Zobrazeno 1 - 10
of 67
pro vyhledávání: '"L. M. Ivanov"'
Publikováno v:
Nonlinear Processes in Geophysics, Vol 21, Iss 4, Pp 887-900 (2014)
Sea surface height (SSH) altimetry observations for 1992 to 2009 off California are used to show that observed quasi-zonal jets were likely driven by near-resonance interactions between different scales of the flow. Quartet (modulational) instability
Externí odkaz:
https://doaj.org/article/e5441a027cd9482e90cddf9bba369829
Autor:
L. M. Ivanov, P. C. Chu
Publikováno v:
Nonlinear Processes in Geophysics, Vol 14, Iss 5, Pp 655-670 (2007)
A shallow-water model was used to understand model error induced by non-Gaussian wind uncertainty. Although the model was simple, it described a generic system with many degrees of freedom randomized by external noise. The study focused on the nontri
Externí odkaz:
https://doaj.org/article/278d37f3b1f54876b8fe9d08c7166c96
Autor:
P. C. Chu, L. M. Ivanov
Publikováno v:
Nonlinear Processes in Geophysics, Vol 12, Iss 1, Pp 129-138 (2005)
Probabilistic aspects of regional ocean model predictability is analyzed using the probability density function (PDF) of the irreversible predictability time (IPT) (called τ-PDF) computed from an unconstrained ensemble of stochastic perturbations in
Externí odkaz:
https://doaj.org/article/23d65ae393b04a36aad79c9b165afca7
Lagrangian predictability of high-resolution regional models: the special case of the Gulf of Mexico
Publikováno v:
Nonlinear Processes in Geophysics, Vol 11, Iss 1, Pp 47-66 (2004)
The Lagrangian prediction skill (model ability to reproduce Lagrangian drifter trajectories) of the nowcast/forecast system developed for the Gulf of Mexico at the University of Colorado at Boulder is examined through comparison with real drifter obs
Externí odkaz:
https://doaj.org/article/55615986a8a0430790e6b857fc122dd2
Publikováno v:
Nonlinear Processes in Geophysics, Vol 1, Iss 4, Pp 224-233 (1994)
Assuming that the behaviour of a nonlinear stochastic system can be described by a Markovian diffusion approximation and that the evolution equations can be reduced to a system of ordinary differential equations, a method for the calculation of predi
Externí odkaz:
https://doaj.org/article/8823be829d2c4b01bd51ad93cb7d0805
Autor:
Peter C. Chu, L. M. Ivanov
Publikováno v:
Ocean Modelling. 137:114-131
A new technique is proposed for estimating turbulent diffusion coefficients (in the present paper turbulence is assumed to be homogeneous) which is based upon wavelet decomposition which separates the mean and oscillatory (random) parts of Lagrangian
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f5d0e9a72392dc72977b057a95d1cf8a
https://doi.org/10.1016/j.ocemod.2019.03.011
https://doi.org/10.1016/j.ocemod.2019.03.011
Publikováno v:
Fluids, Vol 6, Iss 111, p 111 (2021)
Fluids
Volume 6
Issue 3
Fluids
Volume 6
Issue 3
Using discrete wavelets, a novel technique is developed to estimate turbulent diffusion coefficients and power exponents from single Lagrangian particle trajectories. The technique differs from the classical approach (Davis (1991)’s technique) beca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c6eeae3e5392eb9eb83f1c2e39b0edd5
https://www.mdpi.com/2311-5521/6/3/111
https://www.mdpi.com/2311-5521/6/3/111
Publikováno v:
Deep Sea Research Part II: Topical Studies in Oceanography. 151:115-128
The flow of the California Undercurrent (CUC) along the continental slope and its interaction with deeper offshore waters is studied using trajectories of 53 isobaric RAFOS. The floats were launched off central California and data collected between 1
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7852efffb8f598cfd48de1340625f8ab
https://doi.org/10.1016/j.dsr2.2018.04.010
https://doi.org/10.1016/j.dsr2.2018.04.010
Publikováno v:
Deep Sea Research Part II: Topical Studies in Oceanography. 151:37-48
The synoptic monthly gridded (SMG) world ocean database (WOD) were constructed with 1° × 1° horizontal resolution and 28 standard vertical levels from the surface to 3000 m deep using the optimal spectral decomposition technique. Monthly accelerat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d60d1c141e0a85cc8b70c1fd02209158
https://doi.org/10.1016/j.dsr2.2018.05.019
https://doi.org/10.1016/j.dsr2.2018.05.019
Autor:
Peter C. Chu, L. M. Ivanov
Publikováno v:
Nonlinear Processes in Geophysics, Vol 14, Iss 5, Pp 655-670 (2007)
A shallow-water model was used to understand model error induced by non-Gaussian wind uncertainty. Although the model was simple, it described a generic system with many degrees of freedom randomized by external noise. The study focused on the nontri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c63353176e0dc76f93285ed3fb84ef63
https://www.nonlin-processes-geophys.net/14/655/2007/
https://www.nonlin-processes-geophys.net/14/655/2007/
