Results 11 to 20 of about 138,511 (294)

Detrainment in deep convection [PDF]

Geophysical Research Letters, 2012
This study explores the mechanisms that determine detrainment in deep cumulus convection. A set of 90 high‐resolution Large Eddy Simulations is used to systematically explore the sensitivity of continental deep convection to the relative humidity and ...
S. J. Böing, A. P. Siebesma, J. D. Korpershoek, H. J. J. Jonker   +3 more
doaj   +5 more sources

Increasing vertical mixing to reduce Southern Ocean deep convection in NEMO3.4 [PDF]

Geoscientific Model Development, 2015
Most CMIP5 (Coupled Model Intercomparison Project Phase 5) models unrealistically form Antarctic Bottom Water by open ocean deep convection in the Weddell and Ross seas.
C. Heuzé, J. K. Ridley, D. Calvert, D. P. Stevens, K. J. Heywood   +4 more
doaj   +4 more sources

Divergent convective outflow in ICON deep-convection-permitting and parameterised deep convection simulations [PDF]

Weather and Climate Dynamics, 2023
Upper-tropospheric deep convective outflows during an event on 10–11 June 2019 over central Europe are analysed in ensembles of the operational Icosahedral Nonhydrostatic (ICON) numerical weather prediction model.
E. Groot, E. Groot, P. Kuntze, A. Miltenberger, H. Tost   +4 more
doaj   +6 more sources

Simulating deep convection with a shallow convection scheme [PDF]

Atmospheric Chemistry and Physics, 2011
Convective processes profoundly affect the global water and energy balance of our planet but remain a challenge for global climate modeling. Here we develop and investigate the suitability of a unified convection scheme, capable of handling both shallow ...
C. Hohenegger, C. S. Bretherton
doaj   +5 more sources

Simulating model uncertainty of subgrid-scale processes by sampling model errors at convective scales [PDF]

Nonlinear Processes in Geophysics, 2020
Ideally, perturbation schemes in ensemble forecasts should be based on the statistical properties of the model errors. Often, however, the statistical properties of these model errors are unknown. In practice, the perturbations are pragmatically modelled
M. Van Ginderachter, M. Van Ginderachter, D. Degrauwe, D. Degrauwe, S. Vannitsem, P. Termonia, P. Termonia   +6 more
doaj   +4 more sources

Weakening of the AMOC and strengthening of Labrador Sea deep convection in response to external freshwater forcing [PDF]

Nature Communications
The Atlantic Meridional Overturning Circulation (AMOC) is a key player in climate. Here, we employ an ensemble of water hosing experiments to examine mechanisms of AMOC weakening and its subsequent impact on the Labrador Sea open-ocean deep convection ...
Xinyue Wei, Rong Zhang
doaj   +2 more sources

Simulated Precipitation Diurnal Variation With a Deep Convective Closure Subject to Shallow Convection in Community Atmosphere Model Version 5 Coupled With CLUBB

Journal of Advances in Modeling Earth Systems, 2020
In order to improve the physical consistency between shallow and deep convection, we modify the deep convective closure in the Community Atmosphere Model version 5 (CAM5) coupled with a third‐order turbulence closure parameterization (i.e., Cloud Layers ...
Ben Yang, Minghuai Wang, Guang J. Zhang, Zhun Guo, Yun Qian, Anning Huang, Yaocun Zhang   +6 more
doaj   +2 more sources

Physical controls of Southern Ocean deep‐convection variability in CMIP5 models and the Kiel Climate Model

Geophysical Research Letters, 2017
Global climate models exhibit large biases in the Southern Ocean. For example, in models Antarctic bottom water is formed mostly through open‐ocean deep convection rather than through shelf convection.
A. Reintges, T. Martin, M. Latif, W. Park   +3 more
doaj   +2 more sources

Evaluation of Machine Learning Classifiers for Predicting Deep Convection

Journal of Advances in Modeling Earth Systems, 2019
The realistic representation of convection in atmospheric models is paramount for skillful predictions of hazardous weather as well as climate, yet climate models especially suffer from large uncertainties in the parameterization of clouds and convection.
Peter Ukkonen, Antti Mäkelä
doaj   +2 more sources

Dusty Deep Convection in the Mars Year 34 Planet‐Encircling Dust Event [PDF]

Journal of Geophysical Research E: Planets, 2019
Nicholas G Heavens, David M Kass, James H Shirley   +2 more
exaly   +2 more sources