19 citations · 83 across the 15 of their papers we have counts for
15 papers
Probabilistic Measures for Biological Adaptation and Resilience
Jorge M. Ramirez, Juan M. Restrepo, Valerio Lucarini +1
This paper introduces a novel approach to quantifying ecological resilience in biological systems, particularly focusing on noisy systems responding to episodic disturbances with s…
Variable resolution Poisson-disk sampling for meshing discrete fracture networks
Johannes Krotz, Matthew R. Sweeney, Jeffrey D. Hyman +2
We present the near-Maximal Algorithm for Poisson-disk Sampling (nMAPS) to generate point distributions for variable resolution Delaunay triangular and tetrahedral meshes in two an…
Uncertainty in Climate Science: Not Cause for Inaction
Juan M. Restrepo, Michael E. Mann
Using observational data and an elementary rigorous statistical fact it is easily shown that the distribution of Earth's climate is non-stationary. Examination of records of hundre…
Homotopy Sampling, with an Application to Particle Filters
Juan M. Restrepo, Jorge M. Ramirez
We propose a homotopy sampling procedure, loosely based on importance sampling. Starting from a known probability distribution, the homotopy procedure generates the unknown normali…
Rain Calms the Sea - The Impact of Entrained Air
Juan M. Restrepo, Alex Ayet, Luigi Cavaleri
We propose a mechanism for the damping of short ocean gravity waves during rainstorms associated with the injection of air bubbles by rain drops. The mechanism is proposed as one o…
Transport due to Transient Progressive Waves
Juan M. Restrepo, Jorge M. Ramirez
We describe and analyze the mean transport due to transient progressive waves, including breaking waves. The waves are packets and are generated with a boundary-forced air-water tw…
Dynamic Likelihood Filter
Juan M. Restrepo
A Bayesian data assimilation scheme is formulated for advection-dominated or hyperbolic evolutionary problems, and observations. The method is referred to as the dynamic likelihood…
Mass Exchange Dynamics of Surface and Subsurface Oil in Shallow-Water Transport
Saeed Moghimi, Jorge Ramirez, Juan M. Restrepo +1
We formulate a model for the mass exchange between oil at and below the sea surface. This is a particularly important aspect of modeling oil spills. Surface and subsurface oil have…
Stochastic Longshore Current Dynamics
Juan M. Restrepo, Shankar C. Venkataramani
We develop a stochastic parametrization, based on a `simple' deterministic model for the dynamics of steady longshore currents, that produces ensembles that are statistically consi…
Dimension reduction for systems with slow relaxation
Shankar C. Venkataramani, Raman C. Venkataramani, Juan M. Restrepo
We develop reduced, stochastic models for high dimensional, dissipative dynamical systems that relax very slowly to equilibrium and can encode long term memory. We present a variet…
Displacement Data Assimilation
W. Steven Rosenthal, Shankar C. Venkataramani, Arthur J. Mariano +1
We show that modifying a Bayesian data assimilation scheme by incorporating kinematically-consistent displacement corrections produces a scheme that is demonstrably better at estim…
Defining a Trend for a Time Series Which Makes Use of the Intrinsic Time-Scale Decomposition
Juan M. Restrepo, Shankar C. Venkataramani, Darin Comeau +1
We propose criteria that define a trend for time series with inherent multi-scale features. We call this trend the {\it tendency} of a time series. The tendency is defined empirica…
Using Data to Tune Nearshore Dynamics Models: A Bayesian Approach with Parametric Likelihood
Nusret Balci, Juan M. Restrepo, Shankar C. Venkataramani
We propose a modification of a maximum likelihood procedure for tuning parameter values in models, based upon the comparison of their output to field data. Our methodology, which u…
Nearshore sticky waters
Juan M. Restrepo, Shankar C. Venkataramani, Clint Dawson
Wind- and current-driven flotsam, oil spills, pollutants, and nutrients, approaching the nearshore will frequently appear to park just beyond the break zone, where waves break. Mor…
Ensemble Dynamics and Bred Vectors
Nusret Balci, Anna L. Mazzucato, Juan M. Restrepo +1
We introduce the new concept of an EBV to assess the sensitivity of model outputs to changes in initial conditions for weather forecasting. The new algorithm, which we call the "En…