Evaluation of cloud convection and tracer transport in a three-dimensional chemical transport model

Feng, Wuhu; Chipperfield, Martyn P.; Dhomse, Sandip; Monge-Sanz, Beatriz; Yang, Xin; Zhang, Kai; Ramonet, Michel

doi:10.5194/acp-11-5783-2011

Cited by 35 publications

(66 citation statements)

References 55 publications

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“…The resolved vertical motion is calculated online from the vorticity. The model has parameterizations for sub-grid-scale tracer transport by convection (Stockwell and Chipperfield, 1999;Feng et al, 2011) and boundary layer mixing (Holtslag and Boville, 1993). Tracer advection is performed using the conservation of second order moments scheme by Prather (1986).…”

Section: A15 Tomcatmentioning

confidence: 99%

Review of the global models used within phase 1 of the Chemistry–Climate Model Initiative (CCMI)

et al. 2017

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Abstract. We present an overview of state-of-the-art chemistry-climate and chemistry transport models that are used within phase 1 of the Chemistry-Climate Model Initiative (CCMI-1). The CCMI aims to conduct a detailed evaluation of participating models using process-oriented diagnostics derived from observations in order to gain confidence in the models' projections of the stratospheric ozone layer, tropospheric composition, air quality, where applicable global climate change, and the interactions between them. Interpretation of these diagnostics requires detailed knowledge of the radiative, chemical, dynamical, and physical processes incorporated in the models. Also an understanding of the degree to which CCMI-1 recommendations for simulations have been followed is necessary to understand model responses to anthropogenic and natural forcing and also to explain intermodel differences. This becomes even more important given the ongoing development and the ever-growing complexity of these models. This paper also provides an overview of the available CCMI-1 simulations with the aim of informing CCMI data users.

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Section: A15 Tomcatmentioning

confidence: 99%

Review of the global models used within phase 1 of the Chemistry–Climate Model Initiative (CCMI)

et al. 2017

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“…Although GEOS-Chem reproduces the bulk 3 h convective transport in the GEOS-5 GCM, the precise timing and interactions between RAS convective plumes are not resolved since that information is not in the archive. Bulk convective transport using archived mass fluxes is a standard procedure in other CTMs driven by GEOS-5 meteorology, such as the GMI CTM, and CTMs driven by other meteorology, such as TOMCAT (Feng et al, 2011, driven by ECMWF reanalysis data).…”

Section: Geos-chem Ctmmentioning

confidence: 99%

Errors and improvements in the use of archived meteorological data for chemical transport modeling: an analysis using GEOS-Chem v11-01 driven by GEOS-5 meteorology

Keller

Jacob

et al. 2018

Geosci. Model Dev.

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Abstract. Global simulations of atmospheric chemistry are commonly conducted with off-line chemical transport models (CTMs) driven by archived meteorological data from general circulation models (GCMs). The off-line approach has the advantages of simplicity and expediency, but it incurs errors due to temporal averaging in the meteorological archive and the inability to reproduce the GCM transport algorithms exactly. The CTM simulation is also often conducted at coarser grid resolution than the parent GCM. Here we investigate this cascade of CTM errors by using 222 Pb and 7 Be against aerosol deposition are affected by 5-10 %. The lost vertical transport in the coarse-resolution GEOS-Chem simulation can be partly restored by recomputing the convective mass fluxes at the appropriate resolution to replace the archived convective mass fluxes and by correcting for bias in the spatial averaging of boundary layer mixing depths.

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“…The resolved vertical motion is calculated online from the vorticity. The model has different options for the parameterisations of sub-grid-scale tracer transport by convection (Stockwell and Chipperfield, 1999;Feng et al, 2011) and boundary layer mixing (Louis, 1979;Holtslag and Boville, 1993). Tracer advection is performed using the conservation of second-order moments scheme of Prather et al (1987).…”

Section: Tomcatmentioning

confidence: 99%

“…Previous work with the model has shown that these schemes tend to underestimate the mixing out of the boundary layer and convective transport to the upper troposphere (e.g. Feng et al, 2011) but these were the options available for the multi-decadal runs analysed here. campaigns (Wofsy, 2011), similar to comparisons presented in Patra et al (2014).…”

Section: Tomcatmentioning

confidence: 99%

Age of Air as a diagnostic for transport time-scales in global models

Krol¹,

Bruine²,

Killaars³

et al. 2017

Preprint

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Abstract. This paper presents the first results of an age of air (AoA) inter-comparison of six global transport models. Following a protocol, three global circulation models and three chemistry transport models simulated five tracers with boundary conditions that grow linearly in time. This allows for an evaluation of the AoA and transport times associated with inter-hemispheric transport, vertical mixing in the troposphere, transport to and in the stratosphere, and transport of air masses between land and ocean. Since AoA is not a directly measurable quantity in the atmosphere, simulations of 222 Rn and SF 6 were also requested. 5We focus this first analysis on averages over the period 2000-2010, taken from longer simulations covering the 1988 -2014 period. We find that two models, NIES and TOMCAT, show substantially slower vertical mixing in the troposphere compared to other models (LMDZ, TM5, EMAC, and ACTM). However, while the TOMCAT model, as used here, has slow transport between the hemispheres and between land and ocean, the NIES model shows efficient horizontal mixing and a smaller latitudinal gradient in SF 6 compared to the other models and observations. We find consistent differences between models concerning 10 vertical mixing of the troposphere, expressed as AoA differences and modeled 222Rn gradients between 950 and 500 hPa.All models agree, however, on an interesting asymmetry in inter-hemispheric mixing, with faster transport from the Northern hemisphere surface to the Southern hemisphere than vice versa. This is attributed to a rectifier caused by a stronger seasonal cycle in boundary layer venting over Northern hemispheric landmasses, and possibly to a related asymmetric position of the inter-tropical convergence zone. The calculated AoA in the upper stratosphere varies considerably among the models (4 -7 15 years). Finally, we find that the inter-model differences are generally larger than differences in AoA that result from using the same model with a different resolution or convective parameterisation. Taken together, the AoA model inter-comparison provides a useful addition to traditional approaches to evaluate transport time scales. Results highlight that inter-model differences 1 Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2017-262 Manuscript under review for journal Geosci. Model Dev. Discussion started: 7 November 2017 c Author(s) 2017. CC BY 4.0 License. associated with resolved transport (advection) and parameterised transport (convection, boundary layer mixing) are still large, and require further analysis. For this purpose, all model output and analysis software is available.

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Evaluation of cloud convection and tracer transport in a three-dimensional chemical transport model

Cited by 35 publications

References 55 publications

Review of the global models used within phase 1 of the Chemistry–Climate Model Initiative (CCMI)

Review of the global models used within phase 1 of the Chemistry–Climate Model Initiative (CCMI)

Errors and improvements in the use of archived meteorological data for chemical transport modeling: an analysis using GEOS-Chem v11-01 driven by GEOS-5 meteorology

Age of Air as a diagnostic for transport time-scales in global models

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