44 citations as recorded by crossref.

1. Modelling the impact of fungal spore ice nuclei on clouds and precipitation A. Sesartic et al. https://doi.org/10.1088/1748-9326/8/1/014029
2. Performance of a local ensemble transform Kalman filter for the analysis of atmospheric circulation and distribution of long‐lived tracers under idealized conditions K. Miyazaki https://doi.org/10.1029/2009JD011892
3. Influence of future air pollution mitigation strategies on total aerosol radiative forcing S. Kloster et al. https://doi.org/10.5194/acp-8-6405-2008
4. Influence of Tropical Tropopause Layer Cooling on Atlantic Hurricane Activity K. Emanuel et al. https://doi.org/10.1175/JCLI-D-12-00242.1
5. Simulation of the climate impact of Mt. Pinatubo eruption using ECHAM5 – Part 1: Sensitivity to the modes of atmospheric circulation and boundary conditions M. Thomas et al. https://doi.org/10.5194/acp-9-757-2009
6. The SOCOL version 3.0 chemistry–climate model: description, evaluation, and implications from an advanced transport algorithm A. Stenke et al. https://doi.org/10.5194/gmd-6-1407-2013
7. Impact of dust particle non‐sphericity on climate simulations P. Räisänen et al. https://doi.org/10.1002/qj.2084
8. Host model uncertainties in aerosol radiative forcing estimates: results from the AeroCom Prescribed intercomparison study P. Stier et al. https://doi.org/10.5194/acp-13-3245-2013
9. Impact of a Stochastic Nonorographic Gravity Wave Parameterization on the Stratospheric Dynamics of a General Circulation Model F. Serva et al. https://doi.org/10.1029/2018MS001297
10. Review of the global models used within phase 1 of the Chemistry–Climate Model Initiative (CCMI) O. Morgenstern et al. https://doi.org/10.5194/gmd-10-639-2017
11. European blocking and Atlantic jet stream variability in the NCEP/NCAR reanalysis and the CMCC-CMS climate model P. Davini et al. https://doi.org/10.1007/s00382-013-1873-y
12. Diagnostics of the Tropical Tropopause Layer from in-situ observations and CCM data E. Palazzi et al. https://doi.org/10.5194/acp-9-9349-2009
13. Impacts of Mt Pinatubo volcanic aerosol on the tropical stratosphere in chemistry–climate model simulations using CCMI and CMIP6 stratospheric aerosol data L. Revell et al. https://doi.org/10.5194/acp-17-13139-2017
14. A critical evaluation of decadal solar cycle imprints in the MiKlip historical ensemble simulations T. Spiegl et al. https://doi.org/10.5194/wcd-4-789-2023
15. The Atmospheric Chemistry and Climate Model Intercomparison Project (ACCMIP): overview and description of models, simulations and climate diagnostics J. Lamarque et al. https://doi.org/10.5194/gmd-6-179-2013
16. The global aerosol-climate model ECHAM-HAM, version 2: sensitivity to improvements in process representations K. Zhang et al. https://doi.org/10.5194/acp-12-8911-2012
17. Role of stratospheric dynamics in the ozone–carbon connection in the Southern Hemisphere C. Cagnazzo et al. https://doi.org/10.1007/s00382-013-1745-5
18. Stratosphere-resolving CMIP5 models simulate different changes in the Southern Hemisphere G. Rea et al. https://doi.org/10.1007/s00382-017-3746-2
19. Cloud microphysics and aerosol indirect effects in the global climate model ECHAM5-HAM U. Lohmann et al. https://doi.org/10.5194/acp-7-3425-2007
20. Indian monsoon and the elevated‐heat‐pump mechanism in a coupled aerosol‐climate model M. D'Errico et al. https://doi.org/10.1002/2015JD023346
21. Mechanisms Involved in the Amplification of the 11-yr Solar Cycle Signal in the Tropical Pacific Ocean S. Misios & H. Schmidt https://doi.org/10.1175/JCLI-D-11-00261.1
22. The role of aerosol in altering North Atlantic atmospheric circulation in winter and its impact on air quality F. Pausata et al. https://doi.org/10.5194/acp-15-1725-2015
23. Evaluation of the ECHAM family radiation codes performance in the representation of the solar signal T. Sukhodolov et al. https://doi.org/10.5194/gmd-7-2859-2014
24. Climate response to the Toba super-eruption: Regional changes C. Timmreck et al. https://doi.org/10.1016/j.quaint.2011.10.008
25. Intercomparison of shortwave radiative transfer schemes in global aerosol modeling: results from the AeroCom Radiative Transfer Experiment C. Randles et al. https://doi.org/10.5194/acp-13-2347-2013
26. Response of the middle atmosphere to anthropogenic and natural forcings in the CMIP5 simulations with the Max Planck Institute Earth system model H. Schmidt et al. https://doi.org/10.1002/jame.20014
27. Bacteria in the ECHAM5-HAM global climate model A. Sesartic et al. https://doi.org/10.5194/acp-12-8645-2012
28. Large methane releases lead to strong aerosol forcing and reduced cloudiness T. Kurtén et al. https://doi.org/10.5194/acp-11-6961-2011
29. Thermospheric nitric oxide is modulated by the ratio of atomic to molecular oxygen and thermospheric dynamics during solar minimum M. Sinnhuber et al. https://doi.org/10.5194/acp-25-14719-2025
30. Analysis of present day and future OH and methane lifetime in the ACCMIP simulations A. Voulgarakis et al. https://doi.org/10.5194/acp-13-2563-2013
31. Evaluating and understanding top of the atmosphere cloud radiative effects in Intergovernmental Panel on Climate Change (IPCC) Fifth Assessment Report (AR5) Coupled Model Intercomparison Project Phase 5 (CMIP5) models using satellite observations H. Wang & W. Su https://doi.org/10.1029/2012JD018619
32. Re-analysis of tropospheric sulfate aerosol and ozone for the period 1980–2005 using the aerosol-chemistry-climate model ECHAM5-HAMMOZ L. Pozzoli et al. https://doi.org/10.5194/acp-11-9563-2011
33. Short-wave and long-wave surface radiation budgets in GCMs: a review based on the IPCC-AR4/CMIP3 models M. Wild https://doi.org/10.1111/j.1600-0870.2008.00342.x
34. The near future availability of photovoltaic energy in Europe and Africa in climate-aerosol modeling experiments M. Gaetani et al. https://doi.org/10.1016/j.rser.2014.07.041
35. The coupled atmosphere–chemistry–ocean model SOCOL-MPIOM S. Muthers et al. https://doi.org/10.5194/gmd-7-2157-2014
36. Stratospheric aerosol evolution after Pinatubo simulated with a coupled size-resolved aerosol–chemistry–climate model, SOCOL-AERv1.0 T. Sukhodolov et al. https://doi.org/10.5194/gmd-11-2633-2018
37. Strategies for reducing the climate noise in model simulations: ensemble runs versus a long continuous run D. Decremer et al. https://doi.org/10.1007/s00382-014-2161-1
38. Evaluating cloud radiative effect from CMIP6 and two satellite datasets over the Tibetan Plateau based on CERES observation Y. Zhao et al. https://doi.org/10.1007/s00382-021-05991-7
39. Uncertainty associated with convective wet removal of entrained aerosols in a global climate model B. Croft et al. https://doi.org/10.5194/acp-12-10725-2012
40. Evaluation of radiation scheme performance within chemistry climate models P. Forster et al. https://doi.org/10.1029/2010JD015361
41. Monte Carlo-based subgrid parameterization of vertical velocity and stratiform cloud microphysics in ECHAM5.5-HAM2 J. Tonttila et al. https://doi.org/10.5194/acp-13-7551-2013
42. Aerosol size-dependent below-cloud scavenging by rain and snow in the ECHAM5-HAM B. Croft et al. https://doi.org/10.5194/acp-9-4653-2009
43. Global atmospheric sulfur budget under volcanically quiescent conditions: Aerosol‐chemistry‐climate model predictions and validation J. Sheng et al. https://doi.org/10.1002/2014JD021985
44. Influences of in-cloud aerosol scavenging parameterizations on aerosol concentrations and wet deposition in ECHAM5-HAM B. Croft et al. https://doi.org/10.5194/acp-10-1511-2010