50 citations as recorded by crossref.

1. Regional Impact of Snow‐Darkening on Snow Pack and the Atmosphere During a Severe Saharan Dust Deposition Event in Eurasia A. Rohde et al. https://doi.org/10.1029/2022JF007016
2. Implementation of solar UV and energetic particle precipitation within the LINOZ scheme in ICON-ART M. Ramezani Ziarani et al. https://doi.org/10.5194/gmd-18-7891-2025
3. From climatological to small-scale applications: simulating water isotopologues with ICON-ART-Iso (version 2.3) J. Eckstein et al. https://doi.org/10.5194/gmd-11-5113-2018
4. Does prognostic seeding along flight tracks produce the desired effects of cirrus cloud thinning? C. Tully et al. https://doi.org/10.5194/acp-23-7673-2023
5. From initiation of convective storms to their impact — the Swabian MOSES 2023 campaign in southwestern Germany J. Handwerker et al. https://doi.org/10.3389/feart.2025.1555755
6. The atmospheric composition component of the ICON modeling framework: ICON-ART version 2025.10 G. Hoshyaripour et al. https://doi.org/10.5194/gmd-19-1645-2026
7. ICON-ART 2.1: a flexible tracer framework and its application for composition studies in numerical weather forecasting and climate simulations J. Schröter et al. https://doi.org/10.5194/gmd-11-4043-2018
8. Turbulence-permitting air pollution simulation for the Stuttgart metropolitan area T. Schwitalla et al. https://doi.org/10.5194/acp-21-4575-2021
9. Challenge of modelling GLORIA observations of upper troposphere–lowermost stratosphere trace gas and cloud distributions at high latitudes: a case study with state-of-the-art models F. Haenel et al. https://doi.org/10.5194/acp-22-2843-2022
10. Neural representation of the stratospheric ozone chemistry H. Mohn et al. https://doi.org/10.1017/eds.2023.35
11. Are atmospheric updrafts a key to unlocking climate forcing and sensitivity? L. Donner et al. https://doi.org/10.5194/acp-16-12983-2016
12. The ICON Earth System Model Version 1.0 J. Jungclaus et al. https://doi.org/10.1029/2021MS002813
13. Improving scalability of Earth system models through coarse-grained component concurrency – a case study with the ICON v2.6.5 modelling system L. Linardakis et al. https://doi.org/10.5194/gmd-15-9157-2022
14. Estimation of CO2 fluxes in the cities of Zurich and Paris using the ICON-ART CTDAS inverse modelling framework N. Ponomarev et al. https://doi.org/10.5194/acp-26-547-2026
15. German methane fluxes estimated top-down using ICON–ART – Part 1: Ensemble-enhanced scaling inversion V. Bruch et al. https://doi.org/10.5194/acp-25-17159-2025
16. Multi-Channel Spectral Band Adjustment Factors for Thermal Infrared Measurements of Geostationary Passive Imagers D. Piontek et al. https://doi.org/10.3390/rs15051247
17. Impacts of fire-induced heat, moisture, and aerosol-radiation interactions on wildfire plume rise during the 2019/2020 Australian fires L. Muth et al. https://doi.org/10.5194/acp-26-8505-2026
18. Operational numerical weather prediction with ICON on GPUs (version 2024.10) X. Lapillonne et al. https://doi.org/10.5194/gmd-19-755-2026
19. MieAI: a neural network for calculating optical properties of internally mixed aerosol in atmospheric models P. Kumar et al. https://doi.org/10.1038/s41612-024-00652-y
20. Online treatment of eruption dynamics improves the volcanic ash and SO2 dispersion forecast: case of the 2019 Raikoke eruption J. Bruckert et al. https://doi.org/10.5194/acp-22-3535-2022
21. Aerosol dynamic processes in the Hunga plume in January 2022: does water vapor accelerate aerosol aging? J. Bruckert et al. https://doi.org/10.5194/acp-25-9859-2025
22. When Do Subpollen Particles Become Relevant for Ice Nucleation Processes in Clouds? S. Werchner et al. https://doi.org/10.1029/2021JD036340
23. Aerosol–cloud–radiation interaction during Saharan dust episodes: the dusty cirrus puzzle A. Seifert et al. https://doi.org/10.5194/acp-23-6409-2023
24. Influence of fire-induced heat and moisture release on pyro-convective cloud dynamics during the Australian New Year’s Event: a study using convection-resolving simulations and satellite data L. Muth et al. https://doi.org/10.5194/acp-25-16027-2025
25. Revealing the meteorological drivers of the September 2015 severe dust event in the Eastern Mediterranean P. Gasch et al. https://doi.org/10.5194/acp-17-13573-2017
26. Use of CAMS near Real-Time Aerosols in the HARMONIE-AROME NWP Model D. Martín Pérez et al. https://doi.org/10.3390/meteorology3020008
27. Impact of the 4 April 2014 Saharan dust outbreak on the photovoltaic power generation in Germany D. Rieger et al. https://doi.org/10.5194/acp-17-13391-2017
28. Importance of aerosols and shape of the cloud droplet size distribution for convective clouds and precipitation C. Barthlott et al. https://doi.org/10.5194/acp-22-2153-2022
29. Mountain-wave-induced polar stratospheric clouds and their representation in the global chemistry model ICON-ART M. Weimer et al. https://doi.org/10.5194/acp-21-9515-2021
30. Impact of Saharan dust outbreaks on short‐range weather forecast errors in Europe K. Hermes et al. https://doi.org/10.1002/qj.4666
31. Particle aging and aerosol–radiation interaction affect volcanic plume dispersion: evidence from the Raikoke 2019 eruption L. Muser et al. https://doi.org/10.5194/acp-20-15015-2020
32. A Process Study on Thinning of Arctic Winter Cirrus Clouds With High‐Resolution ICON‐ART Simulations S. Gruber et al. https://doi.org/10.1029/2018JD029815
33. Variations of PM2.5 sources in the context of meteorology and seasonality at an urban street canyon in Southwest Germany J. Song et al. https://doi.org/10.1016/j.atmosenv.2022.119147
34. An emission module for ICON-ART 2.0: implementation and simulations of acetone M. Weimer et al. https://doi.org/10.5194/gmd-10-2471-2017
35. New insights into the vertical structure of the September 2015 dust storm employing eight ceilometers and auxiliary measurements over Israel L. Uzan et al. https://doi.org/10.5194/acp-18-3203-2018
36. Dispersion and Aging of Volcanic Aerosols After the La Soufrière Eruption in April 2021 J. Bruckert et al. https://doi.org/10.1029/2022JD037694
37. Visualising geospatial time series datasets in realtime with the Digital Earth Viewer V. Buck et al. https://doi.org/10.1016/j.cag.2022.01.010
38. Improving the ensemble square root filter (EnSRF) in the Community Inversion Framework: a case study with ICON-ART 2024.01 J. Thanwerdas et al. https://doi.org/10.5194/gmd-18-1505-2025
39. Tailoring Climate Parameters to Information Needs for Local Adaptation to Climate Change J. Hackenbruch et al. https://doi.org/10.3390/cli5020025
40. Effects of Particle Nonsphericity on Dust Optical Properties in a Forecast System: Implications for Model‐Observation Comparison G. Hoshyaripour et al. https://doi.org/10.1029/2018JD030228
41. Automated time–height-resolved air mass source attribution for profiling remote sensing applications M. Radenz et al. https://doi.org/10.5194/acp-21-3015-2021
42. Swabian MOSES 2021: An interdisciplinary field campaign for investigating convective storms and their event chains M. Kunz et al. https://doi.org/10.3389/feart.2022.999593
43. An inter-comparison of inverse models for estimating European CH4 emissions E. Ioannidis et al. https://doi.org/10.5194/essd-18-167-2026
44. Flow-dependent observation errors for greenhouse gas inversions in an ensemble Kalman smoother M. Steiner et al. https://doi.org/10.5194/acp-24-12447-2024
45. German methane fluxes estimated top-down using ICON–ART – Part 2: Inversion results for 2021 V. Bruch et al. https://doi.org/10.5194/acp-25-17187-2025
46. Measurements and Modeling of Optical-Equivalent Snow Grain Sizes under Arctic Low-Sun Conditions E. Jäkel et al. https://doi.org/10.3390/rs13234904
47. European CH4 inversions with ICON-ART coupled to the CarbonTracker Data Assimilation Shell M. Steiner et al. https://doi.org/10.5194/acp-24-2759-2024
48. An urban large-eddy-simulation-based dispersion model for marginal grid resolutions: CAIRDIO v1.0 M. Weger et al. https://doi.org/10.5194/gmd-14-1469-2021
49. Preliminary Assessment of ICON-LAM Performance in Romania: Sensitivity Studies A. Iriza-Burcă et al. https://doi.org/10.3390/atmos17030315
50. How the Hunga Tonga—Hunga Ha'apai Water Vapor Cloud Impacts Its Transport Through the Stratosphere: Dynamical and Radiative Effects U. Niemeier et al. https://doi.org/10.1029/2023GL106482