Seeding agent dispersion within convective cloud as simulated by a 3-D numerical model

2005 ◽  
Vol 92 (3-4) ◽  
pp. 205-216 ◽  
Author(s):  
M. Ćurić ◽  
D. Janc ◽  
V. Vučković
Keyword(s):  
Numerical Model ◽  
Convective Cloud ◽  
Seeding Agent

Studying the showers and thunderstorms on the territory of Russia using the numerical model of convective cloud and the reanalysis data

2013 ◽  
Vol 38 (1) ◽  
pp. 20-27 ◽  
Author(s):  
N. E. Veremei ◽  
Yu. A. Dovgalyuk ◽  
S. V. Efimov ◽  
A. M. Nosova ◽  
A. A. Pechenkin
Keyword(s):  
Numerical Model ◽  
Convective Cloud ◽  
Reanalysis Data

scholarly journals Modification of Mesoscale Convective Weather Systems

1986 ◽  
Vol 43 ◽  
pp. 77-86 ◽  
Author(s):  
J. Michael Fritsch
Keyword(s):  
Numerical Model ◽  
Convective Cloud ◽  
Mathematical Framework ◽  
Focal Points ◽  
Model Experiments ◽  
Mesoscale Convective ◽  
Numerical Model Experiments ◽  
Convective Weather ◽  
Ice Phase

Abstract Modification of mesoscale convective weather systems through ice-phase seeding is briefly reviewed. a simple mathematical framework for estimating the likely mesoscale response to convective cloud modification is presented, and previous mesoscale modification hypotheses are discussed in the context of this mathematical framework. Some basic differences between cloud-scale and mesoscale modification hypotheses are also discussed. Numerical model experiments to test the mesoscale sensitivity of convective weather systems are reviewed, and several focal points for identifying mesoscale modification potential are presented.

NUMERICAL MODEL TO SIMULATE THE EROSION ON THE SLOPE DUE TO OVERTOPPING

2010 ◽  
Vol 13 (3) ◽  
pp. 78-87
Author(s):  
Hoai Cong Huynh
Keyword(s):  
Numerical Model ◽  
Flow Model ◽  
Bed Load ◽  
Experiment Data ◽  
Step Method ◽  
Morphological Model ◽  
Load Transport ◽  
Bed Load Transport ◽  
The Finite Difference Method ◽  
Good Agreement

The numerical model is developed consisting of a 1D flow model and the morphological model to simulate the erosion due to the water overtopping. The step method is applied to solve the water surface on the slope and the finite difference method of the modified Lax Scheme is applied for bed change equation. The Meyer-Peter and Muller formulae is used to determine the bed load transport rate. The model is calibrated and verified based on the data in experiment. It is found that the computed results and experiment data are good agreement.

A numerical model to verify the communication between Gari and Peccia springs (Cassino, Central Italy)

2015 ◽  
Vol 35 ◽  
pp. 268-271
Author(s):  
Michele Saroli ◽  
Michele Lancia ◽  
Marco Petitta ◽  
Gabriele Scarascia Mugnozza
Keyword(s):  
Numerical Model ◽  
Central Italy
Sign in / Sign up

Export Citation Format

Share Document