Articles | Volume 22, issue 1
https://doi.org/10.5194/npg-22-65-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/npg-22-65-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
28 Jan 2015
Research article |
| 28 Jan 2015
Fluctuations in a quasi-stationary shallow cumulus cloud ensemble
M. Sakradzija
CORRESPONDING AUTHOR
Max Planck Institute for Meteorology, Hamburg, Germany
International Max Planck Research School on Earth System Modelling (IMPRS-ESM), Hamburg, Germany
A. Seifert
Hans-Ertel Centre for Weather Research, Deutscher Wetterdienst, Hamburg, Germany
T. Heus
Max Planck Institute for Meteorology, Hamburg, Germany
Institute for Geophysics and Meteorology, University of Cologne, Cologne, Germany
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Cited
34 citations as recorded by crossref.
- Sampling the Structure of Convective Turbulence and Implications for Grey-Zone Parametrizations R. Honnert et al. https://doi.org/10.1007/s10546-016-0130-4
- Empirical values and assumptions in the convection schemes of numerical models A. Villalba-Pradas & F. Tapiador https://doi.org/10.5194/gmd-15-3447-2022
- The Structure of Climate Variability Across Scales C. Franzke et al. https://doi.org/10.1029/2019RG000657
- Evidence for the role of thermal and cloud merging in mesoscale convective organization S. Bony et al. https://doi.org/10.5194/acp-25-17331-2025
- Investigating the Scale Adaptivity of a Size-Filtered Mass Flux Parameterization in the Gray Zone of Shallow Cumulus Convection M. Brast et al. https://doi.org/10.1175/JAS-D-17-0231.1
- Stochastic Differential Equations for the Variability of Atmospheric Convection Fluctuating Around the Equilibrium E. Machulskaya & A. Seifert https://doi.org/10.1029/2019MS001638
- The Contributions of Shear and Turbulence to Cloud Overlap for Cumulus Clouds A. Sulak et al. https://doi.org/10.1029/2019JD032017
- Assessing Memory in Convection Schemes Using Idealized Tests Y. Hwong et al. https://doi.org/10.1029/2023MS003726
- On the Factors Controlling the Development of Shallow Convection in Eddy-Diffusivity/Mass-Flux Models K. Suselj et al. https://doi.org/10.1175/JAS-D-18-0121.1
- Scale‐Aware Space‐Time Stochastic Parameterization of Subgrid‐Scale Velocity Enhancement of Sea Surface Fluxes J. Bessac et al. https://doi.org/10.1029/2020MS002367
- Physically Constrained Stochastic Shallow Convection in Realistic Kilometer‐Scale Simulations M. Sakradzija & D. Klocke https://doi.org/10.1029/2018MS001358
- HErZ: The German Hans-Ertel Centre for Weather Research C. Simmer et al. https://doi.org/10.1175/BAMS-D-13-00227.1
- Power-Law Scaling in the Internal Variability of Cumulus Cloud Size Distributions due to Subsampling and Spatial Organization R. Neggers et al. https://doi.org/10.1175/JAS-D-18-0194.1
- Comparison of the Vertical Distributions of Cloud Properties from Idealized Extratropical Deep Convection Simulations Using Various Horizontal Resolutions W. Huang et al. https://doi.org/10.1175/MWR-D-17-0162.1
- What Determines the Distribution of Shallow Convective Mass Flux through a Cloud Base? M. Sakradzija & C. Hohenegger https://doi.org/10.1175/JAS-D-16-0326.1
- Size‐Dependent Characteristics of Surface‐Rooted Three‐Dimensional Convective Objects in Continental Shallow Cumulus Simulations P. Griewank et al. https://doi.org/10.1029/2021MS002612
- Stochastic Methods and Complexity Science in Climate Research and Modeling C. Franzke et al. https://doi.org/10.3389/fphy.2022.931596
- The hectometric modelling challenge: Gaps in the current state of the art and ways forward towards the implementation of 100‐m scale weather and climate models H. Lean et al. https://doi.org/10.1002/qj.4858
- A stochastic scale‐aware parameterization of shallow cumulus convection across the convective gray zone M. Sakradzija et al. https://doi.org/10.1002/2016MS000634
- Global climate impacts of stochastic deep convection parameterization in the NCARCAM5 Y. Wang & G. Zhang https://doi.org/10.1002/2016MS000756
- Process‐oriented stochastic perturbations applied to the parametrization of turbulence and shallow convection for ensemble prediction A. Fleury et al. https://doi.org/10.1002/qj.4242
- A stochastic stability equation for unsteady turbulence in the stable boundary layer V. Boyko & N. Vercauteren https://doi.org/10.1002/qj.4498
- Understanding the dependence of mean precipitation on convective treatment and horizontal resolution in tropical aquachannel experiments H. Jung et al. https://doi.org/10.5194/wcd-4-1111-2023
- Stochastic Parameterization: Toward a New View of Weather and Climate Models J. Berner et al. https://doi.org/10.1175/BAMS-D-15-00268.1
- Large‐eddy simulation of the transient and near‐equilibrium behavior of precipitating shallow convection A. Seifert et al. https://doi.org/10.1002/2015MS000489
- Spatial Covariance Modeling for Stochastic Subgrid‐Scale Parameterizations Using Dynamic Mode Decomposition F. Gugole & C. Franzke https://doi.org/10.1029/2020MS002115
- Additive Model Perturbations Scaled by Physical Tendencies for Use in Ensemble Prediction M. Tsyrulnikov et al. https://doi.org/10.16993/tellusa.3224
- Variability and Clustering of Midlatitude Summertime Convection: Testing the Craig and Cohen Theory in a Convection-Permitting Ensemble with Stochastic Boundary Layer Perturbations S. Rasp et al. https://doi.org/10.1175/JAS-D-17-0258.1
- Crossing Multiple Gray Zones in the Transition from Mesoscale to Microscale Simulation over Complex Terrain F. Chow et al. https://doi.org/10.3390/atmos10050274
- Effects of coupling a stochastic convective parameterization with the Zhang–McFarlane scheme on precipitation simulation in the DOE E3SMv1.0 atmosphere model Y. Wang et al. https://doi.org/10.5194/gmd-14-1575-2021
- Reconciling Chord Length Distributions and Area Distributions for Fields of Fractal Cumulus Clouds N. Barron et al. https://doi.org/10.3390/atmos11080824
- Comparing ground‐based observations and a large‐eddy simulation of shallow cumuli by isolating the main controlling factors of the mass flux distribution M. Sakradzija & M. Klingebiel https://doi.org/10.1002/qj.3671
- Parameterization of stochastic multiscale triads J. Wouters et al. https://doi.org/10.5194/npg-23-435-2016
- Fitting Cumulus Cloud Size Distributions From Idealized Cloud Resolving Model Simulations J. Savre & G. Craig https://doi.org/10.1029/2022MS003360
34 citations as recorded by crossref.
- Sampling the Structure of Convective Turbulence and Implications for Grey-Zone Parametrizations R. Honnert et al. https://doi.org/10.1007/s10546-016-0130-4
- Empirical values and assumptions in the convection schemes of numerical models A. Villalba-Pradas & F. Tapiador https://doi.org/10.5194/gmd-15-3447-2022
- The Structure of Climate Variability Across Scales C. Franzke et al. https://doi.org/10.1029/2019RG000657
- Evidence for the role of thermal and cloud merging in mesoscale convective organization S. Bony et al. https://doi.org/10.5194/acp-25-17331-2025
- Investigating the Scale Adaptivity of a Size-Filtered Mass Flux Parameterization in the Gray Zone of Shallow Cumulus Convection M. Brast et al. https://doi.org/10.1175/JAS-D-17-0231.1
- Stochastic Differential Equations for the Variability of Atmospheric Convection Fluctuating Around the Equilibrium E. Machulskaya & A. Seifert https://doi.org/10.1029/2019MS001638
- The Contributions of Shear and Turbulence to Cloud Overlap for Cumulus Clouds A. Sulak et al. https://doi.org/10.1029/2019JD032017
- Assessing Memory in Convection Schemes Using Idealized Tests Y. Hwong et al. https://doi.org/10.1029/2023MS003726
- On the Factors Controlling the Development of Shallow Convection in Eddy-Diffusivity/Mass-Flux Models K. Suselj et al. https://doi.org/10.1175/JAS-D-18-0121.1
- Scale‐Aware Space‐Time Stochastic Parameterization of Subgrid‐Scale Velocity Enhancement of Sea Surface Fluxes J. Bessac et al. https://doi.org/10.1029/2020MS002367
- Physically Constrained Stochastic Shallow Convection in Realistic Kilometer‐Scale Simulations M. Sakradzija & D. Klocke https://doi.org/10.1029/2018MS001358
- HErZ: The German Hans-Ertel Centre for Weather Research C. Simmer et al. https://doi.org/10.1175/BAMS-D-13-00227.1
- Power-Law Scaling in the Internal Variability of Cumulus Cloud Size Distributions due to Subsampling and Spatial Organization R. Neggers et al. https://doi.org/10.1175/JAS-D-18-0194.1
- Comparison of the Vertical Distributions of Cloud Properties from Idealized Extratropical Deep Convection Simulations Using Various Horizontal Resolutions W. Huang et al. https://doi.org/10.1175/MWR-D-17-0162.1
- What Determines the Distribution of Shallow Convective Mass Flux through a Cloud Base? M. Sakradzija & C. Hohenegger https://doi.org/10.1175/JAS-D-16-0326.1
- Size‐Dependent Characteristics of Surface‐Rooted Three‐Dimensional Convective Objects in Continental Shallow Cumulus Simulations P. Griewank et al. https://doi.org/10.1029/2021MS002612
- Stochastic Methods and Complexity Science in Climate Research and Modeling C. Franzke et al. https://doi.org/10.3389/fphy.2022.931596
- The hectometric modelling challenge: Gaps in the current state of the art and ways forward towards the implementation of 100‐m scale weather and climate models H. Lean et al. https://doi.org/10.1002/qj.4858
- A stochastic scale‐aware parameterization of shallow cumulus convection across the convective gray zone M. Sakradzija et al. https://doi.org/10.1002/2016MS000634
- Global climate impacts of stochastic deep convection parameterization in the NCARCAM5 Y. Wang & G. Zhang https://doi.org/10.1002/2016MS000756
- Process‐oriented stochastic perturbations applied to the parametrization of turbulence and shallow convection for ensemble prediction A. Fleury et al. https://doi.org/10.1002/qj.4242
- A stochastic stability equation for unsteady turbulence in the stable boundary layer V. Boyko & N. Vercauteren https://doi.org/10.1002/qj.4498
- Understanding the dependence of mean precipitation on convective treatment and horizontal resolution in tropical aquachannel experiments H. Jung et al. https://doi.org/10.5194/wcd-4-1111-2023
- Stochastic Parameterization: Toward a New View of Weather and Climate Models J. Berner et al. https://doi.org/10.1175/BAMS-D-15-00268.1
- Large‐eddy simulation of the transient and near‐equilibrium behavior of precipitating shallow convection A. Seifert et al. https://doi.org/10.1002/2015MS000489
- Spatial Covariance Modeling for Stochastic Subgrid‐Scale Parameterizations Using Dynamic Mode Decomposition F. Gugole & C. Franzke https://doi.org/10.1029/2020MS002115
- Additive Model Perturbations Scaled by Physical Tendencies for Use in Ensemble Prediction M. Tsyrulnikov et al. https://doi.org/10.16993/tellusa.3224
- Variability and Clustering of Midlatitude Summertime Convection: Testing the Craig and Cohen Theory in a Convection-Permitting Ensemble with Stochastic Boundary Layer Perturbations S. Rasp et al. https://doi.org/10.1175/JAS-D-17-0258.1
- Crossing Multiple Gray Zones in the Transition from Mesoscale to Microscale Simulation over Complex Terrain F. Chow et al. https://doi.org/10.3390/atmos10050274
- Effects of coupling a stochastic convective parameterization with the Zhang–McFarlane scheme on precipitation simulation in the DOE E3SMv1.0 atmosphere model Y. Wang et al. https://doi.org/10.5194/gmd-14-1575-2021
- Reconciling Chord Length Distributions and Area Distributions for Fields of Fractal Cumulus Clouds N. Barron et al. https://doi.org/10.3390/atmos11080824
- Comparing ground‐based observations and a large‐eddy simulation of shallow cumuli by isolating the main controlling factors of the mass flux distribution M. Sakradzija & M. Klingebiel https://doi.org/10.1002/qj.3671
- Parameterization of stochastic multiscale triads J. Wouters et al. https://doi.org/10.5194/npg-23-435-2016
- Fitting Cumulus Cloud Size Distributions From Idealized Cloud Resolving Model Simulations J. Savre & G. Craig https://doi.org/10.1029/2022MS003360
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