Satellite remote sensing of greenhouse gases: Progress and trends

被引:0
|
作者
Liu Y. [1 ,2 ,3 ]
Wang J. [1 ,2 ]
Che K. [1 ,2 ]
Cai Z. [1 ]
Yang D. [1 ,3 ]
Wu L. [4 ]
机构
[1] Key Laboratory of mid dle Atmosphere and Global Environment Observation, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing
[2] University of Chinese Academy o f Science, Beijing
[3] Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai
[4] State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Chinese Academy of Sciences, Beijing
关键词
Carbon monitoring satellites; Carbon source and sink; Greenhouse gases; MRV; Satellites virtual constellation;
D O I
10.11834/jrs.20210081
中图分类号
学科分类号
摘要
Reduction of greenhouse gas (GHG) (carbon dioxide (CO2) and methane (CH4)) emissions is a crucial way to mitigate global warming. Traditional estimation of anthropogenic carbon emissions mainly relies on inventory method and lacks independent validation data. The 49th IPCC plenary session (2019) proposed the use of "top-down" inversion with atmospheric observations to support and verify GHG emission inventories. The "top-down" method depends on atmospheric concentration observations, chemical transport models, and data assimilation algorithms. Global covered atmospheric concentration measurement with high accuracy and precision is a key element in better using the "top-down" method in global carbon flux investigation. Measurements from space provide global and regional datasets that improve the spatial coverage of existing in-situ networks. Understanding the development of spaceborned GHG monitoring techniques and "top-down" method has become an important issue in China's response to international climate change affairs. We divided the carbon monitoring remote sensing technology into three phases (1999-2008, 2009-2019, 2019-) based on the development process of satellite remote sensing technology and monitoring requirements. The corresponding satellites in the first two phases were called the first generation, and the corresponding satellites in the third phases were called the second generation. The first generation of GHG satellites was tested in many aspects, such as measurement principle, calibration, and validation. These processes were performed to improve the observation accuracy and the spatial and temporal resolutions of measurements. These efforts made continuous improvement on measurement accuracy and obtained approximately 10 years of scientific data and research results. The first generation of GHG monitoring satellites mainly focused on technical verification and scientific target exploration flying a polar-orbit and onboarded passive remote sensing instrument with narrow swath, mainly aiming to obtain high-precision remote sensing data. The first generation laid the foundation, and the second generation entered the decade of rapid development and application from 2019 to 2028. The second generation of GHG monitoring satellites mainly aimed to improve the spatial and temporal resolutions of observations, such as increasing the swath and observation data in the cross-orbit direction (≥200 km) or using geostationary orbit to increase the observation frequency and data coverage, thereby greatly improving the observation efficiency. Active laser detectors can be used to obtain profile data with high accuracy (0.5 PPM), which are unaffected by sunlight. Optimizing the retrieval algorithm to improve the accuracy and scientifically planning the operational constellations of satellites to improve the monitoring efficiency are necessary. These processes are required to meet the major demand of global and regional monitoring of anthropogenic carbon emissions. Furthermore, the verification of the inventory algorithm is introduced by using the "top-down" data assimilation method with high precision, high spatial and temporal resolution measurements of the satellite constellations. The future development trend of hyperspectral remote sensing and new generation of carbon monitoring satellites and the potential of estimating anthropogenic carbon emissions are provided. © 2021, Science Press. All right reserved.
引用
收藏
页码:53 / 64
页数:11
相关论文
共 50 条
  • [1] Basu S, Guerlet S, Butz A, Houweling S, Hasekamp O, Aben I, Krummel P, Steele P, Langenfelds R, Torn M, Biraud S, Stephens B, Andrews A, Worthy D., Global CO<sub>2</sub> fluxes estimated from GOSAT retrievals of total column CO<sub>2</sub>, Atmospheric Chemistry and Physics, 13, 17, pp. 8695-8717, (2013)
  • [2] Bertaux J L, Hauchecorne A, Lefevre F, Breon F M, Blanot L, Jouglet D, Lafrique P, Akaev P., The use of O<sub>2</sub> 1.27 µm absorption band revisited for GHG monitoring from space and application to MicroCarb, Atmospheric Measurement Techniques Discussion, (2019)
  • [3] Boesch H, Baker D, Connor B, Crisp D, Miller C., Global characterization of CO<sub>2</sub> column retrievals from shortwave-infrared satellite observations of the Orbiting Carbon Observatory-2 mission, Remote Sensing, 3, 2, pp. 270-304, (2011)
  • [4] Buchwitz M, Schneising O, Reuter M, Heymann J, Krautwurst S, Bovensmann H, Burrows J P, Boesch H, Parker R J, Somkuti P, Detmers R G, Hasekamp O P, Aben I, Butz A, Frankenberg C, Turner A J., Satellite-derived methane hotspot emission estimates using a fast data-driven method, Atmospheric Chemistry and Physics, 17, 9, pp. 5751-5774, (2017)
  • [5] Cai B F, Zhu S L, Yu S M, Dong H M, Zhang C Y, Wang C K, Zhu J H, Gao Q X, Fang S X, Pan X B, Zheng X H., The interpretation of 2019 refinement to the 2016 IPCC guidelines for national greenhouse gas inventory, Environmental Engineering, 37, 8, pp. 1-11, (2019)
  • [6] Chen L F, Zhang Y, Zou M M, Xu Q, Li L J, Li X Y, Tao J H., Overview of atmospheric CO<sub>2</sub> remote sensing from space, Journal of Remote Sensing, 19, 1, pp. 1-11, (2015)
  • [7] Chen Y D, Cai W J, Wang C., The characteristics of Intended Nationally Determined Contributions, Climate Change Research, 14, 3, pp. 295-302, (2018)
  • [8] Chevallier F, Ciais P, Conway T J, Aalto T, Anderson B E, Bousquet P, Brunke E G, Ciattaglia L, Esaki Y, Frohlich M, Gomez A, Gomez-Pelaez A J, Haszpra L, Krummel P B, Langenfelds R L, Leuenberger M, Machida T, Maignan F, Matsueda H, Morgui J A, Mukai H, Nakazawa T, Peylin P, Ramonet M, Rivier L, Sawa Y, Schmidt M, Steele L P, Vay S A, Vermeulen A T, Wofsy S, Worthy D., CO<sub>2</sub> surface fluxes at grid point scale estimated from a global 21 year reanalysis of atmospheric measurements, Jour
  • [9] Chevallier F, Palmer P I, Feng L, Boesch H, O'Dell C W, Bousquet P., Toward robust and consistent regional CO2 flux estimates from in situ and spaceborne measurements of atmospheric CO<sub>2</sub>, Geophysical Research Letters, 41, 3, pp. 1065-1070, (2014)
  • [10] Conley S, Franco G, Faloona I, Blake D R, Peischl J, Ryerson T B., Methane emissions from the 2015 Aliso Canyon blowout in Los Angeles, CA, Science, 351, 6279, pp. 1317-1320, (2016)