Monitoring Greenhouse Gases from Space

Author:

Boesch Hartmut,Liu Yi,Tamminen JohannaORCID,Yang Dongxu,Palmer Paul I.,Lindqvist HannakaisaORCID,Cai Zhaonan,Che Ke,Di Noia Antonio,Feng Liang,Hakkarainen JanneORCID,Ialongo IolandaORCID,Kalaitzi Nikoleta,Karppinen Tomi,Kivi RigelORCID,Kivimäki EllaORCID,Parker Robert J.,Preval Simon,Wang Jing,Webb Alex J.,Yao Lu,Chen Huilin

Abstract

The increase in atmospheric greenhouse gas concentrations of CO2 and CH4, due to human activities, is the main driver of the observed increase in surface temperature by more than 1 °C since the pre-industrial era. At the 2015 United Nations Climate Change Conference held in Paris, most nations agreed to reduce greenhouse gas emissions to limit the increase in global surface temperature to 1.5 °C. Satellite remote sensing of CO2 and CH4 is now well established thanks to missions such as NASA’s OCO-2 and the Japanese GOSAT missions, which have allowed us to build a long-term record of atmospheric GHG concentrations from space. They also give us a first glimpse into CO2 and CH4 enhancements related to anthropogenic emission, which helps to pave the way towards the future missions aimed at a Monitoring & Verification Support (MVS) capacity for the global stock take of the Paris agreement. China plays an important role for the global carbon budget as the largest source of anthropogenic carbon emissions but also as a region of increased carbon sequestration as a result of several reforestation projects. Over the last 10 years, a series of projects on mitigation of carbon emission has been started in China, including the development of the first Chinese greenhouse gas monitoring satellite mission, TanSat, which was successfully launched on 22 December 2016. Here, we summarise the results of a collaborative project between European and Chinese teams under the framework of the Dragon-4 programme of ESA and the Ministry of Science and Technology (MOST) to characterize and evaluate the datasets from the TanSat mission by retrieval intercomparisons and ground-based validation and to apply model comparisons and surface flux inversion methods to TanSat and other CO2 missions, with a focus on China.

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Academy of Finland

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences

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