Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.5194/acp-20-931-2020 |
Evaluation of a multi-model, multi-constituent assimilation framework for tropospheric chemical reanalysis | |
Miyazaki, Kazuyuki1,2; Bowman, Kevin W.1; Yumimoto, Keiya3; Walker, Thomas4; Sudo, Kengo2,5 | |
2020-01-24 | |
发表期刊 | ATMOSPHERIC CHEMISTRY AND PHYSICS
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ISSN | 1680-7316 |
EISSN | 1680-7324 |
出版年 | 2020 |
卷号 | 20期号:2页码:931-967 |
文章类型 | Article |
语种 | 英语 |
国家 | USA; Japan; Canada |
英文摘要 | We introduce a Multi-mOdel Multi-cOnstituent Chemical data assimilation (MOMO-Chem) framework that directly accounts for model error in transport and chemistry, and we integrate a portfolio of data assimilation analyses obtained using multiple forward chemical transport models in a state-of-the-art ensemble Kalman filter data assimilation system. The data assimilation simultaneously optimizes both concentrations and emissions of multiple species through ingestion of a suite of measurements (ozone, NO2, CO, HNO3) from multiple satellite sensors. In spite of substantial model differences, the observational density and accuracy was sufficient for the assimilation to reduce the multi-model spread by 20 %-85% for ozone and annual mean bias by 39 %-97% for ozone in the middle troposphere, while simultaneously reducing the tropospheric NO2 column biases by more than 40% and the negative biases of surface CO in the Northern Hemisphere by 41 %-94 %. For tropospheric mean OH, the multi-model mean meridional hemispheric gradient was reduced from 1.32 +/- 0.03 to 1.19 +/- 0.03, while the multi-model spread was reduced by 24 %-58% over polluted areas. The uncertainty ranges in the a posteriori emissions due to model errors were quantified in 4 %-31% for NOx and 13 %-35% for CO regional emissions. Harnessing assimilation increments in both NOx and ozone, we show that the sensitivity of ozone and NO2 surface concentrations to NOx emissions varied by a factor of 2 for end-member models, revealing fundamental differences in the representation of fast chemical and dynamical processes. A systematic investigation of model ozone response and analysis increment in MOMO-Chem could benefit evaluation of future prediction of the chemistry-climate system as a hierarchical emergent constraint. |
领域 | 地球科学 |
收录类别 | SCI-E |
WOS记录号 | WOS:000509404000002 |
WOS关键词 | BIOMASS BURNING EMISSIONS ; CHEMISTRY-CLIMATE MODEL ; CARBON-MONOXIDE OBSERVATIONS ; ENSEMBLE KALMAN FILTER ; ATMOSPHERIC CHEMISTRY ; SATELLITE NO2 ; INTERIM REANALYSIS ; ZONAL STRUCTURE ; TROPICAL O-3 ; AIR-QUALITY |
WOS类目 | Environmental Sciences ; Meteorology & Atmospheric Sciences |
WOS研究方向 | Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/278591 |
专题 | 地球科学 |
作者单位 | 1.CALTECH, Jet Prop Lab, Pasadena, CA 91125 USA; 2.Japan Agcy Marine Earth Sci & Technol JAMSTEC, Earth Surface Syst Res Ctr, Yokohama, Kanagawa 2360001, Japan; 3.Kyushu Univ, Res Inst Appl Mech, Kasuga Pk 6-1, Fukuoka 8168580, Japan; 4.Carleton Univ, Dept Civil & Environm Engn, Ottawa, ON, Canada; 5.Nagoya Univ, Grad Sch Environm Studies, Nagoya, Aichi, Japan |
推荐引用方式 GB/T 7714 | Miyazaki, Kazuyuki,Bowman, Kevin W.,Yumimoto, Keiya,et al. Evaluation of a multi-model, multi-constituent assimilation framework for tropospheric chemical reanalysis[J]. ATMOSPHERIC CHEMISTRY AND PHYSICS,2020,20(2):931-967. |
APA | Miyazaki, Kazuyuki,Bowman, Kevin W.,Yumimoto, Keiya,Walker, Thomas,&Sudo, Kengo.(2020).Evaluation of a multi-model, multi-constituent assimilation framework for tropospheric chemical reanalysis.ATMOSPHERIC CHEMISTRY AND PHYSICS,20(2),931-967. |
MLA | Miyazaki, Kazuyuki,et al."Evaluation of a multi-model, multi-constituent assimilation framework for tropospheric chemical reanalysis".ATMOSPHERIC CHEMISTRY AND PHYSICS 20.2(2020):931-967. |
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