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Dynamic Stochastic Superresolution of sparsely observed turbulent systems
M. Branicki
, A.J. Majda
School of Mathematics
Research output
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Contribution to journal
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Article
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peer-review
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Dive into the research topics of 'Dynamic Stochastic Superresolution of sparsely observed turbulent systems'. Together they form a unique fingerprint.
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Mathematics
Super-resolution
100%
Stochastic Dynamics
78%
Skills
47%
Observation
26%
Energy Spectrum
23%
Real-time
18%
Filtering
16%
Prediction
13%
Mesh
12%
Exactly Solvable Models
12%
Extreme Events
12%
Testbed
11%
Model Error
10%
Aliasing
10%
Model
10%
Extended Systems
10%
Atmosphere
10%
Cross-correlation
10%
Ocean
10%
Forecast
9%
Imperfect
9%
Turbulence
9%
Velocity Field
8%
Trade-offs
8%
Parameterization
8%
Rough
8%
Recovery
8%
Fluctuations
7%
Computational Complexity
7%
Closure
6%
Energy
5%
Range of data
5%
Physics & Astronomy
mesh
15%
estimating
14%
energy spectra
13%
pulse detonation engines
10%
test stands
9%
forecasting
9%
parameterization
9%
oceans
8%
predictions
8%
cross correlation
8%
closures
8%
recovery
6%
velocity distribution
6%
turbulence
6%
atmospheres
5%
energy
2%
Engineering & Materials Science
Stochastic models
8%
Parameterization
8%
Turbulence
7%
Numerical models
6%
Computational complexity
6%
Fluxes
6%
Recovery
5%