Space- and ground-based CO2 measurements: A review
文献类型：SCI/SSCI论文
| 作者 | Yue T. X.; Zhang, L. L.; Zhao, M. W.; Wang, Y. F.; Wilson, J. |
| 发表日期 | 2016 |
| 关键词 | Accuracy Carbon satellites Retrieval algorithms Space- and ground based measurements HASM column observing network atmospheric co2 carbon-dioxide retrieval algorithm part 1 chlorophyll fluorescence differential absorption reflected sunlight climate-change tall towers |
| 英文摘要 | The climate warming is mainly due to the increase in concentrations of anthropogenic greenhouse gases, of which CO2 is the most important one responsible for radiative forcing of the climate. In order to reduce the great estimation uncertainty of atmospheric CO2 concentrations, several CO2-related satellites have been successfully launched and many future greenhouse gas monitoring missions are planned. In this paper, we review the development of CO2 retrieval algorithms, spatial interpolation methods and ground observations. The main findings include: 1) current CO2 retrieval algorithms only partially account for atmospheric scattering effects; 2) the accurate estimation of the vertical profile of greenhouse gas concentrations is a long-term challenge for remote sensing techniques; 3) ground-based observations are too sparse to accurately infer CO2 concentrations on regional scales; and 4) accuracy is the primary challenge of satellite estimation of CO2 concentrations. These findings, taken as a whole, point to the need to develop a high accuracy method for simulation of carbon sources and sinks on the basis of the fundamental theorem of Earth's surface modelling, which is able to efficiently fuse space- and ground-based measurements on the one hand and work with atmospheric transport models on the other hand. |
| 出处 | Science China-Earth Sciences |
| 卷 | 59 |
| 期 | 11 |
| 页 | 2089-2097 |
| 收录类别 | SCI |
| 语种 | 英语 |
| ISSN号 | 1674-7313 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/43894]  |
| 专题 | 生态系统网络观测与模拟院重点实验室_生态网络实验室 |
| 推荐引用方式 GB/T 7714 | Yue T. X.,Zhang, L. L.,Zhao, M. W.,et al. Space- and ground-based CO2 measurements: A review. 2016. |
入库方式： OAI收割
来源：地理科学与资源研究所
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