Short-term prediction of Lagrangian trajectories

Journal of Atmospheric and Oceanic Technology

Volumn 18, Issue 8, 2001, Pages 1398-1410

  Piterbarg, L I ^a  

^a UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DIFFUSION; KALMAN FILTERING; LAGRANGE MULTIPLIERS; MARKOV PROCESSES; MATHEMATICAL MODELS;

LAGRANGIAN TRAJECTORIES;

PARTICLES (PARTICULATE MATTER);

ALGORITHM; KALMAN FILTER; LAGRANGIAN ANALYSIS; MONTE CARLO ANALYSIS; PARTICULATE MATTER; TRAJECTORY;

EID: 0035415325     PISSN: 07390572     EISSN: None     Source Type: Journal    
DOI: 10.1175/1520-0426(2001)018<1398:STPOLT>2.0.CO;2     Document Type: Article

References (24)

1. Eddy-mean flow decomposition and eddy-diffusivity estimates in the tropical Pacific Ocean. Part I: Methodology
2. A family of stochastic models for two-particle dispersion in isotropic homogeneous stationary turbulence
3. Prediction of particle trajectories in the Adriatic Sea using Lagrangian data assimilation
4. Lagrangian ocean studies
5. Observing the general circulation with floats
6. Applications of stochastic particle models to oceanographic problems
7. Estimates of turbulence parameters from Lagrangian data using a stochastic particle model
8. Successive correction of the mean sea surface height by the simultaneous assimilation of drifting buoy and altimetric data
9. On the predictability of Lagrangian trajectories in the ocean
10. Predictability of drifter trajectories in the tropical Pacific Ocean
11. On Markov modeling of turbulence
12. Drift estimation for Brownian flows
13. The top Lyapunov exponent for a stochastic flow modeling the upper ocean turbulence
14. Consistency conditions for random walk models of turbulent dispersion
15. On the formulation of Lagrangian stochastic models of scalar dispersion within plant canopies
16. Recent developments in the Lagrangian stochastic theory of turbulent dispersion
17. Statistical analysis of the surface circulation of the California current
18. A random walk model of dispersion in turbulent flows and its application to dispersion in a valley
19. A stochastic model for the motion of particle pairs in isotropic high-Reynolds-number turbulence, and its application to the problem of concentration variance
20. Effects of finite scales of turbulence on dispersion estimates