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首页> 外文期刊>Journal of Geophysical Research, D. Atmospheres: JGR >Hydrogen fluoride total and partial column time series above the Jungfraujoch from long-term FTIR measurements: Impact of the line-shape model, characterization of the error budget and seasonal cycle, and comparison with satellite and model data
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Hydrogen fluoride total and partial column time series above the Jungfraujoch from long-term FTIR measurements: Impact of the line-shape model, characterization of the error budget and seasonal cycle, and comparison with satellite and model data

机译:氟化氢和部分列总时间系列上面慢慢的从长期的红外光谱测量:线模型的影响,预算和季节性特征的错误周期,并与卫星和模型数据

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摘要

Time series of hydrogen fluoride (HF) total columns have been derived from ground-based Fourier transform infrared (FTIR) solar spectra recorded between March 1984 and December 2009 at the International Scientific Station of the Jungfraujoch (Swiss Alps, 46. 5°N, 8.0°E, 3580 m as!) with two high-resolution spectrometers (one homemade and one Bruker 120-HR). Solar spectra have been inverted with the PROFFIT 9.5 algorithm, using the optimal estimation method. An intercomparison of HF total columns retrieved with PROFFIT and SFIT-2–the other reference algorithm in the FTIR community–is performed for the first time. The effect of a Galatry line shape model on HF retrieved total columns and vertical profiles, on the residuals of the fits and on the error budget is also quantified. Information content analysis indicates that in addition to HF total vertical abundance, three independent stratospheric HF partial columns can be derived from our Bruker spectra. A complete error budget has been established and indicates that the main source of systematic error is linked to HF spectroscopy and that the random error affecting our HF total columns does not exceed 2.5%. Ground-based middle and upper stratospheric HF amounts have been compared to satellite data collected by the HALOE or ACE-FTS instruments. Comparisons of our FTIR HF total and partial columns with runs performed by two three-dimensional numerical models (SLIMCAT and KASIMA) are also included. Finally, FTIR and model HF total and partial columns time series have been analyzed to derive the main characteristics of their seasonal cycles.
机译:氟化氢(HF)总量的时间序列列来自地面傅里叶变换红外(FTIR)太阳能光谱1984年3月至2009年12月在记录国际科学站与两个高分辨率光谱仪(!)自制的一个力量120 - hr)。已经倒PROFFIT 9.5算法,使用最优估计方法。高频总列检索的相互比较与PROFFIT SFIT-2-the其他参考算法在红外光谱社区进行这已经不是第一次了。形状模型对高频总列和检索垂直概要,残差的适合和误差预算也是量化。分析表明,信息内容高频垂直总丰度,三个独立的高频部分列可以来自我们的力量光谱。误差预算已经建立和指示系统误差的主要来源与高频光谱学和随机的错误并不影响我们的高频总列超过2.5%。平流层的高频量相比HALOE或ACE-FTS项目卫星收集的数据仪器。运行由两部分列(SLIMCAT和三维数值模型KASIMA)也包括在内。时间序列模型高频全部和部分列分析了得出的主要季节性周期的特征。

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