摘要
用10 a(2003~2012年)的MACC(monitoring atmospheric composition and climate)再分析臭氧资料与同期中国大陆6个地面观测站的臭氧数据,以及AIRS(atmospheric infrared sounder)卫星资料反演的大气臭氧数据进行对比分析.结果表明,MACC臭氧柱浓度与所有地面站臭氧柱浓度相对偏差基本控制在17%之内,相关系数在0. 79~0. 97之间,MACC臭氧柱浓度与地面站臭氧柱浓度具有很好的一致性.对于多年平均臭氧柱浓度空间分布,MACC再分析与AIRS卫星反演臭氧柱浓度的相对偏差在-3%~5%之间,MACC臭氧柱浓度相比AIRS柱浓度在青藏高原、南部沿海地区偏高,在东北地区偏低.各季节空间变化,MACC臭氧柱浓度与AIRS基本一致.在瓦里关站,MACC近地面臭氧与地面观测臭氧浓度月平均变化趋势存在一致性. MACC再分析近地面臭氧数据可以反映春季、夏季和秋季地面臭氧浓度的变化趋势,但冬季MACC近地层臭氧资料出现了较大的偏差.
A comparative analysis was conducted using total ozone products derived from monitoring atmospheric composition and climate(MACC)reanalysis data validated with ozone data from the atmospheric infrared sounder(AIRS)satellite and ground-based ozone measurements.The results indicate that the relative deviation of total ozone from the MACC reanalysis data and the ground-based ozone total data is controlled within 17%,and all of the correlation coefficients were between 0.79 and 0.97.The total ozone values from the MACC reanalysis data showed good consistency with the ground-based ozone measurements.With respect to the spatial distribution of multi-year averages,the relative deviation of total ozone values in the MACC reanalysis data and the AIRS satellite data was between-3%and 5%.The total ozone values in the MACC reanalysis data were higher than those from AIRS measurements for the Qinghai-Tibet Plateau and the coastal areas of South China,and were lower for northeast China.Furthermore,the seasonal variations in total ozone values in the MACC reanalysis data were consistent with AIRS data.At Mt.Waliguan station,the monthly averaged trends for near-surface ozone in the MACC reanalysis data were also consistent with surface ozone concentrations;the MACC reanalysis data reflect the observed trends for surface-based ozone measurements in spring,summer,and autumn,but show a large deviation in winter.
作者
王闰芳
马晓丹
赵天良
王红磊
丁涵
郑小波
WANG Run-fang;MA Xiao-dan;ZHAO Tian-liang;WANG Hong-lei;DING Han;ZHENG Xiao-bo(Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration,Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters,Nanjing University of Information Science and Technology,Nanjing 210044,China;Guizhou Institute of Mountainous Environment and Climate,Guiyang 550000,China)
出处
《环境科学》
EI
CAS
CSCD
北大核心
2019年第10期4412-4422,共11页
Environmental Science
基金
国家重点研发计划项目(2016YFC0203304)
国家自然科学基金项目(41830965,91744209)
江苏省研究生科研与实践创新计划项目(KYCX18_1027)