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Calculating state-dependent noise in a linear inverse model framework
Cristian Martinez-Villalobos
, Daniel J. Vimont
, Cécile Penland
, Matthew Newman
, J. David Neelin
Faculty of Engineering and Science
Research output
:
Contribution to journal
›
Article
›
peer-review
20
Scopus citations
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Keyphrases
State-dependent Noise
100%
Linear Inverse Model
100%
Gaussianity
50%
Multiplicative Noise
25%
Weather Station
12%
Estimation Method
12%
Model Formulation
12%
Nonlinearity
12%
Mid-latitude
12%
Parameter Estimation
12%
Parameter Estimation Method
12%
Probability Density Function
12%
Asymmetric Distribution
12%
State-independent
12%
Two-variable
12%
Heavy Tails
12%
Geophysical Time Series
12%
Using Knowledge
12%
Weather Station Data
12%
Time-resolved
12%
Atmosphere-ocean
12%
Gaussian Statistics
12%
Model Extension
12%
Multivariate Linear
12%
Robust Estimation
12%
Light-tailed
12%
Time-resolved Dynamics
12%
Noise Terms
12%
Univariate Case
12%
Additive Noise
12%
Atmosphere Model
12%
Models Statistical
12%
Statistical Constraints
12%
Individual Probability
12%
Independent Noise
12%
Earth and Planetary Sciences
Estimation Method
100%
Weather Stations
100%
Time Series
50%
Temperate Region
50%
Nonlinearity
50%
Probability Density Function
50%
Parameter Estimation
50%
Model Formulation
50%
Timescale
50%
Protective Atmosphere
50%
Statistical Model
50%
INIS
noise
100%
additives
100%
oceans
42%
data
28%
weather
28%
time resolution
28%
dynamics
14%
length
14%
atmospheres
14%
distribution
14%
multivariate analysis
14%
statistics
14%
asymmetry
14%
constraints
14%
nonlinear problems
14%
probability density functions
14%
models (statistical)
14%
Engineering
Gaussianity
100%
Gaussians
50%
Multiplicative Noise
50%
Limiting Case
25%
Data Length
25%
Desirable Quality
25%
Noise Term
25%
Midlatitudes
25%
Parameter Estimation
25%
Additive Noise
25%
Statistical Model
25%
Nonlinearity
25%
Probability Density Function
25%
Physics
Gaussian Distribution
100%
Weather Station
100%
Probability Theory
50%
Parameter Estimation
50%
Protective Atmosphere
50%