首页|基于Carbon Tracker模型的大气CO2浓度时空分布随海拔高度变化特征

基于Carbon Tracker模型的大气CO2浓度时空分布随海拔高度变化特征

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大气中温室气体浓度的增加所引起的全球气候变暖已成为21世纪所面临的最为紧迫、影响最为深远的全球环境问题之一.准确且全面地获取大气CO2浓度信息对于研究全球碳循环,评价CO2减排成效以及制定减排政策具有重要意义.基于Carbon Tracker CO2产品数据、GOSAT近地面CO2浓度数据、TCCON数据,采用线性趋势分析法、经验正交函数分析法、相关性分析法、平均核函数及先验廓线法等对全球的大气CO2浓度的时空分布开展了研究,结果表明:①大气CO2浓度的空间异质性随着海拔高度的升高而逐渐减弱,而空间分布特征随海拔高度的升高而变化显著;②北半球大气CO2年均浓度、增长率以及中亚地区增长率均随海拔高度的增加而持续减小,而其他区域大气CO2年平均浓度、增长率则随着海拔高度的增加则具有先减小,后增加,再减小的变化特征;③6个区域(全球、北半球、南半球、陆地、海洋、中亚)所有海拔高度上的大气CO2浓度的年际变化均呈现出持续增长及季节循环特征,但季节循环特征会随着海拔高度增加而变得不明显;④海洋上空大气CO2浓度无明显日变化特征,其他5个地区仅在地面附近才能观测到日变化特征.
Characterization of the Spatial and Temporal Distribution of Atmospheric CO2 Concentration With Altitude Based on the Carbon Tracker Model
Global warming caused by the increase of greenhouse gas(GHG)concentration in the atmosphere has become one of the most urgent and far-reaching global environmental problems in the 21st century.Accurate and comprehensive information on atmospheric CO2 concentration is important for studying the global carbon cycle,evaluating the effectiveness of CO2 emission reduction,and formulating emission reduction policies.In this study,the spatial and temporal distribution of atmospheric CO2 concentration with altitude based on Carbon Tracker CO2 product data,GOSAT near-surface CO2 concentration data,and TCCON data are analyzed by using linear trend a-nalysis,correlation analysis,etc.The results show that:①the spatial heterogeneity of atmospheric CO2 concentra-tion decreases with increasing altitude,and the characteristics of spatial distribution change with increasing alti-tude;②the average annual concentration and growth rate of atmospheric CO2 in the Northern Hemisphere and Central Asia decrease with increasing altitude,while the average annual concentration and growth rate of atmos-pheric CO2 in the other regions have the characteristics of decreasing,then increasing,and then decreasing with increasing altitude;③the interannual variations of atmospheric CO2 concentrations at all altitudes in the six re-gions are characterized by continuous growth and seasonal cycles,but the seasonal cycles become less pronounced with increasing altitude;④the atmospheric CO2 concentration over the ocean shows no significant daily variation,and the other five regions can only observe the daily variation near the ground.

Carbon Tracker modelcarbon dioxideglobal areaspatial and temporal variation

张智、魏丹丹、刘舟雯、刘媛、杨梅花、刘子强、萧远翔、曹良中

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豫章师范学院生态与环境学院,江西南昌 330103

豫章师范学院 南昌市绿色新型材料与工业废水处理重点实验室,江西 南昌 330103

九江学院 旅游与地理学院,江西 九江 332005

Carbon Tracker模型 二氧化碳 全球地区 时空分异

2024

绿色科技
花木盆景杂志社

绿色科技

影响因子:0.365
ISSN:1674-9944
年,卷(期):2024.26(22)