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首页> 外文期刊>Journal of Geophysical Research, D. Atmospheres: JGR >Estimating atmospheric CO2 from advanced infrared satellite radiances within an operational four-dimensional variational (4D-Var) data assimilation system: Results and validation
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Estimating atmospheric CO2 from advanced infrared satellite radiances within an operational four-dimensional variational (4D-Var) data assimilation system: Results and validation

机译：在运行的四维变分（4D-Var）数据同化系统中，根据高级红外卫星辐射估算大气中的二氧化碳：结果和验证

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摘要

More than a year of Atmospheric Infrared Sounder (AIRS) radiance observations have been assimilated in the European Centre for Medium-Range Weather Forecasts four-dimensional variational (4D-Var) data assimilation system to estimate tropospheric CO2. The assimilation of a set of 18 spectral channels provides a mean tropospheric mixing ratio representing a layer between ～700 hPa and the tropopause. Analysis errors for a 5-day mean on a 6° by 6° averaging grid box are on the order of 1%. Comparisons with independent flight data from Japanese Airlines and National Oceanic and Atmospheric Administration Climate Monitoring and Diagnostics Laboratory are favorable. Differences between the averaged assimilation estimates and the onboard flask observations are generally within the 1-σ error bars. Currently, this work is being extended by introducing CO2 as a full assimilation model tracer variable, which will allow the operational monitoring of atmospheric CO2 using AIRS observations and observations from upcoming instruments.
机译：在欧洲中距离天气预报中心的四维变分（4D-Var）数据同化系统中，已对大气红外探测仪（AIRS）辐射观测进行了一年以上的估算，以估算对流层CO2。一组18个光谱通道的同化提供了一个平均对流层混合比，代表了约700 hPa和对流层顶之间的一个层。在6°x 6°的平均网格框中，5天平均值的分析误差约为1％。与日本航空和国家海洋与大气管理局气候监测与诊断实验室的独立飞行数据进行比较是有利的。平均同化估计值与车载烧瓶观测值之间的差异通常在1-σ误差线之内。目前，这项工作正在通过引入二氧化碳作为完全同化模型示踪剂变量而得到扩展，这将允许使用AIRS观测值和未来仪器的观测值对大气中的二氧化碳进行操作监测。

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