摘要
为了更充分地了解CO_2地面源和汇的分布特征,利用中国区域地面观测数据和AIRS反演的2003年1月～2012年12月CO_2三级产品分析了中国地区对流层CO_2浓度在不同季节的时空分布及多年变化特征。结果表明：1AIRS反演的CO_2产品与地面观测数据具有较好的一致性,相关系数0.85以上,月平均值偏差在3ppmv以内。CO_2随时间均呈增长趋势,两者呈现一致的季节波动性,卫星反演结果略有滞后。GOSAT反演CO_2比AIRS偏低,两者的相关性较低;2CO_2浓度呈现北高西南低的分布规律,多年月平均增长率为0.177。北方地区的CO_2增长率大于南方,东部的CO_2增长率大于西部;3CO_2浓度整体在春季呈现增长趋势,秋季呈现减小趋势。春季CO_2浓度较高主要出现在东北地区、内蒙古和新疆,多年平均浓度达到389ppmv以上,相应地这些地区在春季和夏季CO_2浓度年增加量达到2ppmv以上。秋季CO_2浓度在内蒙古和西南地区减小趋势明显。
In order to understand the distribution of sources and sinks of CO2, based on ground-based obser- vations and Level 3 monthly gridded CO2 retrieval products by AIRS from January 2003 to December 2012, the spatiotemporal pattern and multi-years variation characteristics of tropospheric CO2 during differ- ent seasons in China was analyzed.The results show that ①AIRS retrieved CO2 products and ground obser- vations showed good consistency, correlation coefficient was above 0.85, monthly average deviation was within 3 ppmv.CO2 showed a growth trend over time,both showed consistent seasonal variation,the satel- lite retrieval products lagged slightly.CO2 retrieved from GOSAT is smaller than AIRS and their correla- tion is relatively low.②CO2 concentration was higher in northern China and lower in southwestern China, the average month growth rate was 0.177;③CO2 concentration showed an increasing trend in spring and decreasing trend in autumn.The higher CO2 concentration appeared in northeast plain,Mongolia and Xin- jiang,annual mean concentration in these corresponding regions reached 389 ppmv,and annual mean in- crease was 2 ppmv.In addition,CO2 concentration in autumn showed a significant decreasing trend in Mon- golia and southwestern China.
出处
《遥感技术与应用》
CSCD
北大核心
2016年第2期203-213,共11页
Remote Sensing Technology and Application
基金
上海市气象局科技开发项目"红外高光谱大气垂直探测数据通道优选方法研究"(099002003)
关键词
遥感
CO2
时空尺度
多年变化
Remote sensing
Carbon dioxide
Spatiotemporal pattern
Multi-years variation characteristic
作者简介
孟倩文（1985-），女，山东聊城人，博士研究生，主要从事卫星遥感信息处理与应用研究。E-mail：mengqianwen@163．com。
通讯作者：尹球（1963-），男，江苏太仓人，研究员，博士生导师，主要从事卫星遥感信息处理与应用研究。E-mail：yinqiu@cma．gov．cn。
