doi:  10.3878/j.issn.1006-9585.2018.18006
基于AERONETOMI数据分析中国北方典型地区气溶胶单次散射反照率的变化趋势

Analysis of the Change Trend of Aerosol Single-Scattering Albedo in the Areas of Northern China Based on AERONET and OMI Data
摘要点击 111  全文点击 106  投稿时间:2018-01-08  
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基金:  国家自然科学基金项目41471306、41775162、41505133
中文关键词:  AERONET卫星数据  OMI卫星数据  气溶胶单次散射反照率(SSA)  变化趋势
英文关键词:  AERONET data  OMI data  Aerosol single-scattering albedo (SSA)  Trend analysis
                       
作者中文名作者英文名单位
康颖KANG Ying甘肃农业大学林学院,兰州 730070;中国科学院大气物理研究所大气边界层物理与大气化学国家重点实验室,北京 100029
王莉莉WANG Lili中国科学院大气物理研究所大气边界层物理与大气化学国家重点实验室,北京 100029
辛金元XIN Jinyuan中国科学院大气物理研究所大气边界层物理与大气化学国家重点实验室,北京 100029
陶明辉TAO Minghui中国科学院遥感与数字地球研究所遥感科学国家重点实验室,北京100101
宋涛SONG Tao中国科学院大气物理研究所大气边界层物理与大气化学国家重点实验室,北京 100029
巩崇水GONG Chongshui中国科学院大气物理研究所大气边界层物理与大气化学国家重点实验室,北京 100029
王跃思WANG Yuesi甘肃农业大学林学院,兰州 730070;中国科学院大气物理研究所大气边界层物理与大气化学国家重点实验室,北京 100029
李广LI Guang甘肃农业大学林学院,兰州 730070
引用:康颖,王莉莉,辛金元,陶明辉,宋涛,巩崇水,王跃思,李广.2019.基于AERONETOMI数据分析中国北方典型地区气溶胶单次散射反照率的变化趋势[J].气候与环境研究,24(5):537-551,doi:10.3878/j.issn.1006-9585.2018.18006.
Citation:KANG Ying,WANG Lili,XIN Jinyuan,TAO Minghui,SONG Tao,GONG Chongshui,WANG Yuesi,LI Guang.2019.Analysis of the Change Trend of Aerosol Single-Scattering Albedo in the Areas of Northern China Based on AERONET and OMI Data[J].Climatic and Environmental Research(in Chinese),24(5):537-551,doi:10.3878/j.issn.1006-9585.2018.18006.
中文摘要:
      气溶胶单次散射反照率(SSA)表征气溶胶吸收特性,很大程度上决定了气溶胶辐射强迫的正负,对准确评估气候变化中的气溶胶辐射强迫具有重要意义。根据2004年10月至2016年12月地基AERONET(AERosol RObotic NETwork)和OMI(Ozone Monitoring Instrument)卫星数据,分析了中国北方典型地区(北京、香河、兴隆和兰州郊区)SSA的变化趋势以及两组数据的一致性。4个站AERONET和OMI 的SSA年均值分别为:北京0.89±0.04和0.90±0.04,香河0.89±0.04和0.91±0.04,兴隆0.92±0.04和0.91±0.04,兰州0.91±0.04和0.90±0.04。4个站点SSA季节变化一致,夏季高冬季低。SSA年际变化趋势分析时,因有效数据较少且为非正态分布,用月中位数代替月均值,同时需对数据进行筛选和去季节变化,结果显示北京和香河均有地基和卫星有效数据时间尺度不同的情况,而兴隆OMI和兰州AERONET满足趋势分析要求。在研究期间,4站SSA均呈上升趋势,说明近年来中国北方气溶胶的吸收性减弱,散射特性增强,尤其北京四季地基和卫星数据均呈上升趋势,但香河秋冬吸收性增强。同时,对AERONET和OMI两种反演算法得到的SSA一致性进行分析。香河结果差异较大,仅30%的数据在误差±0.03的范围内,55%在±0.05的范围内;北京分别为46%(±0.03)和68%(±0.05),兴隆分别为50%(±0.03)和76%(±0.05),兰州数据一致性较好,分别为51%(±0.03)和86%(±0.05),总体来说是受人为活动影响比较明显的地区,数据一致性较差。
Abstract:
      The aerosol single-scattering albedo (SSA) refer to the characterization of aerosol absorption, which determines the positive and negative aerosol radiative forcing and accurate assessment of aerosol radiative forcing in climate change is of great significance. Based on AERONET (AERosol RObotic NETwork) and OMI (Ozone Monitoring Instrument) data from October 2004 to December 2016, the trend of aerosol SSA and comparison agreement with AERONET and OMI in the north of China (Beijing, Xianghe, Xinglong, and Lanzhou) were analyzed. The SSA annual mean of four sites were: Beijing 0.89±0.04 (AERONET) and 0.90±0.04 (OMI); Xianghe 0.89±0.04 (AERONET) and 0.91±0.04 (OMI); Xinglong 0.92±0.04 (AERONET) and 0.91±0.04 (OMI); Lanzhou 0.91±0.04 (AERONET) and 0.90±0.04 (OMI). All four sites showed the same seasonal variations, with high values in summer and low values in winter. Due to the limited data, the monthly average can not simply use to analyze the annual trend, we need to screen the data and remove the seasonal variation. The result showed that ground-based network and satellite had different time scales in both Beijing and Xianghe, while the OMI in Xinglong and AERONET in Lanzhou were meet the data requirements for trend analysis. The SSA of all four sites had the significant increases, indicating that the absorption of aerosol in the northern China have weaken and scattering have been enhanced in recent years. In particular, the AERONET and OMI retrievals of SSA were found an upward trend in four seasons at Beijing, but the absorption in autumn and winter was enhanced at Xianghe. In addition, due to the slight difference between AERONET and OMI, the data of AERONET and OMI were compared to accuracy of the results. The data of Xianghe revealed much bigger gap between the two inversions, which 30% of data agree within the absolute difference of ±0.03, and 55% agree within the difference of ±0.05; and 46% of Beijing data within ±0.03 and 68% within ±0.05, Xinglong 50% within ±0.03 and 78% within ±0.05; the data of Lanzhou was much better consistent, which 51% (86%) of data made agreement within the difference of ±0.03 (±0.05). In total, the data at sites which were more affected by human activities were consistently poor.
主办单位:中国科学院大气物理研究所/中国气象学会 单位地址:北京市9804信箱
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