昆明地区的臭氧探测及地基臭氧总量反演方案的订正研究

发布时间:2018-10-23 10:06
【摘要】:基于2013年11月至2015年4月在昆明地区开展的臭氧探空实验,着眼于地基臭氧总量反演方案的修订,首先利用所获探空资料验证了微波临边探测器(MLS)和大气红外探测器(AIRS)卫星臭氧廓线产品,然后对Brewer SO2柱总量进行了订正分析,讨论了臭氧大气质量数(AMF)的近似计算和SO2含量对地基臭氧总量观测的影响,评估了四个版本臭氧吸收截面(Bass和Paur发布的版本(BPQ);Chehade等人使用SCIAMACHY分光仪测量的版本(SAC);Daumont、Brion和Malicet发布的版本(DBM);Serdyuchenko等人发布的版本(SER))在总量反演中应用,最后提出了地基臭氧总量的综合订正方案。结果表明:(1)MLS 4.2版臭氧产品质量较3.3版在对流层有很大提高,在82.5hPa处偏差很大,平均为(80.5±65.1)%。AIRS臭氧产品不能正确地描述对流层及下平流层的臭氧分布和变化。(2)在使用探空资料计算臭氧有效高度和有效温度时需要用卫星数据补充高层缺失的部分才能有效减小误差。(3)昆明市的SO2浓度主要集中在60 gg/m3以下,呈现出午后最低,上午9-10时最高的单峰形态分布。日变化主要受污染排放、太阳辐射和边界层发展情况影响。(4)利用午后近地面SO2浓度数据,订正昆明Brewer光谱仪测量的SO2柱总量,通过调整明显提高了Brewer观测值和地面浓度转换值的一致性。(5)当天顶角大于60°时,AMF对“臭氧层”高度较敏感,“臭氧层”越高AMF值越低,地球曲率和大气折射将使Dobson和Brewer近似产生显著误差(天顶角为85°时误差可达4%)。(6)SO2的有效吸收系数△γAD=1.843, SO2存在将会导致Dobson臭氧总量比实际值偏高。从20世纪80年代至今,由于大气中SO2的减少,使得其对Dobson臭氧总量的影响也随之减小,但污染严重的时段,仍不容忽略。 (7)Brewer和Dobson反演算法不同的温度依赖性,是导致两仪器具有季节性系统偏差的原因。Brewer算法受温度影响的程度小于Dobson,其温度依赖性分别为0.102%℃-1和-0.005%℃-1(以SAC计算结果为例)。考虑了温度对吸收系数的影响后,偏差的季节性特征得到有效抑制。反演结果对吸收截面的选择比较敏感,其中,BPQ、DBM和SER的应用使两仪器偏差整体偏大,分别为2.92%,-2.57%和-1.83%,只有使用SAC时臭氧总量符合最好,偏差仅为0.03%。(8)综合订正方案能够有效地缩小Brewer和Dobson观测数据的偏差范围,使两组数据保持良好的一致性。在中低纬大气比较清洁的观测站,臭氧有效吸收系数对订正的贡献最大约占57.9~91.2%,SO2次之约占7.9~37.8%,AMF最小约占0.9~4.3%。
[Abstract]:Based on the ozone sounding experiments conducted in Kunming from November 2013 to April 2015, with an eye to the revision of the ground-based total ozone retrieval scheme, The ozone profile products of microwave edge detector (MLS) and atmospheric infrared detector (AIRS) satellite were verified by using the obtained radiosonde data, and the total amount of Brewer SO2 column was revised and analyzed. The approximate calculation of ozone mass number (AMF) and the effect of SO2 content on ground-based ozone total measurement are discussed. Four versions of ozone absorption cross sections (Bass and Paur release version (BPQ); Chehade et al.) using SCIAMACHY spectrometer measurements of (SAC); Daumont,Brion and Malicet release version (DBM); Serdyuchenko et al. Release (SER) were evaluated for total volume retrieval. Finally, a comprehensive revised scheme for the total amount of ozone in the foundation is put forward. The results show that: (1) the quality of ozone product of MLS 4.2 is much higher than that of version 3.3 in troposphere, and the deviation is very large at 82.5hPa. The average value is (80.5 卤65.1)%. The AIRS ozone product can not correctly describe the ozone distribution and variation in the troposphere and the lower stratosphere. (2) when using the sounding data to calculate the effective altitude and effective temperature of ozone, satellite data should be used to replace the missing parts of the upper layer. (3) the concentration of SO2 in Kunming is mainly below 60 gg/m3. The distribution of single peak was the lowest in the afternoon and the highest in the morning. The diurnal variation is mainly affected by the pollution emission, solar radiation and the development of boundary layer. (4) the total amount of SO2 column measured by Kunming Brewer spectrometer is revised by using the data of SO2 concentration near the ground in the afternoon. The consistency between the observed values of Brewer and the conversion values of ground concentrations is improved obviously by adjusting. (5) when the vertex angle is greater than 60 掳, AMF is more sensitive to the "ozone layer", and the higher the "ozone layer" is, the lower the AMF value is. The existence of the effective absorption coefficient 纬 AD=1.843, SO2 of Dobson and Brewer (up to 4%). (6 at the zenith angle of 85 掳) will result in a higher total amount of Dobson ozone than the actual value due to the existence of the effective absorption coefficient 纬 AD=1.843, SO2 of the earth curvature and atmospheric refraction. From the 1980s to the present, due to the decrease of SO2 in the atmosphere, its influence on the total amount of Dobson ozone is also reduced, but the serious pollution period should not be ignored. (7) the temperature dependence of Brewer and Dobson inversion algorithms is different, which leads to the seasonal system deviation of the two instruments. The temperature dependence of Brewer algorithm is less than that of Dobson, whose temperature dependence is 0.102% 鈩,

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