Simultaneous assimilation of satellite NO 2 , O 3 , CO, and HNO 3 data for the analysis of tropospheric chemical composition and emissions

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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DOI:
10.5194/acp-12-9545-2012
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发表时间:
2012-10
影响因子:
6.3
通讯作者:
K. Miyazaki;H. Eskes;K. Sudo;M. Takigawa;M. Weele;K. F. Boersma
K. Miyazaki;H. Eskes;K. Sudo;M. Takigawa;M. Weele;K. F. Boersma
中科院分区:
地球科学1区
文献类型:
--
作者:
K. Miyazaki;H. Eskes;K. Sudo;M. Takigawa;M. Weele;K. F. Boersma

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我们开发了一种先进的化学数据同化系统,可以结合多个卫星对化合物的观测结果。臭氧监测仪 (OMI)、对流层发射光谱仪 (TES)、对流层污染测量仪 (MOPITT) 和微波临边探测仪 (MLS) 卫星仪器的 NO2、O3、CO 和 HNO3 测量值被纳入 2006-2007 年全球化学品迁移模型 CHASER 中。 CHASER数据同化系统(CHASER-DAS)基于局部系综变换卡尔曼滤波技术,同时优化化学物质以及O3前体的排放,同时考虑其化学反馈。利用可用的数据集,可以获得化学反馈的改进描述,特别是与 NOx-CO-OH-O3 化学反应集相关的描述。与独立卫星、飞机和臭氧探空仪数据的比较表明,数据同化导致各种化合物的显着改善。这些改进包括对流层 NO2 柱负偏差减少(减少 40-85%)、北半球 CO 负偏差减少(40-90%)以及对流层中上层 O3 正偏差减少(从 30-40% 减少到 10% 以内)。这些变化与 7 月份热带和南半球对流层 OH 浓度增加 5-15% 有关。观测系统实验(OSE)的目的是量化每个数据集对限制排放和浓度的相对重要性。 OSE 证实,通过模型描述的种间误差相关性和化学耦合,单个数据集的同化会对同化和非同化物种产生强烈影响。同时调整排放和浓度是纠正对流层臭氧预算和剖面分析的有力方法。
We have developed an advanced chemical data assimilation system to combine observations of chemical compounds from multiple satellites. NO2, O3, CO, and HNO3 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 O3 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-O3 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 NO2 column bias (by 40–85%), a reduced negative CO bias in the Northern Hemisphere (by 40–90%), and a reduced positive O3 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.