The data contains the code of TransClim: written in Python 2.

The data contains the emission variation simulations which build the lookup-tables for TransClim. Eleven emission regions are defined: Germany, Western Europe, Northern Europe, Eastern Europe, Southern Europe, China, India, Southeast Asia, Japan/South Korea, North America and South America. In each of these emission regions, the road traffic emissions of nitrogen oxide (NOx), volatile organic compounds (VOC) and carbon monooxide (CO) are varied and the resulting climate response is calculated with the global chemistry climate model EMAC.

Simulation with most recent version of MADE3 into the atmospheric chemistry general circulation model EMAC, including a detailed evaluation of a ten-year aerosol simulation with MADE3 as part of EMAC. Model details and setup specification are described in Kaiser et al. (Geosci. Model Dev., 2018). We compare simulation output to station network measurements of near-surface aerosol component mass concentrations, to airborne measurements of aerosol mass mixing ratio and number concentration vertical profiles, to ground-based and airborne measurements of particle size distributions, and to station network and satellite measurements of aerosol optical depth. Furthermore, we describe and apply a new evaluation method, which allows a comparison of model output to size-resolved electron microscopy measurements of particle composition. Although there are indications that fine mode particle deposition may be underestimated by the model, we obtained satisfactory agreement with the observations. Remaining deviations are of similar size as those identified in other global aerosol model studies. Thus, MADE3 can be considered ready for application within EMAC. Due to its detailed representation of aerosol mixing state, it is especially useful for simulating wet and dry removal of aerosol particles, aerosol-induced formation of cloud droplets and ice crystals as well as aerosol-radiation interactions. Besides studies on these fundamental processes, we also plan to use MADE3 for a reassessment of the climate effects of anthropogenic aerosol perturbations. Please cite Kaiser et al. (Geosci. Model Dev., 2018) if using the data.

Simulation with most recent version of MADE3 into the atmospheric chemistry general circulation model EMAC, including a detailed evaluation of a ten-year aerosol simulation with MADE3 as part of EMAC. Model details and setup specification are described in Kaiser et al. (Geosci. Model Dev., 2018). We compare simulation output to station network measurements of near-surface aerosol component mass concentrations, to airborne measurements of aerosol mass mixing ratio and number concentration vertical profiles, to ground-based and airborne measurements of particle size distributions, and to station network and satellite measurements of aerosol optical depth. Furthermore, we describe and apply a new evaluation method, which allows a comparison of model output to size-resolved electron microscopy measurements of particle composition. Although there are indications that fine mode particle deposition may be underestimated by the model, we obtained satisfactory agreement with the observations. Remaining deviations are of similar size as those identified in other global aerosol model studies. Thus, MADE3 can be considered ready for application within EMAC. Due to its detailed representation of aerosol mixing state, it is especially useful for simulating wet and dry removal of aerosol particles, aerosol-induced formation of cloud droplets and ice crystals as well as aerosol-radiation interactions. Besides studies on these fundamental processes, we also plan to use MADE3 for a reassessment of the climate effects of anthropogenic aerosol perturbations. Please cite Kaiser et al. (Geosci. Model Dev., 2018) if using the data.

This experiment comprises 5 different simulations: - hind-cast simulations with specified dynamics from 1979 to 2013 - ERA-Interim SSTs/SICs RC1SD-base-07 T42L90MA “wave zero” (i.e. the global mean) temperature included for the Newtonian relaxation RC1SD-base-08 T42L47MA global mean temperature (wave 0) included for the Newtonian relaxation RC1SD-base-09 T42L47MA global mean temperature (wave 0) not included for the Newtonian relaxation RC1SD-base-10 T42L90MA global mean temperature (wave 0) not included for the Newtonian relaxation RC1SD-base-10a (years 2000-2014) T42L90MA global mean temperature (wave 0) not included for the Newtonian relaxation with corrected road traffic emissions and stratospheric aerosol optical properties For further studies based on simulations of the ESCiMo project and on the EMAC model please also refer to: https://www.atmos-chem-phys.net/special_issue812.html https://gmd.copernicus.org/articles/special_issue10_22.html https://www.atmos-chem-phys.net/special_issue22.html http://www.pa.op.dlr.de/~PatrickJoeckel/ESCiMo/publications/escimo_publications.html MESSy version 2.50.5 http://www.messy-interface.org

This experiment comprises 4 different simulations: - hind-cast simulations, free-running - SSTs/SICs: global data set HadISST provided by the UK Met Office Hadley Centre - model data output mostly as 10-hourly global snapshots, monthly averages or as monthly accumulated variables, on model levels or pressure levels, respectively RC1-base-07: T42L90MA 1960–2011 RC1-base-07a: same as RC1-base-07, with corrected optical properties of stratospheric aerosol 1990-2010 RC1-base-08: T42L47MA 1960-2011 RC1-base-08a: same as RC1-base-08, with corrected optical properties of stratospheric aerosol 1990-2010 For further studies based on simulations of the ESCiMo project and on the EMAC model please also refer to: https://www.atmos-chem-phys.net/special_issue812.html https://gmd.copernicus.org/articles/special_issue10_22.html https://www.atmos-chem-phys.net/special_issue22.html http://www.pa.op.dlr.de/~PatrickJoeckel/ESCiMo/publications/escimo_publications.html

This experiment comprises 3 different simulations: - future simulations scenario RCP6.0 - model data output mostly as 10-hourly global snapshots, monthly averages or as monthly accumulated variables, on model levels or pressure levels, respectively RC2-base-04: SSTs/SICs: taken from coupled HADGEM2-ES simulation T42L90MA 1960-2099 RC2-base-05: same as RC2-base-04 but with resolution T42L47MA 1960-2099 RC2-oce-01: with interactive MPI ocean T42L47MA/GR30L40 1960-2100 For further studies based on simulations of the ESCiMo project and on the EMAC model please also refer to: https://www.atmos-chem-phys.net/special_issue812.html https://gmd.copernicus.org/articles/special_issue10_22.html https://www.atmos-chem-phys.net/special_issue22.html http://www.pa.op.dlr.de/~PatrickJoeckel/ESCiMo/publications/escimo_publications.html

The data contains the code of TransClim: written in Python 2.

The data contains the emission variation simulations which build the lookup-tables for TransClim. Eleven emission regions are defined: Germany, Western Europe, Northern Europe, Eastern Europe, Southern Europe, China, India, Southeast Asia, Japan/South Korea, North America and South America. In each of these emission regions, the road traffic emissions of nitrogen oxide (NOx), volatile organic compounds (VOC) and carbon monooxide (CO) are varied and the resulting climate response is calculated with the global chemistry climate model EMAC.

Simulation with most recent version of MADE3 into the atmospheric chemistry general circulation model EMAC, including a detailed evaluation of a ten-year aerosol simulation with MADE3 as part of EMAC. Model details and setup specification are described in Kaiser et al. (Geosci. Model Dev., 2018). We compare simulation output to station network measurements of near-surface aerosol component mass concentrations, to airborne measurements of aerosol mass mixing ratio and number concentration vertical profiles, to ground-based and airborne measurements of particle size distributions, and to station network and satellite measurements of aerosol optical depth. Furthermore, we describe and apply a new evaluation method, which allows a comparison of model output to size-resolved electron microscopy measurements of particle composition. Although there are indications that fine mode particle deposition may be underestimated by the model, we obtained satisfactory agreement with the observations. Remaining deviations are of similar size as those identified in other global aerosol model studies. Thus, MADE3 can be considered ready for application within EMAC. Due to its detailed representation of aerosol mixing state, it is especially useful for simulating wet and dry removal of aerosol particles, aerosol-induced formation of cloud droplets and ice crystals as well as aerosol-radiation interactions. Besides studies on these fundamental processes, we also plan to use MADE3 for a reassessment of the climate effects of anthropogenic aerosol perturbations. Please cite Kaiser et al. (Geosci. Model Dev., 2018) if using the data.