Articles | Volume 9, issue 2
https://doi.org/10.5194/gmd-9-567-2016
© Author(s) 2016. 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-9-567-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Model description paper
| 
10 Feb 2016
Model description paper |
| 10 Feb 2016
LIMA (v1.0): A quasi two-moment microphysical scheme driven by a multimodal population of cloud condensation and ice freezing nuclei
CNRM-GAME, Météo-France & CNRS, 42 avenue Gaspard Coriolis, 31057 Toulouse, France
J.-P. Pinty
Laboratoire d'Aérologie, University of Toulouse/CNRS, 14 avenue Edouard Belin, 31400 Toulouse, France
S. Berthet
Laboratoire d'Etudes en Géophysique et Océanographie Spatiales, CNRS/IRD/University of Toulouse/CNES, 14 avenue Edouard Belin, 31400 Toulouse, France
M. Leriche
Laboratoire d'Aérologie, University of Toulouse/CNRS, 14 avenue Edouard Belin, 31400 Toulouse, France
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- Genesis of diamond dust, ice fog and thick cloud episodes observed and modelled above Dome C, Antarctica P. Ricaud et al. 10.5194/acp-17-5221-2017
- Improvements to the parametrization of snow in AROME in the context of ice crystal icing J. Wurtz et al. 10.1002/qj.4437
- Impact of the Generation and Activation of Sea Salt Aerosols on the Evolution of Tropical Cyclone Dumile T. Hoarau et al. 10.1029/2017JD028125
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47 citations as recorded by crossref.
- Evaluation of the two‐moment scheme LIMA based on microphysical observations from the HyMeX campaign M. Taufour et al. 10.1002/qj.3283
- Evaluation of the AROME model's ability to represent ice crystal icing using in situ observations from the HAIC 2015 field campaign J. Wurtz et al. 10.1002/qj.4100
- W-band radar observations for fog forecast improvement: an analysis of model and forward operator errors A. Bell et al. 10.5194/amt-14-4929-2021
- Comparison of Two-Moment and Three-Moment Bulk Microphysics Schemes in Thunderstorm Simulations over Indian Subcontinent C. Mallick et al. 10.1016/j.atmosres.2024.107614
- A Case Study of the Possible Meteorological Causes of Unexpected Fire Behavior in the Pantanal Wetland, Brazil F. Couto et al. 10.3390/earth5030028
- Simulations of the impact of cloud condensation nuclei and ice-nucleating particles perturbations on the microphysics and radar reflectivity factor of stratiform mixed-phase clouds J. Lee et al. 10.5194/acp-24-5737-2024
- Assimilation of radar dual‐polarization observations in the AROME model C. Augros et al. 10.1002/qj.3269
- The ALADIN System and its canonical model configurations AROME CY41T1 and ALARO CY40T1 P. Termonia et al. 10.5194/gmd-11-257-2018
- Atmospheric Sea Spray Modeling in the North‐East Atlantic Ocean Using Tunnel‐Derived Generation Functions and the SUMOS Cruise Data Set W. Bruch et al. 10.1029/2022JD038330
- Development of “Physical Parametrizations with PYthon” (PPPY, version 1.1) and its usage to reduce the time-step dependency in a microphysical scheme S. Riette 10.5194/gmd-13-443-2020
- Formation of fog due to stratus lowering: An observational and modelling case study M. Fathalli et al. 10.1002/qj.4304
- Prediction of CCN spectra parameters in the North China Plain using a random forest model M. Liang et al. 10.1016/j.atmosenv.2022.119323
- Developments of Single-Moment ALARO Microphysics Scheme with Three Prognostic Ice Categories D. Nemec et al. 10.16993/tellusa.3464
- All‐sky satellite data assimilation at operational weather forecasting centres A. Geer et al. 10.1002/qj.3202
- The HARMONIE–AROME Model Configuration in the ALADIN–HIRLAM NWP System L. Bengtsson et al. 10.1175/MWR-D-16-0417.1
- Confronting the Challenge of Modeling Cloud and Precipitation Microphysics H. Morrison et al. 10.1029/2019MS001689
- Overview of the Meso-NH model version 5.4 and its applications C. Lac et al. 10.5194/gmd-11-1929-2018
- Impact of the Microphysics in HARMONIE-AROME on Fog S. Contreras Osorio et al. 10.3390/atmos13122127
- Combining Triple‐Moment Ice With Prognostic Liquid Fraction in the P3 Microphysics Scheme: Impacts on a Simulated Squall Line M. Cholette et al. 10.1029/2022MS003328
- Forecasting and modelling ice layer formation on the snowpack due to freezing precipitation in the Pyrenees L. Quéno et al. 10.1016/j.coldregions.2017.11.007
- Impacts of Varying Concentrations of Cloud Condensation Nuclei on Deep Convective Cloud Updrafts—A Multimodel Assessment P. Marinescu et al. 10.1175/JAS-D-20-0200.1
- Experimental study on the evolution of droplet size distribution during the fog life cycle M. Mazoyer et al. 10.5194/acp-22-11305-2022
- Examining relationships between cloud‐resolving model parameters and total flash rates to generate lightning density maps C. Bovalo et al. 10.1002/qj.3494
- Cloud electrification and lightning activity in a tropical cyclone-like vortex C. Barthe et al. 10.1016/j.atmosres.2016.05.023
- Impact of the Generation and Activation of Sea Salt Aerosols on the Evolution of Tropical Cyclone Dumile T. Hoarau et al. 10.1029/2017JD028125
- The Importance of the Ice-Phase Microphysics Parameterization for Simulating the Effects of Changes to CCN Concentrations in Deep Convection C. Jouan & J. Milbrandt 10.1175/JAS-D-18-0168.1
- Evaluation of Two Cloud-Resolving Models Using Bin or Bulk Microphysics Representation for the HyMeX-IOP7a Heavy Precipitation Event D. Arteaga et al. 10.3390/atmos11111177
- The impact of aerosols on stratiform clouds over southern West Africa: a large-eddy-simulation study L. Delbeke et al. 10.5194/acp-23-13329-2023
- Improving supercooled liquid water representation in the microphysical scheme ICE3 R. Dupont et al. 10.1002/qj.4806
- Fog in heterogeneous environments: the relative importance of local and non‐local processes on radiative‐advective fog formation L. Ducongé et al. 10.1002/qj.3783
- Simulation of W‐band radar reflectivity for model validation and data assimilation M. Borderies et al. 10.1002/qj.3210
- Impact of Tropical Cyclones on Inhabited Areas of the SWIO Basin at Present and Future Horizons. Part 2: Modeling Component of the Research Program RENOVRISK-CYCLONE C. Barthe et al. 10.3390/atmos12060689
- Overview towards improved understanding of the mechanisms leading to heavy precipitation in the western Mediterranean: lessons learned from HyMeX S. Khodayar et al. 10.5194/acp-21-17051-2021
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- Impacts of Transition Approach of Water Vapor-Related Microphysical Processes on Quantitative Precipitation Forecasting Z. Ma et al. 10.3390/atmos13071133
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- The Cycle 46 Configuration of the HARMONIE-AROME Forecast Model E. Gleeson et al. 10.3390/meteorology3040018
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- A representation of the collisional ice break-up process in the two-moment microphysics LIMA v1.0 scheme of Meso-NH T. Hoarau et al. 10.5194/gmd-11-4269-2018
- ReNovRisk: a multidisciplinary programme to study the cyclonic risks in the South-West Indian Ocean P. Tulet et al. 10.1007/s11069-021-04624-w
- The sensitivity of intense rainfall to aerosol particle loading – a comparison of bin-resolved microphysics modelling with observations of heavy precipitation from HyMeX IOP7a C. Kagkara et al. 10.5194/nhess-20-1469-2020
- Uncertainty of SW Cloud Radiative Effect in Atmospheric Models Due to the Parameterization of Liquid Cloud Optical Properties E. Jahangir et al. 10.1029/2021MS002742
- UCLALES–SALSA v1.0: a large-eddy model with interactive sectional microphysics for aerosol, clouds and precipitation J. Tonttila et al. 10.5194/gmd-10-169-2017
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- Improvements to the parametrization of snow in AROME in the context of ice crystal icing J. Wurtz et al. 10.1002/qj.4437
2 citations as recorded by crossref.
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Short summary
LIMA, a new quasi two-moment, mixed-phase microphysical scheme, is introduced. LIMA relies on the prognostic evolution of a multimodal aerosol population and the careful description of their nucleating properties that enable cloud droplets and pristine ice to form. This paper describes LIMA and illustrates its ability to represent aerosol-cloud interactions for 2-D idealized simulations of a squall line and orographic cold clouds.
LIMA, a new quasi two-moment, mixed-phase microphysical scheme, is introduced. LIMA relies on...
