Property:Description of your CSDMS-related interests member

From CSDMS

This is a property of type Text.

Showing 20 pages using this property.
I
- Numerical Forward Modeling - Seismic Forward Modeling - Carbonate platform in sin-rift setting  +
F
- PhD in Environmental Sciences - hydrodynamic modelling of transitional and coastal areas - involved in the Preparatory Phase project for the DANUBIUS Research Infrastructure - Modelling Node and Po Delta and North Adriatic Lagoons Supersite (www.danubius-ri.eu/).  +
H
- Terrestrial ecosystem modeling and assimilation of multi-source remote sensing data to improve these models.  +
B
- distributed rainfall-runoff model - urban storm runoff model  +
M
1) Glacial retreat and advances 2) Isostasy and glacio-isostatic modelling 3) Interactions between tectonics and volcanism 4) Links between surface processes (particularly erosion and volcanic/glacial loading) and subsurface crustal response 5) Volcanic hazard mapping and pyroclastic flow modelling 6) Ice sheet - Subglacial volcano - Climate - Crust feedback cycles  +
S
1) use of models to explore coastal and submarine morphodynamics for teaching and research 2) use of models to explore evolution of sedimentary fabric and structure for education and research  +
H
3D hydrodynamics numerical model developing  +
D
A farame work coupoling ofr Topoflow and the WRF model.  +
B
A quantitative understanding of marine systems from the continental shelf to the supratidal zone, with a focus on estuarine morphodynamics  +
P
ADCIRC  +
M
Active tectonics, topographic evolution  +
A
After my professional experience (17 years) as a university professor of a wide spectrum of disciplines (e.g., Ecology, General Microbiology, Human Anatomy and Physiology, Cell Biology, Classical Genetics and Evolutionary Biology), I became aware of the necessity of developing an interdisciplinary understanding of ecosystem functioning based on physics. Therefore, my current research activity is addressed to develop a general model of ecosystem functioning based on plausible theoretical links between principles of ecosystem ecology, thermodynamics, thermostatistics and quantum mechanics. The main part of the results from this effort are included in several articles published in the journal Ecological Modelling. The main advantage of the above-mentioned set of models is its validity for almost any kind of ecosystem following a fractal structure. From my research experience in economics, it seems to be that this model, with certain modifications, could be also useful to understand macroeconomics performance as well as economic development processes, in a sort of TOE which would interconnect Physics, Biology and Social Sciences.  +
T
Agent Based Modelling  +
K
Agent-based modeling of complex systems and applications toward sustainable development, co-generation of knowledge, and decision making.  +
J
Agricultural/Environmental Modeling  +
A
Aid in advancing/refining landscape evolution & hydrology models as a result of their outputs when applied to my geomorphic research.  +
I
All models providing results on coastal : wave, current, water level, morphodynamics, shoreline evolution. From small to large scales.  +
B
Am very interested in hydrological modeling and surface runoff at the global scale.  +
S
An internal bore is a type of large-scale geophysical flow where a shock-like height discontinuity propagates along an interface between two fluids of different densities. Internal bores are responsible for many complex and interesting atmospheric and oceanographic phenomena. The most visually striking and well-known example of an internal bore is the Morning Glory cloud formation off the northern coast of Australia (pictured at left), which is formed by the interaction of a sea-breeze with a temperature inversion layer. Internal bores can also be formed in the atmosphere by cold outflows from thunderstorms. In marine environments, internal bores can arise from several mechanisms such as the interaction of the tides with ocean floor topography, or by gravity current flows past submarine obstacles. For the last 60 years, people have been developing and refining analytical models to describe the propagation of internal bores. If the densities of the two fluids are very different, as is the case for a tidal bore, which propagates along an interface between water and air, a very accurate model describing a bore's propagation as a function of its size can be obtained by conserving mass and momentum across a control volume encompassing the more dense layer of fluid. However, if the densities are very similar, the upper fluid cannot be neglected. In this case, there is not enough information to come up with a closed form model from a control volume analysis unless we make some assumption about the energy loss across the bore. That's where we come in. To gain insight into how energy evolves and dissipates within an internal bore, we simulate them using two and three-dimensional direct numerical simulations. An example of one of our two-dimensional simulations is shown below. These simulations allow us to directly measure the energy and how it evolves as the bore propagates. Based on our results, we are able to propose a new analytical model for internal bores which takes into account mixing at the interface between the two layers. Our new model accurately predicts internal bore's propagation velocities, and can also predict the amount of energy lost to mixing. These results will soon be published in the Journal of Fluid Mechanics. We are now working on extending our model and simulations to non-Boussinesq internal bores so we can bridge the gap between Boussinesq and single-layer bores.  
T
Anthropogenic activities on tidal range variations in the Delaware River  +