My project addresses statistical and stochastic problems in the following fields: Lagrangian data assimilation (1), Lagrangian prediction (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)
A novel method for three-dimensional variational assimilation of Lagrangian data with a primitive-e...
We are interested in describing and understanding the processes that influence individual particle t...
Lagrangian data arise from instruments that are carried by the flow in a fluid field. Assimilation o...
My project addresses statistical and stochastic problems in the following fields: Lagrangian predict...
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...
Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2018.Cata...
The long-term goal of this research is to improve our ability to understand and predict environmenta...
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 ...
International audienceWithin the framework of the Global Ocean Data Assimilation Experiment, an incr...
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...
Where, when, and what to sample, and how to optimally reach the sampling locations, are critical que...
A new parametric approach for the study of Lagrangian data is presented. It provides parameter estim...
A novel method for three-dimensional variational assimilation of Lagrangian data with a primitive-e...
We are interested in describing and understanding the processes that influence individual particle t...
Lagrangian data arise from instruments that are carried by the flow in a fluid field. Assimilation o...
My project addresses statistical and stochastic problems in the following fields: Lagrangian predict...
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...
Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2018.Cata...
The long-term goal of this research is to improve our ability to understand and predict environmenta...
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 ...
International audienceWithin the framework of the Global Ocean Data Assimilation Experiment, an incr...
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...
Where, when, and what to sample, and how to optimally reach the sampling locations, are critical que...
A new parametric approach for the study of Lagrangian data is presented. It provides parameter estim...
A novel method for three-dimensional variational assimilation of Lagrangian data with a primitive-e...
We are interested in describing and understanding the processes that influence individual particle t...
Lagrangian data arise from instruments that are carried by the flow in a fluid field. Assimilation o...