In this Letter, we reveal a new dynamical phenomenon, called "spatiotemporal resonance," which is expected to take place in a broad range of viscous, periodically forced, open systems. The observation originates from a numerical and theoretical analysis of a micromixer, and is supported by preliminary experimental observations. The theoretical model nicely matches the numerical results, which a...

Many ecological systems exhibit multi-year cycles. In such systems, invasions have a complicated spatiotemporal structure. In particular, it is common for unstable steady states to exist as long-term transients behind the invasion front, a phenomenon known as dynamical stabilisation. We combine absolute stability theory and computation to predict how the width of the stabilised region depends o...

Wildfires are one of the major problems in Mediterranean countries, and much effort is done by the governments to dissuade people from starting fires. Public campaigns often promote the idea that the more ignitions the larger the surface burnt will be. This reasoning is, however, not so straightforward. This paper addresses the question of how fire frequency relates to the total area burnt by u...

Hydrologic models can be categorized as being either Newtonian or Darwinian in nature. The Newtonian approach requires a thorough understanding of the individual physical processes acting in a watershed in order to build a detailed hydrologic model based on the conservation equations. The Darwinian approach seeks to explain the behavior of a hydrologic system as a whole by identifying simple an...

Counting the number of social media posts on a target phenomenon has become a popular method to monitor a spatiotemporal signal. However, such counting is plagued by biased, missing, or scarce data. We address these issues by formulating signal recovery as a Poisson point process estimation problem. We explicitly incorporate human population bias, time delays and spatial distortions, and spatio...

Major severe weather events can cause a significant loss of life and property. We seek to revolutionize our understanding of and ability to predict such events through the mining of severe weather data. Because weather is inherently a spatiotemporal phenomenon, mining such data requires a model capable of representing and reasoning about complex spatiotemporal dynamics, including temporally and...

Major severe weather events can cause a significant loss of life and property. We seek to revolutionize our understanding of and ability to predict such events through the mining of severe weather data. Because weather is inherently a spatiotemporal phenomenon, mining such data requires a model capable of representing and reasoning about complex spatiotemporal dynamics, including temporally and...

Nowadays, the geographic metadata are defined by ISO standards and their particular goal is to assist the data exchange between different users and to provide the data quality information. However, these metadata are defined for static data processed by traditional applications. Such metadata do not take into consideration the qualification of dynamic data resulting from mobile and agile object...

In order to get a more complete insight into the transport processes, zonal flow dynamics and the nature of stochasticity in toroidal systems (helical and tokamak) we analyze nonlinear gyrokinetic Vlasov simulation (GKV) results for the tokamak and the standard and the inward shifted helical configurations from the aspect of nonlinear dynamic systems theory. In both the tokamak and the helical ...

Nowadays, the geographic metadata are defined by ISO standards and their particular goal is to assist the data exchange between different users and to provide the data quality information. However, these metadata are defined for static data processed by traditional applications. Such metadata do not take into consideration the qualification of dynamic data resulting from mobile and agile object...