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26
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Introduction
Additional affiliations
March 2019 - present
DLR
Position
- Project Manager
December 2015 - February 2019
August 2013 - December 2013
Publications
Publications (26)
Causal inference in dynamical systems is a challenge for different research areas. So far it is mostly about understanding to what extent the underlying causal mechanisms can be derived from observed time series. Here we investigate whether anomalous events can also be identified based on the observed changes in causal relationships. We use a param...
Causal inference in dynamical systems is a challenge for different research areas. So far it is mostly about understanding to what extent the underlying causal mechanisms can be derived from observed time series. Here we investigate whether anomalous events can also be identified based on the observed changes in causal relationships. We use a param...
The detection of multivariate extreme Events is crucial to monitor the Earth system and to analyze their impacts on ecosystems and society. Once an abnormal event is detected, the following natural question is: what is causing this anomaly? Answering this question we try to understand these anomalies, to explain why they happened. In a previous wor...
Detecting abnormal events within time series is crucial for analyzing and understanding the dynamics of the system in many research areas. In this paper, we propose a methodology to detect these anomalies in multivariate environmental data. Five biosphere variables from a preliminary version of the Earth System Data Cube have been used in this stud...
Automatic detection of anomalies in space- and time-varying measurements is an important tool in several fields, e.g., fraud detection, climate analysis, or healthcare monitoring. We present an algorithm for detecting anomalous regions in multivariate spatio-temporal time-series, which allows for spotting the interesting parts in large amounts of d...
Today, many processes at the Earth's surface are constantly monitored by multiple data streams. These observations have become central to advancing our understanding of vegetation dynamics in response to climate or land use change. Another set of important applications is monitoring effects of extreme climatic events, other disturbances such as fir...
We present new methods for batch anomaly detection in multivariate time series. Our methods are based on maximizing the Kullback-Leibler divergence between the data distribution within and outside an interval of the time series. An empirical analysis shows the benefits of our algorithms compared to methods that treat each time step independently fr...
We present new methods for batch anomaly detection in multivariate time series. Our methods are based on maximizing the Kullback-Leibler divergence between the data distribution within and outside an interval of the time series. An empirical analysis shows the benefits of our algorithms compared to methods that treat each time
step independently fr...
El objetivo de este estudio es la determinación del valor de cota de inundación de periodo de retorno de 100 años en la zona de Hyères. Para ello, se compara una versión simplificada de la metodología propuesta por Gouldby et al. (2014) con otra basada en el uso del software Join Sea (Hawkes and Gouldby. 2002).
In this study, a method to obtain local wave predic-tor indices that take into account the wave generation process is described and applied to several locations. The method is based on a statistical model that relates significant wave height with an atmospheric predictor, defined by sea level pressure fields. The predictor is composed of a local an...
Extreme sea conditions in the nearshore zone are required for coastal flood risk analysis and structural design. Many multivariate extreme value methods that have been applied in the past have been limited by assumptions relating to the dependence structure in the extremes. A conditional extremes statistical model overcomes a number of these previo...
The increasing number of accidental oil spills has motivated the development and implementation of operational oceanography systems (OOS) to help in the decision process during oil spill emergency situations. Currently, most of the national and regional OOS have been setup for short-term (up to 5 days) oil spill forecast. However, recent accidental...
Engineering design of structural elements entails the satisfaction of different requirements during each of the phases that the structure undergoes: construction, service life and dismantling. Those requirements are settled in form of limit states, each of them with an associated probability of failure. Depending on the consequences of each failure...
Accurate wave climate characterization, which is vital to understand wave-driven coastal processes and to design coastal and offshore structures, requires the availability of long term data series. Where existing data are sparse, synthetically generated time series offer a practical alternative. The main purpose of this paper is to propose a method...
The design of maritime structures requires information on sea state
conditions that influence its behavior during its life cycle. In the
last decades, there has been a increasing development of sea databases
(buoys, reanalysis, satellite) that allow an accurate description of the
marine climate and its interaction with a given structure in terms of...
Autoregressive logistic regression models have been successfully applied in medical and pharmacology research fields, and in simple models to analyze weather types. The main purpose of this paper is to introduce a general framework to study atmospheric circulation patterns capable of dealing simultaneously with: seasonality, interannual variability...
A coastal structure is usually designed with the final objective to guarantee its functionality and stability throughout its life cycle. Regarding stability, the three main failure modes are sliding, overturning and failure of the foundations. To accomplish the design objectives, a design sea state is usually used when calculating the loads and sco...
The design of offshore wind farms is a complex process which requires a detailed study of the oceanographic, meteorological, geological and electrical conditions at the site of location. The main environmental conditions which may contribute to structural damages, operation disturbances or other failures are: wind, waves, currents and sea ice. Thus...
Wave breaking is mainly a three-dimensional flow problem characterized by wave energy dissipation due to turbulence. The understanding of the wave breaking mechanism on a beach is essential in studying coastal processes. The complexity of the wave-induced turbulence flow is also increased by the presence of a two-phase flow, which introduces buoyan...
