My project addresses statistical and stochastic problems in the following fields: Lagrangian prediction (1), Lagrangian data assimilation (2), development and validation of Lagrangian stochastic models (LSM) (3). The long range scientific objectives of this study comprise rigorous determining limits of predictability for Lagrangian motion in semi-enclosed seas, littoral zones, and straits on time scales of days and weeks, elaborating concrete prediction schemes, developing optimal Lagrangian data assimilation algorithms, and identification of multi particle stochastic models aimed at incorporating them to ocean circulation models (OCM)
International audienceWithin the framework of the Global Ocean Data Assimilation Experiment, an incr...
A novel method for three-dimensional variational assimilation of Lagrangian data with a primitive-e...
The increasing realism of ocean circulation models is leading to an increasing use of Eulerian model...
My project addresses statistical and stochastic problems in the following fields: Lagrangian data a...
The long term goals of this proposal are to advance the understanding of nonlinear processes in ocea...
We examine, with recently developed Lagrangian tools, altimeter data and numerical simulations obtai...
The long-term goal of this research is to improve our ability to understand and predict environmenta...
Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2018.Cata...
ŽThe predictability of Lagrangian particle trajectories in the Adriatic Sea a semi-enclosed sub-basi...
International audienceWithin the framework of Global Ocean Data Assimilation Experiment (GODAE), an ...
Where, when, and what to sample, and how to optimally reach the sampling locations, are critical que...
sen as case study to analyze Lagrangian trajectory predictability by means of a dynamical systems ap...
LONG-TERM GOALS: This project addressed the following aspects of ocean model predictability:(i) usin...
We are interested in describing and understanding the processes that influence individual particle t...
A new parametric approach for the study of Lagrangian data is presented. It provides parameter estim...
International audienceWithin the framework of the Global Ocean Data Assimilation Experiment, an incr...
A novel method for three-dimensional variational assimilation of Lagrangian data with a primitive-e...
The increasing realism of ocean circulation models is leading to an increasing use of Eulerian model...
My project addresses statistical and stochastic problems in the following fields: Lagrangian data a...
The long term goals of this proposal are to advance the understanding of nonlinear processes in ocea...
We examine, with recently developed Lagrangian tools, altimeter data and numerical simulations obtai...
The long-term goal of this research is to improve our ability to understand and predict environmenta...
Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2018.Cata...
ŽThe predictability of Lagrangian particle trajectories in the Adriatic Sea a semi-enclosed sub-basi...
International audienceWithin the framework of Global Ocean Data Assimilation Experiment (GODAE), an ...
Where, when, and what to sample, and how to optimally reach the sampling locations, are critical que...
sen as case study to analyze Lagrangian trajectory predictability by means of a dynamical systems ap...
LONG-TERM GOALS: This project addressed the following aspects of ocean model predictability:(i) usin...
We are interested in describing and understanding the processes that influence individual particle t...
A new parametric approach for the study of Lagrangian data is presented. It provides parameter estim...
International audienceWithin the framework of the Global Ocean Data Assimilation Experiment, an incr...
A novel method for three-dimensional variational assimilation of Lagrangian data with a primitive-e...
The increasing realism of ocean circulation models is leading to an increasing use of Eulerian model...