摘要
本文基于2010年—2020年GOSAT卫星二氧化碳柱总量产品,从全球空间分布、纬向分布、区域分布、年际与季相变化特征等方面,分析了大气CO_(2)的时空变化特征。结果表明,2010年—2020年全球陆地区域大气CO_(2)浓度持续上升,年均值从387.42 ppm上升至410.32 ppm,年均增长率约为2.33 ppm/a,其中2016年全球陆地区域平均大气CO_(2)浓度首次超过400 ppm,年增长量超过3 ppm,为近10年最高。季相变化方面,北半球春季最高、夏末秋初最低,南半球波动相位相反,波动幅度北半球远高于南半球,且纬度越高波动越大。纬向分布特征明显,从南向北总体呈现先升高后降低,受到云及数据质量控制等因素影响,在赤道附近,存在较为明显的下降,峰值出现在0°—10°N和30°N—40°N。区域分布差异较大,多年均值的最大值出现在南美热带,最小值出现在北美北部,差异将近30 ppm;年均增长率方面亚洲温带最高,亚洲北部最低,分别为2.36 ppm/a和2.27 ppm/a。
Based on the total CO_(2) column products of the GOSAT satellite from 2010 to 2020,this paper analyzes the spatio-temporal variation characteristics of atmospheric CO_(2) concentration,including global spatial distribution,latitudinal distribution,regional distribution,interannual and seasonal variation characteristics.The comparison and verification results with TCCON ground-based observation data demonstrate that GOSAT XCO_(2) products have high observation accuracy and can be applied to large-scale analysis.The results show that the CO_(2) concentration in the global land area continued to rise from 2010 to 2020,with an average annual value rising from 387.42 ppm to 410.32 ppm,and the average annual growth rate is about 2.33 ppm/a.Taking 2015 as the boundary,the average annual growth from 2010 to 2015 was 2.12 ppm,while the average annual growth from 2016 to 2020 was 2.46 ppm.In 2016,the average CO_(2) concentration in the global land area exceeded 400 ppm for the first time,with an annual growth of over 3 ppm,the highest in the past decade.In terms of seasonal changes,the northern hemisphere has the highest in spring and the lowest in late summer and early autumn,while the southern hemisphere has opposite wave phases.The wave amplitude in the northern hemisphere is much higher than that in the southern hemisphere,and the higher the latitude,the greater the fluctuation.The latitudinal distribution characteristics are significant,showing an overall increase and then decrease from south to north.Influenced by factors such as cloud and data quality control,there is a significant decrease near the equator,with peaks appearing at 0°—10°N and 30°N—40°N.There are significant differences in regional distribution,with the highest annual mean occurring in the tropical South America and the lowest in the northern North America,with a difference of nearly 30 ppm.In terms of annual growth rate,the temperate zone of Asia has the highest,while the northern region of Asia has the lowest,with 2.36 ppm/a and 2.27 ppm/a respectively.In the past decade,the rise in CO_(2) concentration in global terrestrial regions has been intensifying.At the same time,due to regional development differences,the spatial differences in CO_(2) concentration are also intensifying globally.Based on the above results,we can obtain some insights.The concentration of CO_(2) caused by industrial activities continues to rise,exacerbating global warming.The necessity and pressure for humans to control industrial emissions are increasing to ensure the sustainable development of humanity and the environment“Earth Home”that humans rely on for survival.Under the promotion of international frameworks and organizations such as the United Nations and the IPCC,the direction of human development and energy development has become a crucial theme,and the status and role of clean energy and alternative energy are particularly important.The global CO_(2) monitoring satellite provides an effective and comprehensive monitoring data source for the above work,and there is huge space for the mining and utilization of this data information.The combination of satellite CO_(2) observation and atmospheric transport models,as well as assimilation methods,can provide more effective tools for global monitoring and simulation.
作者
姚依欣
李贵才
唐世浩
江飞
YAO Yixin;LI Guicai;TANG Shihao;JIANG Fei(Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites,National Satellite Meteorological Center(National Center for Space Weather),China Meteorological Administration,Beijing 100081,China;Innovation Center for FengYun Meteorological Satellite(FYSIC),Beijing 100081,China;International Institute for Earth System Science,Nanjing University,Nanjing 210023,China)
出处
《遥感学报》
EI
CSCD
北大核心
2023年第8期1782-1791,共10页
NATIONAL REMOTE SENSING BULLETIN
基金
国家重点研发计划(编号:2022YFC3002801,2016YFA0600204)。
关键词
GOSAT
CO_(2)浓度
全球陆地区域
时空变化特征
大气
长时序
遥感
GOSAT satellite
CO_(2)concentration
global land area
spatio-temporal variation characteristics
atmosphere
long time series
remote sensing