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Evaluation of a multi-model, multi-constituent assimilation framework for tropospheric chemical reanalysis
oleh: K. Miyazaki, K. Miyazaki, K. W. Bowman, K. Yumimoto, T. Walker, K. Sudo, K. Sudo
Format: | Article |
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Diterbitkan: | Copernicus Publications 2020-01-01 |
Deskripsi
<p>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, <span class="inline-formula">NO<sub>2</sub></span>, CO, <span class="inline-formula">HNO<sub>3</sub></span>) 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 <span class="inline-formula">NO<sub>2</sub></span> 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 <span class="inline-formula">1.32±0.03</span> to <span class="inline-formula">1.19±0.03</span>, 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 <span class="inline-formula">NO<sub><i>x</i></sub></span> and 13 %–35 % for CO regional emissions. Harnessing assimilation increments in both <span class="inline-formula">NO<sub><i>x</i></sub></span> and ozone, we show that the sensitivity of ozone and <span class="inline-formula">NO<sub>2</sub></span> surface concentrations to <span class="inline-formula">NO<sub><i>x</i></sub></span> 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.</p>