Spatial and temporal distribution characteristics of near-surface CO2 concentration over China based on GOSAT data

Jing Zhao; Weihong Cui; Yunhua Sun

doi:10.1117/12.2074567

18 November 2014 Spatial and temporal distribution characteristics of near-surface CO₂ concentration over China based on GOSAT data

Jing Zhao, Weihong Cui, Yunhua Sun

Author Affiliations +

Proceedings Volume 9265, Remote Sensing and Modeling of the Atmosphere, Oceans, and Interactions V; 92650N (2014) https://doi.org/10.1117/12.2074567
Event: SPIE Asia-Pacific Remote Sensing, 2014, Beijing, China

Abstract

To study the spatial and temporal distribution characteristics of near-surface CO₂ concentration over China, the data of GOSAT L4B and auxiliary data of Mt Waliguan background observations, population density, total energy consumption (coal) and GDP in 2009 were applied to this study. The ArcGIS Geostatistical Analytical Method was used. The ground-based validation was processed by comparing GOSAT data with Mt Waliguan background observations. The variation characteristics of the near-surface CO₂ concentration over China was analysed spatially and temporally. The results show that: GOSAT retrieved near-surface products are consistent with Mt Waliguan ground-based measurement; Near-surface CO₂ concentration over China is relatively concentrated, and has significant differences between the East and the West, with a overall characteristic that CO₂ concentration in the east of China is high and in the west is low; Near-surface CO₂ concentration over China has a significant seasonal variation characteristic, and the monthly average concentration rise to the highest value of 396.512 ppmv in April (spring), which is significantly higher than other seasons, decline to the lowest value of 382.781 ppmv in July (summer); All relationships illustrate a big uncertainty, resulting a conclusion that the reasons causing the spatial distribution of near-surface CO₂ concentration may be varied, could not be easily determined as anthropogenic or natural ressons, which need further study.

Citation Download Citation

Jing Zhao, Weihong Cui, and Yunhua Sun "Spatial and temporal distribution characteristics of near-surface CO₂ concentration over China based on GOSAT data", Proc. SPIE 9265, Remote Sensing and Modeling of the Atmosphere, Oceans, and Interactions V, 92650N (18 November 2014); https://doi.org/10.1117/12.2074567

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available