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
Viewed
Total article views: 7,217 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 04 Aug 2014)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 4,862 | 2,044 | 311 | 7,217 | 274 | 360 |
- HTML: 4,862
- PDF: 2,044
- XML: 311
- Total: 7,217
- BibTeX: 274
- EndNote: 360
Total article views: 6,112 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 28 Jan 2015)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 4,464 | 1,365 | 283 | 6,112 | 261 | 349 |
- HTML: 4,464
- PDF: 1,365
- XML: 283
- Total: 6,112
- BibTeX: 261
- EndNote: 349
Total article views: 1,105 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 04 Aug 2014)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 398 | 679 | 28 | 1,105 | 13 | 11 |
- HTML: 398
- PDF: 679
- XML: 28
- Total: 1,105
- BibTeX: 13
- EndNote: 11
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
Saved (final revised paper)
Latest update: 09 Jun 2026
