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Verifying Fossil-Fuel Carbon Dioxide Emissions Forecasted by an Artificial Neural Network with the GEOS-Chem Model

WANG Yi-Nan L(U) Da-Ren LI Qian PAN Yu-Bing

大气和海洋科学快报（英文版）2014，Vol.7Issue(5)：377-381,5.

大气和海洋科学快报（英文版）2014，Vol.7Issue(5)：377-381,5.DOI:10.3878/j.issn.1674-2834.14.0017

Verifying Fossil-Fuel Carbon Dioxide Emissions Forecasted by an Artificial Neural Network with the GEOS-Chem Model

WANG Yi-Nan ¹L(U) Da-Ren ²LI Qian ¹PAN Yu-Bing¹

作者信息

1. Laboratory of Middle Atmosphere and Global Environment Observation(LAGEO), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
2. University of Chinese Academy of Sciences, Beijing 100049, China
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摘要

关键词

fossil-fuel emissions/Elman neural network/CO2 concentration/GEOS-Chem

Key words

fossil-fuel emissions/Elman neural network/CO2 concentration/GEOS-Chem

引用本文复制引用

WANG Yi-Nan,L(U) Da-Ren,LI Qian,PAN Yu-Bing..Verifying Fossil-Fuel Carbon Dioxide Emissions Forecasted by an Artificial Neural Network with the GEOS-Chem Model[J].大气和海洋科学快报（英文版）,2014,7(5):377-381,5.

基金项目

This study was supported by the Strategic Priority Research Program—Climate Change:Carbon Budget and Relevant Issues of the Chinese Academy of Sciences (Grant No.XDA05040000) and the National Natural Science Foundation of China (Grant Nos.41005023 and 41275046). （Grant No.XDA05040000）

大气和海洋科学快报（英文版）

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ISSN：1674-2834

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