Assimilation of satellite observations of long-lived chemical species in global chemistry transport models
Assimilation of satellite observations of long-lived chemical species in global chemistry transport models
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全球化学传输模型中长寿化学物质的卫星观测同化
DOI：
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发表时间：
2000
期刊：
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通讯作者：
J. Gille
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作者：
B. Khattatov;J. Lamarque;L. Lyjak;R. Ménard;P. Levelt;X. Tie;G. Brasseur;J. Gille
在全球化学传输模型（CTM）中使用数据同化技术（例如最佳插值或凯曼过滤器）变得越来越普遍。然而，由于高的计算要求，它往往是难以将这些技术应用到多维模型包含广泛的光化学方案。我们提出了一个顺序同化的方法，用于一般的全球化学传输模式。它允许快速同化和卫星观测绘图，并提供分析误差的估计。所建议的数据同化方案是从Levelt等人[1998年]所描述的方案发展而来的。它是次优Kaiman滤波器的变体，基于梅纳尔等人[2000]和梅纳尔和Chang [2000]描述的思想。开发计划的最重要的功能之一是它的能力，定期估计方差的分析和预测方差演变的模型。所开发的技术（或其变体）已成功地与一些不同的全球模型接口，并用于同化几种类型的测量，包括气溶胶消光比。Lamarque等人[1999]和W. D.柯林斯等人（利用卫星气溶胶反演同化的化学传输模型预测气溶胶：INDOEX方法，提交给地球物理研究杂志，2000年，以下简称柯林斯等人，手稿，2000年）。我们使用同化的臭氧观测的高层大气研究卫星/微波临边探测器在三维化学传输模式ROSE [研究臭氧在平流层及其演变;玫瑰和Brasseur，1989年]的方法来说明。
Use of data assimilation techniques such as optimal interpolation or the Kaiman filter in global chemistry transport models (CTM) is becoming more common. However, owing to high computational requirements, it is often difficult to apply these techniques to multidimensional models containing extensive photochemical schemes. We present a sequential assimilation approach developed for use with general global chemistry transport models. It allows fast assimilation and mapping of satellite observations and provides estimates of analysis errors. The suggested data assimilation scheme evolved from the one described by Levelt et al. [1998]. It is a variant of the suboptimal Kaiman filter and is based on ideas described by Menard et al. [2000] and Menard and Chang [200O]. One of the most important features of the developed scheme is its ability to routinely estimate variance of the analysis and to predict variance evolution in the model. The developed technique (or its variants) has been successfully interfaced with a number of different global models and used for assimilation of several types of measurements, including aerosol extinction ratios. Some of these experiments are described by Lamarque et al. [1999] and W. D. Collins et al. (Forecasting aerosols using a chemical transport model with assimilation of satellite aerosol retrievals: Methodology for INDOEX, submitted to Journal of Geophysical Research, 2000, hereinafter referred to as Collins et al., submitted manuscript, 2000). We illustrate the method using assimilation of ozone observations made by the Upper Atmosphere Research Satellite/Microwave Limb Sounder in the three-dimensional chemistry transport model ROSE [Research for Ozone in the Stratosphere and its Evolution; Rose and Brasseur, 1989].