONITOR[J]. ENVIRONMENTAL ENGINEERING , 2023, 41(10): 1-8,123. doi: 10.13205/j.hjgc.202310001

A HIGH ORBIT HIGH SPATIOTEMPORAL RESOLUTION ATMOSPHERIC CARBON DIOXIDE MONITOR

doi: 10.13205/j.hjgc.202310001
  • Received Date: 2023-07-25
    Available Online: 2023-12-26
  • The increase in carbon emissions accompanying the rapid growth of the world economy has led to global warming, which has aroused a high degree of concern in the international community and a soaring call for emissions reduction. Satellite remote sensing, with its macro, rapid, quantitative and accurate characteristics, is one of the most feasible and effective technical support for carbon monitoring. In order to solve the problem of low temporal resolution in the existing low-orbit atmospheric CO2 remote sensing detection, a Spatio-Temporal combined modulation spatial heterodyne Interferometric Imaging Spectroscopy technique (STIIS) for atmospheric CO2 column concentration detection in geostationary orbit is proposed. Based on STIIS, a high-orbit, high temporal and spatial resolution atmospheric CO2 monitor prototype has been developed, with O2-A 0.76 μm, CO2 weak absorption 1.57 μm and CO2 strong absorption 2.05 μm detection channels, and a spatial resolution of better than 3 km@36,000 km. The principle prototype can achieve CO2 detection accuracy better than 2×10-6 and time resolution better than 3.5 h covering China. Based on the principle prototype, the field test and flight test have been carried out, effectively inverting the CO2 concentration information of different target areas, verifying the technical feasibility of the high orbit high spatiotemporal resolution atmospheric carbon dioxide monitor, and providing a technical basis for the development and data application of the next-generation carbon monitoring payload.
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