Share Email Print
cover

Proceedings Paper

Spatial and temporal distribution characteristics of near-surface CO2 concentration over China based on GOSAT data
Author(s): Jing Zhao; Weihong Cui; Yunhua Sun
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper 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.

Paper Details

Date Published: 18 November 2014
PDF: 13 pages
Proc. SPIE 9265, Remote Sensing and Modeling of the Atmosphere, Oceans, and Interactions V, 92650N (18 November 2014); doi: 10.1117/12.2074567
Show Author Affiliations
Jing Zhao, Institute of Remote Sensing and Digital Earth (China)
Weihong Cui, Institute of Remote Sensing and Digital Earth (China)
Yunhua Sun, Institute of Remote Sensing and Digital Earth (China)


Published in SPIE Proceedings Vol. 9265:
Remote Sensing and Modeling of the Atmosphere, Oceans, and Interactions V
Tiruvalam N. Krishnamurti; Guosheng Liu, Editor(s)

© SPIE. Terms of Use
Back to Top