INIS
turbulence
100%
neural networks
100%
variational methods
100%
atmospherics
100%
data
42%
equations
28%
instability
28%
prediction
14%
precision
14%
closures
14%
convergence
14%
simulation
14%
compacts
14%
architecture
14%
enrichment
14%
accuracy
14%
errors
14%
stability
14%
solutions
14%
general circulation models
14%
Earth and Planetary Sciences
Multiscale Model
100%
Atmospheric Turbulence
100%
Parameterization
100%
Artificial Neural Network
100%
Training
28%
Show
14%
Architecture
14%
Assumption
14%
Stability
14%
Enrichment
14%
Term
14%
Accuracy
14%
Data Set
14%
General Circulation Model
14%
Input
14%
State
14%
Model
14%
Closure
14%
Error
14%
Stable
14%
Shape
14%
Engineering
Discretization
28%
Governing Equation
28%
Multiscale
28%
Implicit Time
14%
Models
14%
Model Form
14%
Error
14%
Demonstrates
14%
Dataset
14%
Neural Network Architecture
14%
Priori Assumption
14%
Good Prediction
14%
Mathematics
Time Step
42%
Discretization
28%
Training Data
14%
Prediction
14%
Data Set
14%
General Circulation Model
14%
Intra
14%
Material Science
Atmospheric Turbulence
100%