Articles | Volume 10, issue 1
https://doi.org/10.5194/gmd-10-169-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-10-169-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Model description paper
| 
13 Jan 2017
Model description paper |
| 13 Jan 2017
UCLALES–SALSA v1.0: a large-eddy model with interactive sectional microphysics for aerosol, clouds and precipitation
Karlsruhe Institute of Technology, Karlsruhe, Germany
Finnish Meteorological Institute, Atmospheric Research Centre of Eastern Finland, P.O. Box 1627, 70211 Kuopio, Finland
Zubair Maalick
Department of Applied Physics, University of Eastern Finland, P.O. Box 1627, 70211 Kuopio, Finland
Tomi Raatikainen
Finnish Meteorological Institute, P.O. Box 503, 00101 Helsinki, Finland
Harri Kokkola
Finnish Meteorological Institute, Atmospheric Research Centre of Eastern Finland, P.O. Box 1627, 70211 Kuopio, Finland
Thomas Kühn
Finnish Meteorological Institute, Atmospheric Research Centre of Eastern Finland, P.O. Box 1627, 70211 Kuopio, Finland
Department of Applied Physics, University of Eastern Finland, P.O. Box 1627, 70211 Kuopio, Finland
Sami Romakkaniemi
Finnish Meteorological Institute, Atmospheric Research Centre of Eastern Finland, P.O. Box 1627, 70211 Kuopio, Finland
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34 citations as recorded by crossref.
- Modelling mixed-phase clouds with the large-eddy model UCLALES–SALSA J. Ahola et al. 10.5194/acp-20-11639-2020
- Aerosol–fog interaction and the transition to well-mixed radiation fog I. Boutle et al. 10.5194/acp-18-7827-2018
- The effect of BC on aerosol–boundary layer feedback: potential implications for urban pollution episodes J. Slater et al. 10.5194/acp-22-2937-2022
- Comparing the simulated influence of biomass burning plumes on low-level clouds over the southeastern Atlantic under varying smoke conditions A. Baró Pérez et al. 10.5194/acp-24-4591-2024
- Implementation of the sectional aerosol module SALSA2.0 into the PALM model system 6.0: model development and first evaluation M. Kurppa et al. 10.5194/gmd-12-1403-2019
- The effect of marine ice-nucleating particles on mixed-phase clouds T. Raatikainen et al. 10.5194/acp-22-3763-2022
- A Review of the Representation of Aerosol Mixing State in Atmospheric Models R. Stevens & A. Dastoor 10.3390/atmos10040168
- Demistify: a large-eddy simulation (LES) and single-column model (SCM) intercomparison of radiation fog I. Boutle et al. 10.5194/acp-22-319-2022
- New Particle Formation in the Atmosphere: From Molecular Clusters to Global Climate S. Lee et al. 10.1029/2018JD029356
- Aerosol–stratocumulus interactions: towards a better process understanding using closures between observations and large eddy simulations S. Calderón et al. 10.5194/acp-22-12417-2022
- Characteristics of Desert Precipitation in the UAE Derived from a Ceilometer Dataset M. Airey et al. 10.3390/atmos12101245
- A model study investigating the sensitivity of aerosol forcing to the volatilities of semi-volatile organic compounds M. Irfan et al. 10.5194/acp-24-8489-2024
- Precipitation enhancement in stratocumulus clouds through airborne seeding: sensitivity analysis by UCLALES-SALSA J. Tonttila et al. 10.5194/acp-21-1035-2021
- Description and evaluation of the community aerosol dynamics model MAFOR v2.0 M. Karl et al. 10.5194/gmd-15-3969-2022
- Using a coupled LES aerosol–radiation model to investigate the importance of aerosol–boundary layer feedback in a Beijing haze episode J. Slater et al. 10.1039/D0FD00085J
- Towards seamless environmental prediction – development of Pan-Eurasian EXperiment (PEEX) modelling platform A. Mahura et al. 10.1080/20964471.2024.2325019
- Interaction between Hygroscopic Seeding and Mixed-Phase Microphysics in Convective Clouds J. Tonttila et al. 10.1175/JAMC-D-21-0183.1
- Technical note: Emulation of a large-eddy simulator for stratocumulus clouds in a general circulation model K. Nordling et al. 10.5194/acp-24-869-2024
- A model intercomparison of CCN-limited tenuous clouds in the high Arctic R. Stevens et al. 10.5194/acp-18-11041-2018
- Modeled aerosol-cloud indirect effects and processes based on an observed partially glaciated marine deep convective cloud case I. Kudzotsa et al. 10.1016/j.atmosenv.2019.02.010
- Importance of CCN activation for fog forecasting and its representation in the two‐moment microphysical scheme LIMA B. Vié et al. 10.1002/qj.4812
- In-cloud scavenging scheme for sectional aerosol modules – implementation in the framework of the Sectional Aerosol module for Large Scale Applications version 2.0 (SALSA2.0) global aerosol module E. Holopainen et al. 10.5194/gmd-13-6215-2020
- SALSA2.0: The sectional aerosol module of the aerosol–chemistry–climate model ECHAM6.3.0-HAM2.3-MOZ1.0 H. Kokkola et al. 10.5194/gmd-11-3833-2018
- Technical note: Parameterising cloud base updraft velocity of marine stratocumuli J. Ahola et al. 10.5194/acp-22-4523-2022
- An improved representation of aerosol mixing state for air quality–weather interactions R. Stevens et al. 10.5194/acp-22-13527-2022
- Explicit aerosol–cloud interactions in the Dutch Atmospheric Large-Eddy Simulation model DALES4.1-M7 M. de Bruine et al. 10.5194/gmd-12-5177-2019
- Towards a Better Representation of Fog Microphysics in Large-Eddy Simulations Based on an Embedded Lagrangian Cloud Model J. Schwenkel & B. Maronga 10.3390/atmos11050466
- High Free‐Tropospheric Aitken‐Mode Aerosol Concentrations Buffer Cloud Droplet Concentrations in Large‐Eddy Simulations of Precipitating Stratocumulus M. Wyant et al. 10.1029/2021MS002930
- ESD Reviews: Climate feedbacks in the Earth system and prospects for their evaluation C. Heinze et al. 10.5194/esd-10-379-2019
- Key parameters for the life cycle of nocturnal radiation fog: a comprehensive large‐eddy simulation study B. Maronga & F. Bosveld 10.1002/qj.3100
- Using a coupled large-eddy simulation–aerosol radiation model to investigate urban haze: sensitivity to aerosol loading and meteorological conditions J. Slater et al. 10.5194/acp-20-11893-2020
- Deconvolution of boundary layer depth and aerosol constraints on cloud water path in subtropical stratocumulus decks A. Possner et al. 10.5194/acp-20-3609-2020
- Fogs: Physical Basis, Characteristic Properties, and Impacts on the Environment and Human Health J. Pérez-Díaz et al. 10.3390/w9100807
- Impacts of marine organic emissions on low-level stratiform clouds – a large eddy simulator study M. Prank et al. 10.5194/acp-22-10971-2022
34 citations as recorded by crossref.
- Modelling mixed-phase clouds with the large-eddy model UCLALES–SALSA J. Ahola et al. 10.5194/acp-20-11639-2020
- Aerosol–fog interaction and the transition to well-mixed radiation fog I. Boutle et al. 10.5194/acp-18-7827-2018
- The effect of BC on aerosol–boundary layer feedback: potential implications for urban pollution episodes J. Slater et al. 10.5194/acp-22-2937-2022
- Comparing the simulated influence of biomass burning plumes on low-level clouds over the southeastern Atlantic under varying smoke conditions A. Baró Pérez et al. 10.5194/acp-24-4591-2024
- Implementation of the sectional aerosol module SALSA2.0 into the PALM model system 6.0: model development and first evaluation M. Kurppa et al. 10.5194/gmd-12-1403-2019
- The effect of marine ice-nucleating particles on mixed-phase clouds T. Raatikainen et al. 10.5194/acp-22-3763-2022
- A Review of the Representation of Aerosol Mixing State in Atmospheric Models R. Stevens & A. Dastoor 10.3390/atmos10040168
- Demistify: a large-eddy simulation (LES) and single-column model (SCM) intercomparison of radiation fog I. Boutle et al. 10.5194/acp-22-319-2022
- New Particle Formation in the Atmosphere: From Molecular Clusters to Global Climate S. Lee et al. 10.1029/2018JD029356
- Aerosol–stratocumulus interactions: towards a better process understanding using closures between observations and large eddy simulations S. Calderón et al. 10.5194/acp-22-12417-2022
- Characteristics of Desert Precipitation in the UAE Derived from a Ceilometer Dataset M. Airey et al. 10.3390/atmos12101245
- A model study investigating the sensitivity of aerosol forcing to the volatilities of semi-volatile organic compounds M. Irfan et al. 10.5194/acp-24-8489-2024
- Precipitation enhancement in stratocumulus clouds through airborne seeding: sensitivity analysis by UCLALES-SALSA J. Tonttila et al. 10.5194/acp-21-1035-2021
- Description and evaluation of the community aerosol dynamics model MAFOR v2.0 M. Karl et al. 10.5194/gmd-15-3969-2022
- Using a coupled LES aerosol–radiation model to investigate the importance of aerosol–boundary layer feedback in a Beijing haze episode J. Slater et al. 10.1039/D0FD00085J
- Towards seamless environmental prediction – development of Pan-Eurasian EXperiment (PEEX) modelling platform A. Mahura et al. 10.1080/20964471.2024.2325019
- Interaction between Hygroscopic Seeding and Mixed-Phase Microphysics in Convective Clouds J. Tonttila et al. 10.1175/JAMC-D-21-0183.1
- Technical note: Emulation of a large-eddy simulator for stratocumulus clouds in a general circulation model K. Nordling et al. 10.5194/acp-24-869-2024
- A model intercomparison of CCN-limited tenuous clouds in the high Arctic R. Stevens et al. 10.5194/acp-18-11041-2018
- Modeled aerosol-cloud indirect effects and processes based on an observed partially glaciated marine deep convective cloud case I. Kudzotsa et al. 10.1016/j.atmosenv.2019.02.010
- Importance of CCN activation for fog forecasting and its representation in the two‐moment microphysical scheme LIMA B. Vié et al. 10.1002/qj.4812
- In-cloud scavenging scheme for sectional aerosol modules – implementation in the framework of the Sectional Aerosol module for Large Scale Applications version 2.0 (SALSA2.0) global aerosol module E. Holopainen et al. 10.5194/gmd-13-6215-2020
- SALSA2.0: The sectional aerosol module of the aerosol–chemistry–climate model ECHAM6.3.0-HAM2.3-MOZ1.0 H. Kokkola et al. 10.5194/gmd-11-3833-2018
- Technical note: Parameterising cloud base updraft velocity of marine stratocumuli J. Ahola et al. 10.5194/acp-22-4523-2022
- An improved representation of aerosol mixing state for air quality–weather interactions R. Stevens et al. 10.5194/acp-22-13527-2022
- Explicit aerosol–cloud interactions in the Dutch Atmospheric Large-Eddy Simulation model DALES4.1-M7 M. de Bruine et al. 10.5194/gmd-12-5177-2019
- Towards a Better Representation of Fog Microphysics in Large-Eddy Simulations Based on an Embedded Lagrangian Cloud Model J. Schwenkel & B. Maronga 10.3390/atmos11050466
- High Free‐Tropospheric Aitken‐Mode Aerosol Concentrations Buffer Cloud Droplet Concentrations in Large‐Eddy Simulations of Precipitating Stratocumulus M. Wyant et al. 10.1029/2021MS002930
- ESD Reviews: Climate feedbacks in the Earth system and prospects for their evaluation C. Heinze et al. 10.5194/esd-10-379-2019
- Key parameters for the life cycle of nocturnal radiation fog: a comprehensive large‐eddy simulation study B. Maronga & F. Bosveld 10.1002/qj.3100
- Using a coupled large-eddy simulation–aerosol radiation model to investigate urban haze: sensitivity to aerosol loading and meteorological conditions J. Slater et al. 10.5194/acp-20-11893-2020
- Deconvolution of boundary layer depth and aerosol constraints on cloud water path in subtropical stratocumulus decks A. Possner et al. 10.5194/acp-20-3609-2020
- Fogs: Physical Basis, Characteristic Properties, and Impacts on the Environment and Human Health J. Pérez-Díaz et al. 10.3390/w9100807
- Impacts of marine organic emissions on low-level stratiform clouds – a large eddy simulator study M. Prank et al. 10.5194/acp-22-10971-2022
Saved (final revised paper)
Latest update: 23 Nov 2024
Short summary
Novel techniques for modelling the aerosol–cloud interactions are implemented in a cloud-resolving model. The new methods improve the representation of the poorly constrained effects of cloud processing, precipitation and the wet removal of particles on the aerosol population and the associated feedbacks. The detailed representation of these processes yields more realistic simulation of the evolution of boundary layer clouds and fogs, as compared to results obtained using more simple methods.
Novel techniques for modelling the aerosol–cloud interactions are implemented in a...
