Results 31 to 40 of about 29,399 (298)

Stellar Convective Penetration: Parameterized Theory and Dynamical Simulations

open access: yesThe Astrophysical Journal, 2022
Abstract Most stars host convection zones in which heat is transported directly by fluid motion, but the behavior of convective boundaries is not well-understood. Here, we present 3D numerical simulations that exhibit penetration zones: regions where the entire luminosity could be carried by radiation, but where the temperature gradient ...
Evan H. Anders   +3 more
openaire   +2 more sources

Control vector parameterization with sensitivity based refinement applied to baking optimization [PDF]

open access: yes, 2007
In bakery production, product quality attributes as crispness, brownness, crumb and water content are developed by the transformations that occur during baking and which are initiated by heating. A quality driven procedure requires process optimization
Boom, R.M.   +4 more
core   +3 more sources

Can We Use 1D Models to Predict 3D Model Response to Forcing in an Idealized Framework?

open access: yesJournal of Advances in Modeling Earth Systems, 2022
Single‐column models (SCMs) simulations are sometimes used to evaluate model physics and aid parameterization development. However, few studies have systematically compared SCM behavior—where column boundary conditions are specified—with that of ...
Y.‐L. Hwong, S. C. Sherwood, D. Fuchs
doaj   +1 more source

Evaluation of Lightning Forecasting Based on One Lightning Parameterization Scheme and Two Diagnostic Methods

open access: yesAtmosphere, 2018
Lightning forecasting is a vital item in server convective system short-time forecasting. However, lightning parameterization in mesoscale numerical prediction models is still in its early stages of development. Several lightning parameterization schemes
Ying Wang, Yi Yang, Shuanglong Jin
doaj   +1 more source

A unified parameterization of clouds and turbulence using CLUBB and subcolumns in the Community Atmosphere Model [PDF]

open access: yesGeoscientific Model Development, 2015
Most global climate models parameterize separate cloud types using separate parameterizations. This approach has several disadvantages, including obscure interactions between parameterizations and inaccurate triggering of cumulus parameterizations ...
K. Thayer-Calder   +15 more
doaj   +1 more source

Lightning assimilation in the WRF model (Version 4.1.1): technique updates and assessment of the applications from regional to hemispheric scales [PDF]

open access: yesGeoscientific Model Development, 2022
The lightning assimilation (LTA) technique in the Kain–Fritsch convective parameterization in the Weather Research and Forecasting (WRF) model has been updated and applied to continental and hemispheric simulations using lightning flash data obtained ...
D. Kang   +5 more
doaj   +1 more source

Improving the representation of shallow cumulus convection with the simplified-higher-order-closure–mass-flux (SHOC+MF v1.0) approach [PDF]

open access: yesGeoscientific Model Development, 2023
Parameterized boundary layer turbulence and moist convection remain some of the largest sources of uncertainty in general circulation models. High-resolution climate modeling aims to reduce that uncertainty by explicitly attempting to resolve deep moist ...
M. J. Chinita   +11 more
doaj   +1 more source

A Cloud Model to Parameterize Convection [PDF]

open access: yesJournal of Applied Meteorology, 1973
Abstract This paper describes a parameterization of convection developed for use with a multi-level primitive equation model of the atmosphere. This parameterization is similar in form to that of Kuo, who postulates that boundary layer air rises moist adiabatically before mixing with the large-scale flow.
A. A. Barker, W. R. Kininmonth
openaire   +1 more source

Dependence of MJO Predictability on Convective Parameterizations [PDF]

open access: yesJournal of Climate, 2020
AbstractThis study revisits MJO predictability based on the “perfect model” approach with a contemporary model. Experiments are performed to address the reasons for substantial uncertainties in current estimates of MJO predictability, with a focus on the influence of atmospheric convection parameterization.
Jieshun Zhu, Arun Kumar, Wanqiu Wang
openaire   +1 more source

Impact of multiple radar reflectivity data assimilation on the numerical simulation of a flash flood event during the HyMeX campaign [PDF]

open access: yes, 2017
An analysis to evaluate the impact of multiple radar reflectivity data with a three-dimensional variational (3-D-Var) assimilation system on a heavy precipitation event is presented. The main goal is to build a regionally tuned numerical prediction model
Baldini, Luca   +7 more
core   +3 more sources

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