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1

Menut, Laurent, Arineh Cholakian, Romain Pennel, et al. "The CHIMERE chemistry-transport model v2023r1." Geoscientific Model Development 17, no. 14 (2024): 5431–57. http://dx.doi.org/10.5194/gmd-17-5431-2024.

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Abstract. A new version of the CHIMERE model is presented. This version contains both computational and physico-chemical changes. The computational changes make it easy to choose the variables to be extracted as a result, including values of maximum sub-hourly concentrations. Performance tests show that the model is 1.5 to 2 times faster than the previous version for the same setup. Processes such as turbulence, transport schemes and dry deposition have been modified and updated. Optimization was also performed for the management of emissions such as anthropogenic and mineral dust. The impact
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2

Wohltmann, I., and M. Rex. "The Lagrangian chemistry and transport model ATLAS: validation of transport and mixing." Geoscientific Model Development Discussions 2, no. 2 (2009): 709–62. http://dx.doi.org/10.5194/gmdd-2-709-2009.

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Abstract. We present a new global Chemical Transport Model (CTM) with full stratospheric chemistry and Lagrangian transport and mixing called ATLAS (Alfred Wegener InsTitute LAgrangian Chemistry/Transport System). Lagrangian (trajectory-based) models have several important advantages over conventional Eulerian (grid-based) models, including the absence of spurious numerical diffusion, efficient code parallelization and no limitation of the largest time step by the Courant-Friedrichs-Lewy criterion. The basic concept of transport and mixing is similar to the approach in the commonly used CLaMS
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3

Menut, Laurent, Bertrand Bessagnet, Régis Briant, et al. "The CHIMERE v2020r1 online chemistry-transport model." Geoscientific Model Development 14, no. 11 (2021): 6781–811. http://dx.doi.org/10.5194/gmd-14-6781-2021.

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Abstract. The CHIMERE chemistry-transport model v2020r1 replaces the v2017r5 version and provides numerous novelties. The most important of these is the online coupling with the Weather Research and Forecasting (WRF) meteorological model via the OASIS3 – Model Coupling Toolkit (MCT) external coupler. The model can still be used in offline mode; the online mode enables us to take into account the direct and indirect effects of aerosols on meteorology. This coupling also enables using the meteorological parameters with sub-hourly time steps. Some new parameterizations are implemented to increase
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4

Wohltmann, I., and M. Rex. "The Lagrangian chemistry and transport model ATLAS: validation of advective transport and mixing." Geoscientific Model Development 2, no. 2 (2009): 153–73. http://dx.doi.org/10.5194/gmd-2-153-2009.

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Abstract. We present a new global Chemical Transport Model (CTM) with full stratospheric chemistry and Lagrangian transport and mixing called ATLAS (Alfred Wegener InsTitute LAgrangian Chemistry/Transport System). Lagrangian (trajectory-based) models have several important advantages over conventional Eulerian (grid-based) models, including the absence of spurious numerical diffusion, efficient code parallelization and no limitation of the largest time step by the Courant-Friedrichs-Lewy criterion. The basic concept of transport and mixing is similar to the approach in the commonly used CLaMS
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5

Deckert, R., P. Jöckel, V. Grewe, K. D. Gottschaldt, and P. Hoor. "A quasi chemistry-transport model mode for EMAC." Geoscientific Model Development Discussions 3, no. 4 (2010): 2189–220. http://dx.doi.org/10.5194/gmdd-3-2189-2010.

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Abstract. A quasi chemistry-transport model mode (QCTM) is presented for the numerical chemistry-climate simulation system ECHAM/MESSy Atmospheric Chemistry (EMAC). It allows for a quantification of chemical signals through suppression of any feedback between chemistry and dynamics. Noise would otherwise interfere too strongly. The signal follows from the difference of two QCTM simulations, reference and sensitivity. These are fed with offline chemical fields as a substitute of the feedbacks between chemistry and dynamics: offline mixing ratios of radiatively active substances enter the radiat
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Deckert, R., P. Jöckel, V. Grewe, K. D. Gottschaldt, and P. Hoor. "A quasi chemistry-transport model mode for EMAC." Geoscientific Model Development 4, no. 1 (2011): 195–206. http://dx.doi.org/10.5194/gmd-4-195-2011.

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Abstract. A quasi chemistry-transport model mode (QCTM) is presented for the numerical chemistry-climate simulation system ECHAM/MESSy Atmospheric Chemistry (EMAC). It allows for a quantification of chemical signals through suppression of any feedback between chemistry and dynamics. Noise would otherwise interfere too strongly. The signal is calculated from the difference of two QCTM simulations, a reference simulation and a sensitivity simulation. In order to avoid the feedbacks, the simulations adopt the following offline chemical fields: (a) offline mixing ratios of radiatively active subst
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7

Riede, H., P. Jöckel, and R. Sander. "Quantifying atmospheric transport, chemistry, and mixing using a new trajectory-box model and a global atmospheric-chemistry GCM." Geoscientific Model Development 2, no. 2 (2009): 267–80. http://dx.doi.org/10.5194/gmd-2-267-2009.

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Abstract. We present a novel method for the quantification of transport, chemistry, and mixing along atmospheric trajectories based on a consistent model hierarchy. The hierarchy consists of the new atmospheric-chemistry trajectory-box model CAABA/MJT and the three-dimensional (3-D) global ECHAM/MESSy atmospheric-chemistry (EMAC) general circulation model. CAABA/MJT employs the atmospheric box model CAABA in a configuration using the atmospheric-chemistry submodel MECCA (M), the photochemistry submodel JVAL (J), and the new trajectory submodel TRAJECT (T), to simulate chemistry along atmospher
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8

Wohltmann, Ingo, Daniel Kreyling, and Ralph Lehmann. "Transport parameterization of the Polar SWIFT model (version 2)." Geoscientific Model Development 15, no. 18 (2022): 7243–55. http://dx.doi.org/10.5194/gmd-15-7243-2022.

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Abstract. The Polar SWIFT model is a fast scheme for calculating the chemistry of stratospheric ozone depletion in the polar vortex in winter. It is intended for use in general circulation models (GCMs) and earth system models (ESMs) to enable the simulation of interactions between the ozone layer and climate when a full stratospheric chemistry scheme is computationally too expensive. In addition to the simulation of chemistry, ozone has to be transported in the GCM. As an alternative to the general schemes for the transport and mixing of tracers in the GCMs, a parameterization of the transpor
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9

Wang, ChangJian, Jennifer Wen, ShouXiang Lu, and Jin Guo. "Single-step chemistry model and transport coefficient model for hydrogen combustion." Science China Technological Sciences 55, no. 8 (2012): 2163–68. http://dx.doi.org/10.1007/s11431-012-4932-4.

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10

Borisov, D. V., and I. U. Shalygina. "Refinement of land use data for emission calculations in the CHIMERE chemistry-transport model: A case study for the Nizhny Novgorod region ." Hydrometeorological research and forecasting 3 (September 2021): 150–61. http://dx.doi.org/10.37162/2618-9631-2021-3-150-161.

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Refinement of land use data for emission calculations in the CHIMERE chemistry-transport model: A case study for the Nizhny Novgorod region / Borisov D.V., Shalygina I.U. // Hydrometeorological Research and Forecasting, 2021, no. 3 (381), pp. 150-161. The quality of calculating the concentration of pollutants in the chemistry-transport model largely depends on the reliability of used emission data. The possibility of updating the EMEP (European Monitoring and Evaluation Program) emission data using OpenStreetMap geodata for the CHIMERE chemistry-transport model calculations is discussed on the
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11

Riede, H., P. Jöckel, and R. Sander. "Quantifying atmospheric transport, chemistry, and mixing using a new trajectory-box model and a global atmospheric-chemistry GCM." Geoscientific Model Development Discussions 2, no. 1 (2009): 455–84. http://dx.doi.org/10.5194/gmdd-2-455-2009.

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Abstract. We present a novel method for the quantification of transport, chemistry, and mixing along atmospheric trajectories based on a consistent model hierarchy. The hierarchy consists of the new atmospheric-chemistry trajectory-box model CAABA/MJT and the three-dimensional (3-D) global ECHAM/MESSy atmospheric-chemistry (EMAC) general circulation model (GCM). CAABA/MJT employs the atmospheric box model CAABA together with the atmospheric-chemistry submodel MECCA (M), the photochemistry submodel JVAL (J), and the new trajectory submodel TRAJECT (T), to simulate atmospheric chemistry along at
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12

Jung, G., I. M. Hedgecock, and N. Pirrone. "ECHMERIT V1.0 – a new global fully coupled mercury-chemistry and transport model." Geoscientific Model Development Discussions 2, no. 1 (2009): 385–453. http://dx.doi.org/10.5194/gmdd-2-385-2009.

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Abstract. Mercury is a global pollutant due to its long lifetime in the atmosphere. Its hemispheric transport patterns and eventual deposition are therefore of major concern. For the purpose of global atmospheric mercury chemistry and transport modelling the ECHMERIT model was developed. ECHMERIT, based on the global circulation model ECHAM5 differs from most global mercury models in that the emissions, chemistry (including general tropospheric chemistry and mercury chemistry), transport and deposition are coupled on-line to the GCM. The chemistry mechanism includes an online calculation of ph
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13

Jung, G., I. M. Hedgecock, and N. Pirrone. "ECHMERIT V1.0 – a new global fully coupled mercury-chemistry and transport model." Geoscientific Model Development 2, no. 2 (2009): 175–95. http://dx.doi.org/10.5194/gmd-2-175-2009.

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Abstract. Mercury is a global pollutant due to its long lifetime in the atmosphere. Its hemispheric transport patterns and eventual deposition are therefore of major concern. For the purpose of global atmospheric mercury chemistry and transport modelling the ECHMERIT model was developed. ECHMERIT, based on the global circulation model ECHAM5 differs from most global mercury models in that the emissions, chemistry (including general tropospheric chemistry and mercury chemistry), transport and deposition are coupled on-line to the GCM. The chemistry mechanism includes an online calculation of ph
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14

Menut, Laurent, Sylvain Mailler, Bertrand Bessagnet, et al. "An alternative way to evaluate chemistry-transport model variability." Geoscientific Model Development 10, no. 3 (2017): 1199–208. http://dx.doi.org/10.5194/gmd-10-1199-2017.

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Abstract. A simple and complementary model evaluation technique for regional chemistry transport is discussed. The methodology is based on the concept that we can learn about model performance by comparing the simulation results with observational data available for time periods other than the period originally targeted. First, the statistical indicators selected in this study (spatial and temporal correlations) are computed for a given time period, using colocated observation and simulation data in time and space. Second, the same indicators are used to calculate scores for several other year
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15

Smyshlyaev, Sergei P., Andrei R. Yakovlev, Margarita A. Usacheva, Anastasia S. Imanova, Denis D. Romashchenko, and Maxim A. Motsakov. "Chemistry module for the Earth system model." Russian Journal of Numerical Analysis and Mathematical Modelling 39, no. 6 (2024): 353–62. http://dx.doi.org/10.1515/rnam-2024-0030.

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Abstract The description of the new version of the INM–RSHU chemistry–climate model, created on the basis of the climate model INMCM6.0 is presented. A special feature of the new version of the chemistry–climate model is the complete unification of the model structure with the basic core of the INMCM6.0 climate model. The transport of chemically active species in the atmosphere is performed on the same grid and by the same methods as the transport of meteorological parameters and aerosol. Chemical transformations are added as local processes at each grid point of the model, correcting the chan
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16

Schraner, M., E. Rozanov, C. Schnadt Poberaj, et al. "Technical Note: Chemistry-climate model SOCOL: version 2.0 with improved transport and chemistry/microphysics schemes." Atmospheric Chemistry and Physics Discussions 8, no. 3 (2008): 11103–47. http://dx.doi.org/10.5194/acpd-8-11103-2008.

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Abstract. We describe version 2.0 of the chemistry-climate model (CCM) SOCOL. The new version includes fundamental changes of the transport scheme such as transporting all chemical species of the model individually and applying a family-based correction scheme for mass conservation for species of the nitrogen, chlorine and bromine groups, a revised transport scheme for ozone, furthermore more detailed halogen reaction and deposition schemes, and a new cirrus parameterisation in the tropical tropopause region. By means of these changes the model manages to overcome or considerably reduce defici
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17

Schraner, M., E. Rozanov, C. Schnadt Poberaj, et al. "Technical Note: Chemistry-climate model SOCOL: version 2.0 with improved transport and chemistry/microphysics schemes." Atmospheric Chemistry and Physics 8, no. 19 (2008): 5957–74. http://dx.doi.org/10.5194/acp-8-5957-2008.

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Abstract. We describe version 2.0 of the chemistry-climate model (CCM) SOCOL. The new version includes fundamental changes of the transport scheme such as transporting all chemical species of the model individually and applying a family-based correction scheme for mass conservation for species of the nitrogen, chlorine and bromine groups, a revised transport scheme for ozone, furthermore more detailed halogen reaction and deposition schemes, and a new cirrus parameterisation in the tropical tropopause region. By means of these changes the model manages to overcome or considerably reduce defici
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18

Strahan, S. E., and B. C. Polansky. "Implementation issues in chemistry and transport models." Atmospheric Chemistry and Physics Discussions 5, no. 5 (2005): 10217–58. http://dx.doi.org/10.5194/acpd-5-10217-2005.

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Abstract. Offline chemistry and transport models (CTMs) are versatile tools for studying composition and climate issues requiring multi-decadal simulations. They are computationally fast compared to coupled chemistry climate models, making them well-suited for integrating sensitivity experiments necessary for understanding model performance and interpreting results. The archived meteorological fields used by CTMs can be implemented with lower horizontal or vertical resolution than the original meteorological fields in order to shorten integration time, but the effects of these shortcuts on tra
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19

Orbe, Clara, Huang Yang, Darryn W. Waugh, et al. "Large-scale tropospheric transport in the Chemistry–Climate Model Initiative (CCMI) simulations." Atmospheric Chemistry and Physics 18, no. 10 (2018): 7217–35. http://dx.doi.org/10.5194/acp-18-7217-2018.

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Abstract. Understanding and modeling the large-scale transport of trace gases and aerosols is important for interpreting past (and projecting future) changes in atmospheric composition. Here we show that there are large differences in the global-scale atmospheric transport properties among the models participating in the IGAC SPARC Chemistry–Climate Model Initiative (CCMI). Specifically, we find up to 40 % differences in the transport timescales connecting the Northern Hemisphere (NH) midlatitude surface to the Arctic and to Southern Hemisphere high latitudes, where the mean age ranges between
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20

Allen, Dale J., Prasad Kasibhatla, Anne M. Thompson, et al. "Transport-induced interannual variability of carbon monoxide determined using a chemistry and transport model." Journal of Geophysical Research: Atmospheres 101, no. D22 (1996): 28655–69. http://dx.doi.org/10.1029/96jd02984.

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21

Menut, L., B. Bessagnet, D. Khvorostyanov, et al. "CHIMERE 2013: a model for regional atmospheric composition modelling." Geoscientific Model Development 6, no. 4 (2013): 981–1028. http://dx.doi.org/10.5194/gmd-6-981-2013.

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Abstract. Tropospheric trace gas and aerosol pollutants have adverse effects on health, environment and climate. In order to quantify and mitigate such effects, a wide range of processes leading to the formation and transport of pollutants must be considered, understood and represented in numerical models. Regional scale pollution episodes result from the combination of several factors: high emissions (from anthropogenic or natural sources), stagnant meteorological conditions, kinetics and efficiency of the chemistry and the deposition. All these processes are highly variable in time and space
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22

Emmerson, K. M., and M. J. Evans. "Comparison of tropospheric chemistry schemes for use within global models." Atmospheric Chemistry and Physics Discussions 8, no. 6 (2008): 19957–87. http://dx.doi.org/10.5194/acpd-8-19957-2008.

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Abstract. Methane and ozone are two important climate gases with significant tropospheric chemistry. Within chemistry-climate and transport models this chemistry is simplified for computational expediency. We compare the state of the art Master Chemical Mechanism (MCM) with six tropospheric chemistry schemes (CRI-reduced, GEOS-CHEM and a GEOS-CHEM adduct, MOZART, TOMCAT and CBM-IV) that could be used within composition transport models. We test the schemes within a box model framework under conditions derived from a composition transport model and from field observations from a regional scale
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23

Solazzo, Efisio, and Stefano Galmarini. "Error apportionment for atmospheric chemistry-transport models – a new approach to model evaluation." Atmospheric Chemistry and Physics 16, no. 10 (2016): 6263–83. http://dx.doi.org/10.5194/acp-16-6263-2016.

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Abstract. In this study, methods are proposed to diagnose the causes of errors in air quality (AQ) modelling systems. We investigate the deviation between modelled and observed time series of surface ozone through a revised formulation for breaking down the mean square error (MSE) into bias, variance and the minimum achievable MSE (mMSE). The bias measures the accuracy and implies the existence of systematic errors and poor representation of data complexity, the variance measures the precision and provides an estimate of the variability of the modelling results in relation to the observed data
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24

Emmerson, K. M., and M. J. Evans. "Comparison of tropospheric gas-phase chemistry schemes for use within global models." Atmospheric Chemistry and Physics 9, no. 5 (2009): 1831–45. http://dx.doi.org/10.5194/acp-9-1831-2009.

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Abstract. Methane and ozone are two important climate gases with significant tropospheric chemistry. Within chemistry-climate and transport models this chemistry is simplified for computational expediency. We compare the state of the art Master Chemical Mechanism (MCM) with six tropospheric chemistry schemes (CRI-reduced, GEOS-CHEM and a GEOS-CHEM adduct, MOZART-2, TOMCAT and CBM-IV) that could be used within composition transport models. We test the schemes within a box model framework under conditions derived from a composition transport model and from field observations from a regional scal
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25

Manders, Astrid M. M., Peter J. H. Builtjes, Lyana Curier, et al. "Curriculum vitae of the LOTOS–EUROS (v2.0) chemistry transport model." Geoscientific Model Development 10, no. 11 (2017): 4145–73. http://dx.doi.org/10.5194/gmd-10-4145-2017.

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Abstract. The development and application of chemistry transport models has a long tradition. Within the Netherlands the LOTOS–EUROS model has been developed by a consortium of institutes, after combining its independently developed predecessors in 2005. Recently, version 2.0 of the model was released as an open-source version. This paper presents the curriculum vitae of the model system, describing the model's history, model philosophy, basic features and a validation with EMEP stations for the new benchmark year 2012, and presents cases with the model's most recent and key developments. By s
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26

Richardson, John D. "A new model for plasma transport and chemistry at Saturn." Journal of Geophysical Research 97, A9 (1992): 13705. http://dx.doi.org/10.1029/92ja00920.

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27

Carmichael, Gregory R., and Leonard K. Peters. "A second generation model for regional-scale transport/chemistry/deposition." Atmospheric Environment (1967) 20, no. 1 (1986): 173–88. http://dx.doi.org/10.1016/0004-6981(86)90218-0.

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28

Jorba, Oriol, Thomas Loridan, Pedro Jiménez-Guerrero, Carlos Pérez, and José María Baldasano. "Linking the advanced research WRF meteorological model with the CHIMERE chemistry-transport model." Environmental Modelling & Software 23, no. 8 (2008): 1092–94. http://dx.doi.org/10.1016/j.envsoft.2008.02.002.

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Charlesworth, Edward J., Ann-Kristin Dugstad, Frauke Fritsch, Patrick Jöckel, and Felix Plöger. "Impact of Lagrangian transport on lower-stratospheric transport timescales in a climate model." Atmospheric Chemistry and Physics 20, no. 23 (2020): 15227–45. http://dx.doi.org/10.5194/acp-20-15227-2020.

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Abstract. We investigate the impact of model trace gas transport schemes on the representation of transport processes in the upper troposphere and lower stratosphere. Towards this end, the Chemical Lagrangian Model of the Stratosphere (CLaMS) was coupled to the ECHAM/MESSy Atmospheric Chemistry (EMAC) model and results from the two transport schemes (Lagrangian critical Lyapunov scheme and flux-form semi-Lagrangian, respectively) were compared. Advection in CLaMS was driven by the EMAC simulation winds, and thereby the only differences in transport between the two sets of results were caused b
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30

Strahan, S. E., and B. C. Polansky. "Meteorological implementation issues in chemistry and transport models." Atmospheric Chemistry and Physics 6, no. 10 (2006): 2895–910. http://dx.doi.org/10.5194/acp-6-2895-2006.

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Abstract. Offline chemistry and transport models (CTMs) are versatile tools for studying composition and climate issues requiring multi-decadal simulations. They are computationally fast compared to coupled chemistry climate models, making them well-suited for integrating sensitivity experiments necessary for understanding model performance and interpreting results. The archived meteorological fields used by CTMs can be implemented with lower horizontal or vertical resolution than the original meteorological fields in order to shorten integration time, but the effects of these shortcuts on tra
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31

Mailler, Sylvain, Laurent Menut, Dmitry Khvorostyanov, et al. "CHIMERE-2017: from urban to hemispheric chemistry-transport modeling." Geoscientific Model Development 10, no. 6 (2017): 2397–423. http://dx.doi.org/10.5194/gmd-10-2397-2017.

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Abstract. CHIMERE is a chemistry-transport model designed for regional atmospheric composition. It can be used at a variety of scales from local to continental domains. However, due to the model design and its historical use as a regional model, major limitations had remained, hampering its use at hemispheric scale, due to the coordinate system used for transport as well as to missing processes that are important in regions outside Europe. Most of these limitations have been removed in the CHIMERE-2017 version, allowing its use in any region of the world and at any scale, from the scale of a s
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32

Yudin, Valery A., Sergey P. Smyshlyaev, Marvin A. Geller, and Victor L. Dvortsov. "Transport Diagnostics of GCMs and Implications for 2D Chemistry-Transport Model of Troposphere and Stratosphere." Journal of the Atmospheric Sciences 57, no. 5 (2000): 673–99. http://dx.doi.org/10.1175/1520-0469(2000)057<0673:tdogai>2.0.co;2.

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Douglass, Anne R., Mark R. Schoeberl, Richard B. Rood, and Steven Pawson. "Evaluation of transport in the lower tropical stratosphere in a global chemistry and transport model." Journal of Geophysical Research: Atmospheres 108, no. D9 (2003): n/a. http://dx.doi.org/10.1029/2002jd002696.

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Grellier, L., V. Marécal, B. Josse, et al. "Towards a representation of halogen chemistry within volcanic plumes in a chemistry transport model." Geoscientific Model Development Discussions 7, no. 2 (2014): 2581–650. http://dx.doi.org/10.5194/gmdd-7-2581-2014.

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Abstract. Volcanoes are a known source of halogens to the atmosphere. HBr volcanic emissions lead rapidly to the formation of BrO within volcanic plumes as shown by recent work based on observations and models. BrO, having a longer residence time in the atmosphere than HBr, is expected to have a significant impact on tropospheric chemistry, at least at the local and regional scales. The objective of this paper is to prepare a framework that will allow 3-D modelling of volcanic halogen emissions in order to determine their fate within the volcanic plume and then in the atmosphere at the regiona
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35

Barth, M. C., S. W. Kim, C. Wang, et al. "Cloud-scale model intercomparison of chemical constituent transport in deep convection." Atmospheric Chemistry and Physics Discussions 7, no. 3 (2007): 8035–85. http://dx.doi.org/10.5194/acpd-7-8035-2007.

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Abstract. Transport and scavenging of chemical constituents in deep convection is important to understanding the composition of the troposphere and therefore chemistry-climate and air quality issues. High resolution cloud chemistry models have been shown to represent convective processing of trace gases quite well. To improve the representation of sub-grid convective transport and wet deposition in large-scale models, general characteristics, such as species mass flux, from the high resolution cloud chemistry models can be used. However, it is important to understand how these models behave wh
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36

Barth, M. C., S. W. Kim, C. Wang, et al. "Cloud-scale model intercomparison of chemical constituent transport in deep convection." Atmospheric Chemistry and Physics 7, no. 18 (2007): 4709–31. http://dx.doi.org/10.5194/acp-7-4709-2007.

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Abstract. Transport and scavenging of chemical constituents in deep convection is important to understanding the composition of the troposphere and therefore chemistry-climate and air quality issues. High resolution cloud chemistry models have been shown to represent convective processing of trace gases quite well. To improve the representation of sub-grid convective transport and wet deposition in large-scale models, general characteristics, such as species mass flux, from the high resolution cloud chemistry models can be used. However, it is important to understand how these models behave wh
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37

Philip, Sajeev, Randall V. Martin, and Christoph A. Keller. "Sensitivity of chemistry-transport model simulations to the duration of chemical and transport operators: a case study with GEOS-Chem v10-01." Geoscientific Model Development 9, no. 5 (2016): 1683–95. http://dx.doi.org/10.5194/gmd-9-1683-2016.

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Abstract. Chemistry-transport models involve considerable computational expense. Fine temporal resolution offers accuracy at the expense of computation time. Assessment is needed of the sensitivity of simulation accuracy to the duration of chemical and transport operators. We conduct a series of simulations with the GEOS-Chem chemistry-transport model at different temporal and spatial resolutions to examine the sensitivity of simulated atmospheric composition to operator duration. Subsequently, we compare the species simulated with operator durations from 10 to 60 min as typically used by glob
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38

Stenke, A., M. Dameris, V. Grewe, and H. Garny. "Implications of Lagrangian transport for coupled chemistry-climate simulations." Atmospheric Chemistry and Physics Discussions 8, no. 5 (2008): 18727–64. http://dx.doi.org/10.5194/acpd-8-18727-2008.

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Abstract. For the first time a purely Lagrangian transport algorithm is applied in a fully coupled chemistry-climate model (CCM). We use the Lagrangian scheme ATTILA for the transport of water vapour, cloud water and chemical trace species in the ECHAM4.L39(DLR)/CHEM (E39C) CCM. The advantage of the Lagrangian approach is that it is numerically non-diffusive and therefore maintains steeper and more realistic gradients than the operational semi-Lagrangian transport scheme. In case of radiatively active species changes in the simulated distributions feed back to model dynamics which in turn affe
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39

Strahan, S. E., B. N. Duncan, and P. Hoor. "Observationally derived transport diagnostics for the lowermost stratosphere and their application to the GMI chemistry and transport model." Atmospheric Chemistry and Physics Discussions 7, no. 1 (2007): 1449–77. http://dx.doi.org/10.5194/acpd-7-1449-2007.

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Abstract. Transport from the surface to the lowermost stratosphere can occur on timescales of a few months or less, making it possible for short-lived tropospheric pollutants to influence stratospheric composition and chemistry. Models used to study this influence must demonstrate the credibility of their chemistry and transport in the upper troposphere and lower stratosphere (UT/LS). Data sets from satellite and aircraft instruments measuring CO, O3, N2O, and CO2 in the UT/LS are used to create a suite of diagnostics of the seasonally-varying transport into and within the lowermost stratosphe
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40

Cesari, Rita, Tony Christian Landi, Massimo D’Isidoro, et al. "The On-Line Integrated Mesoscale Chemistry Model BOLCHEM." Atmosphere 12, no. 2 (2021): 192. http://dx.doi.org/10.3390/atmos12020192.

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This work presents the on-line coupled meteorology–chemistry transport model BOLCHEM, based on the hydrostatic meteorological BOLAM model, the gas chemistry module SAPRC90, and the aerosol dynamic module AERO3. It includes parameterizations to describe natural source emissions, dry and wet removal processes, as well as the transport and dispersion of air pollutants. The equations for different processes are solved on the same grid during the same integration step, by means of a time-split scheme. This paper describes the model and its performance at horizontal resolution of 0.2∘× 0.2∘ over Eur
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41

Søvde, O. A., M. J. Prather, I. S. A. Isaksen, et al. "The chemical transport model Oslo CTM3." Geoscientific Model Development Discussions 5, no. 2 (2012): 1561–626. http://dx.doi.org/10.5194/gmdd-5-1561-2012.

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Abstract. We present here the global chemical transport model Oslo CTM3, an update of the Oslo CTM2. The update comprises a faster transport scheme, an improved wet scavenging scheme for large scale rain, updated photolysis rates and a new lightning parameterization. Oslo CTM3 is better parallelized and allows for stable, large time steps for advection, enabling more complex or high resolution simulations. Thorough comparisons between the Oslo CTM3, Oslo CTM2 and measurements are performed, and in general the Oslo CTM3 is found to reproduce measurements well. Inclusion of tropospheric sulfur c
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42

Makino, Kimiko, Hiroyuki Ohshima, and Tamotsu Kondo. "Kinetic model for membrane transport." Biophysical Chemistry 35, no. 1 (1990): 85–95. http://dx.doi.org/10.1016/0301-4622(90)80063-d.

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Makino, Kimiko, Hiroyuki Ohshima, and Tamotsu Kondo. "Kinetic model for membrane transport." Biophysical Chemistry 38, no. 3 (1990): 231–39. http://dx.doi.org/10.1016/0301-4622(90)87005-6.

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Punge, H. J., and M. A. Giorgetta. "Net effect of the QBO in a chemistry climate model." Atmospheric Chemistry and Physics Discussions 8, no. 3 (2008): 12115–62. http://dx.doi.org/10.5194/acpd-8-12115-2008.

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Abstract. The quasi-biennial oscillation (QBO) of zonal wind is a prominent mode of variability in the tropical stratosphere. It affects not only the meridional circulation and temperature over a wide latitude range but also the transport and chemistry of trace gases such as ozone. Compared to a QBO less circulation, the long-term climatological means of these quantities are also different. These climatological net effects of the QBO can be studied in general circulation models that extend into the middle atmosphere and have a chemistry and transport component, so-called Chemistry Climate Mode
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45

Punge, H. J., and M. A. Giorgetta. "Net effect of the QBO in a chemistry climate model." Atmospheric Chemistry and Physics 8, no. 21 (2008): 6505–25. http://dx.doi.org/10.5194/acp-8-6505-2008.

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Abstract. The quasi-biennial oscillation (QBO) of zonal wind is a prominent mode of variability in the tropical stratosphere. It affects not only the meridional circulation and temperature over a wide latitude range but also the transport and chemistry of trace gases such as ozone. Compared to a QBO less circulation, the long-term climatological means of these quantities are also different. These climatological net effects of the QBO can be studied in general circulation models that extend into the middle atmosphere and have a chemistry and transport component, so-called Chemistry Climate Mode
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46

Strahan, S. E., B. N. Duncan, and P. Hoor. "Observationally derived transport diagnostics for the lowermost stratosphere and their application to the GMI chemistry and transport model." Atmospheric Chemistry and Physics 7, no. 9 (2007): 2435–45. http://dx.doi.org/10.5194/acp-7-2435-2007.

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Abstract. Transport from the surface to the lowermost stratosphere (LMS) can occur on timescales of a few months or less, making it possible for short-lived tropospheric pollutants to influence stratospheric composition and chemistry. Models used to study this influence must demonstrate the credibility of their chemistry and transport in the upper troposphere and lower stratosphere (UT/LS). Data sets from satellite and aircraft instruments measuring CO, O3, N2O, and CO2 in the UT/LS are used to create a suite of diagnostics for the seasonally-varying transport into and within the lowermost str
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47

Pirovano, G., A. Balzarini, B. Bessagnet, et al. "Investigating impacts of chemistry and transport model formulation on model performance at European scale." Atmospheric Environment 53 (June 2012): 93–109. http://dx.doi.org/10.1016/j.atmosenv.2011.12.052.

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48

Andersson, C., R. Bergström, C. Bennet, et al. "MATCH-SALSA – Multi-scale Atmospheric Transport and CHemistry model coupled to the SALSA aerosol microphysics model – Part 1: Model description and evaluation." Geoscientific Model Development 8, no. 2 (2015): 171–89. http://dx.doi.org/10.5194/gmd-8-171-2015.

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Abstract. We have implemented the sectional aerosol dynamics model SALSA (Sectional Aerosol module for Large Scale Applications) in the European-scale chemistry-transport model MATCH (Multi-scale Atmospheric Transport and Chemistry). The new model is called MATCH-SALSA. It includes aerosol microphysics, with several formulations for nucleation, wet scavenging and condensation. The model reproduces observed higher particle number concentration (PNC) in central Europe and lower concentrations in remote regions. The modeled PNC size distribution peak occurs at the same or smaller particle size as
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Andersson, C., R. Bergström, C. Bennet, et al. "MATCH–SALSA – Multi-scale Atmospheric Transport and CHemistry model coupled to the SALSA aerosol microphysics model – Part 1: Model description and evaluation." Geoscientific Model Development Discussions 7, no. 3 (2014): 3265–305. http://dx.doi.org/10.5194/gmdd-7-3265-2014.

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Abstract. We have implemented the sectional aerosol dynamics model SALSA in the European scale chemistry-transport model MATCH (Multi-scale Atmospheric Transport and Chemistry). The new model is called MATCH–SALSA. It includes aerosol microphysics, with several formulations for nucleation, wet scavenging and condensation. The model reproduces observed higher particle number concentration (PNC) in central Europe and lower concentrations in remote regions. The model PNC size distribution peak occurs at the same or smaller particle size as the observed peak at five measurement sites spread across
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50

Søvde, O. A., M. J. Prather, I. S. A. Isaksen, et al. "The chemical transport model Oslo CTM3." Geoscientific Model Development 5, no. 6 (2012): 1441–69. http://dx.doi.org/10.5194/gmd-5-1441-2012.

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Abstract. We present here the global chemical transport model Oslo CTM3, an update of the Oslo CTM2. The update comprises a faster transport scheme, an improved wet scavenging scheme for large scale rain, updated photolysis rates and a new lightning parameterization. Oslo CTM3 is better parallelized and allows for stable, large time steps for advection, enabling more complex or high spatial resolution simulations. A new treatment of the horizontal distribution of lightning is presented and found to compare well with measurements. The vertical distribution of lightning is updated and found to b
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