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首页> 外文期刊>Atmospheric chemistry and physics >Simultaneous assimilation of satellite NO _2, O _3, CO, and HNO _3 data for the analysis of tropospheric chemical composition and emissions
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Simultaneous assimilation of satellite NO _2, O _3, CO, and HNO _3 data for the analysis of tropospheric chemical composition and emissions

机译：卫星NO _2，O _3，CO和HNO _3数据的同时同化，用于对流层化学成分和排放的分析

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We have developed an advanced chemical data assimilation system to combine observations of chemical compounds from multiple satellites. NO _2, O _3, CO, and HNO _3 measurements from the Ozone Monitoring Instrument (OMI), Tropospheric Emission Spectrometer (TES), Measurement of Pollution in the Troposphere (MOPITT), and Microwave Limb Sounder (MLS) satellite instruments are assimilated into the global chemical transport model CHASER for the years 2006-2007. The CHASER data assimilation system (CHASER-DAS), based on the local ensemble transform Kalman filter technique, simultaneously optimizes the chemical species, as well as the emissions of O _3 precursors, while taking their chemical feedbacks into account. With the available datasets, an improved description of the chemical feedbacks can be obtained, especially related to the NOx-CO-OH-O _3 set of chemical reactions. Comparisons against independent satellite, aircraft, and ozonesonde data show that the data assimilation results in substantial improvements for various chemical compounds. These improvements include a reduced negative tropospheric NO _2 column bias (by 40-85%), a reduced negative CO bias in the Northern Hemisphere (by 40-90%), and a reduced positive O _3 bias in the middle and upper troposphere (from 30-40% to within 10%). These changes are related to increased tropospheric OH concentrations by 5-15% in the tropics and the Southern Hemisphere in July. Observing System Experiments (OSEs) have been conducted to quantify the relative importance of each data set on constraining the emissions and concentrations. The OSEs confirm that the assimilation of individual data sets results in a strong influence on both assimilated and non-assimilated species through the inter-species error correlation and the chemical coupling described by the model. The simultaneous adjustment of the emissions and concentrations is a powerful approach to correcting the tropospheric ozone budget and profile analyses.
机译：我们已经开发了先进的化学数据同化系统，以结合多颗卫星对化学化合物的观测结果。将臭氧监测仪（OMI），对流层发射光谱仪（TES），对流层污染测量（MOPITT）和微波测深仪（MLS）卫星仪器的NO _2，O _3，CO和HNO _3测量值同化为2006-2007年全球化学品运输模型CHASER。基于局部集成变换卡尔曼滤波技术的CHASER数据同化系统（CHASER-DAS）同时优化了化学种类以及O _3前体的排放，同时考虑了它们的化学反馈。利用可用的数据集，可以获得对化学反馈的改进描述，特别是与NOx-CO-OH-O _3化学反应集有关。与独立卫星，飞机和臭氧探空仪数据的比较表明，数据同化可显着改善各种化合物。这些改进包括：减少了对流层NO _2负柱偏置（降低了40％至85％），减少了北半球的CO负向偏置（降低了40-90％），并降低了对流层中和上层的O _3正偏置（从30-40％到10％以内）。这些变化与7月热带和南半球对流层OH浓度增加5-15％有关。已经进行了观测系统实验（OSE），以量化每个数据集在限制排放量和浓度方面的相对重要性。 OSE证实，通过种间误差相关性和模型描述的化学耦合，单个数据集的同化会对同化和非同化物种产生强大影响。同时调整排放量和浓度是校正对流层臭氧预算和剖面分析的有力方法。

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