Preprint Article Version 1 This version is not peer-reviewed

Coupled Stratospheric Chemistry-Meteorology Data Assimilation. Part I: Modeling Chemistry-Dynamics Interactions

Version 1 : Received: 19 October 2019 / Approved: 20 October 2019 / Online: 20 October 2019 (02:41:39 CEST)

How to cite: Ménard, R.; Chabrillat, S.; Robichaud, A.; de Grandpré, J.; Charron, M.; Rochon, Y.; Batchelor, R.; Kallaur, A.; Reszka, M.; Kaminski, J.W. Coupled Stratospheric Chemistry-Meteorology Data Assimilation. Part I: Modeling Chemistry-Dynamics Interactions. Preprints 2019, 2019100233 (doi: 10.20944/preprints201910.0233.v1). Ménard, R.; Chabrillat, S.; Robichaud, A.; de Grandpré, J.; Charron, M.; Rochon, Y.; Batchelor, R.; Kallaur, A.; Reszka, M.; Kaminski, J.W. Coupled Stratospheric Chemistry-Meteorology Data Assimilation. Part I: Modeling Chemistry-Dynamics Interactions. Preprints 2019, 2019100233 (doi: 10.20944/preprints201910.0233.v1).

Abstract

A coupled stratospheric chemistry-meteorology model was developed by combining the Canadian operational weather prediction model Global Environmental Multiscale (GEM) with a comprehensive stratospheric photochemistry model from the Belgian Assimilation System for Chemical ObsErvations (BASCOE). The coupled model was called GEM-BACH for GEM-Belgian Atmospheric CHemistry. The coupling was made across a chemical interface that preserves time splitting while being modular, allowing GEM to run with or without chemistry. An evaluation of the coupling was performed by comparing the coupled model, refreshed by meteorological analyses every 6 hours, against the standard offline chemical transport model (CTM) approach. Results show that the dynamical meteorological consistency between meteorological analysis times far outweighs the error created by the jump resulting from the meteorological analysis increments at regular time intervals, irrespective whether a 3D-Var or 4D-Var meteorological analysis is used. GEM-BACH forecast refreshed by meteorological analyses every 6 hours were compared against independent measurements of temperature, long-lived species, ozone and water vapor. The comparison showed a relatively good agreement throughout the stratosphere except for an upper-level warm temperature bias and an ozone deficit of nearly 15%. Arguments in favor of using the same horizontal resolution for chemistry, meteorology, and meteorological analysis increments are also presented. In particular, the coupled model simulation during an ozone hole event gives better ozone concentrations than a 4D-Var chemical assimilation at a lower resolution.

Subject Areas

coupled chemistry-meteorology model; dynamical-photochemical-radiation interactions; comparison between online model and offline ctm

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