Sixteen years of GOME/ERS‐2 total ozone data: The new direct‐fitting GOME Data Processor (GDP) version 5—Algorithm description
Sixteen years of GOME/ERS‐2 total ozone data: The new direct‐fitting GOME Data Processor (GDP) version 5—Algorithm description
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DOI：
10.1029/2011jd016471
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发表时间：
2012-02
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通讯作者：
M. Roozendael;R. Spurr;D. Loyola;C. Lerot;D. Balis;J. Lambert;W. Zimmer;J. Gent;J. Geffen;M. Koukouli;J. Granville;A. Doicu;C. Fayt;C. Zehner
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作者：
M. Roozendael;R. Spurr;D. Loyola;C. Lerot;D. Balis;J. Lambert;W. Zimmer;J. Gent;J. Geffen;M. Koukouli;J. Granville;A. Doicu;C. Fayt;C. Zehner
[1]1995年4月在欧空局的ERS-2平台上发射了全球臭氧监测仪，自1995年7月以来，全球臭氧监测仪数据处理器的操作检索算法已产生了臭氧柱总数。我们报告了新的GDP 5谱拟合算法用于重新处理16年的国美数据记录。以前的GDP臭氧总量算法是基于DOAS方法。相比之下，GDP 5使用直接拟合算法，没有辐射的高通滤波;没有空气质量因子转换为垂直柱量。GDP 5包括直接辐射传输模拟的地照辐射和雅可比相对于臭氧总量，ECONDO关闭和其他辅助拟合参数-温度廓线的变化，以及欠采样和环效应干扰信号的振幅。模拟是基于从TOMS第8版数据库中提取的气候臭氧廓线，按总柱分类。GDP 5使用高分辨率的Brion-Daumont-Malicet臭氧吸收截面，取代了GOME测量的旧飞行模型数据。为GDP 4开发的半经验分子环校正已被改编为直接拟合。GDP 5的云预处理使用云校正算法OCRA和ROCINN的更新版本完成。重新处理的国美GDP 5记录保持了GDP 4已经实现的时间序列的显着长期稳定性。此外，验证结果表明，臭氧产品的准确性有了明显的提高，太阳天顶角和季节依赖性降低，特别是与地面布鲁尔风速计网络的相关观测相比。
[1] The Global Ozone Monitoring Instrument (GOME) was launched in April 1995 on ESA's ERS-2 platform, and the GOME Data Processor (GDP) operational retrieval algorithm has produced total ozone columns since July 1995. We report on the new GDP5 spectral fitting algorithm used to reprocess the 16-year GOME data record. Previous GDP total ozone algorithms were based on the DOAS method. In contrast, GDP5 uses a direct-fitting algorithm without high-pass filtering of radiances; there is no air mass factor conversion to vertical column amount. GDP5 includes direct radiative transfer simulation of earthshine radiances and Jacobians with respect to total ozone, albedo closure and other ancillary fitting parameters - a temperature profile shift, and amplitudes for undersampling and Ring-effect interference signals. Simulations are based on climatological ozone profiles extracted from the TOMS Version 8 database, classified by total column. GDP5 uses the high-resolution Brion-Daumont-Malicet ozone absorption cross-sections, replacing older GOME-measured flight model data. The semi-empirical molecular Ring correction developed for GDP4 has been adapted for direct fitting. Cloud preprocessing for GDP5 is done using updated versions of cloud-correction algorithms OCRA and ROCINN. The reprocessed GOME GDP5 record maintains the remarkable long-term stability of time series already achieved with GDP4. Furthermore, validation results show a clear improvement in the accuracy of the ozone product with reduced solar zenith angle and seasonal dependences, particularly in comparison with correlative observations from the ground-based network of Brewer spectrophotometers.