Environmental Context Server Features

The dynamic context server provides interactive content for environmental modeling. The models are contained within an ontolologically organized knowledgebase and so can be semantically accessed. The semantic organization allows various search mechanisms while the modeling domains are roughly grouped according to the icons described below. A context is defined as the surrounding environment for a specific intended use, such as for evaluating vehicle design or performance. Four foundational documents are available to understand the theory and architecture behind the context server.

Stochastic Modeling | Ontological Organization and Process Modeling

Fine Terrain Features - Models for representing power spectral densities (PSD) based on semi-Markov approaches. Models of obstacle courses and data sets for friction and soil types.
Gross Terrain Features - Simple distribution for sampling likelihood of terrain slopes. Marginal distributions for elevation changes over various geographic locations.
Wave Energy Statistics - Simple approach for modeling PDFs of wave frequencies and wave heights. Models of sea-state wave distributions over various geographic locations. Water density and buoyancy tables.
Wind Energy Statistics - General results for modeling wind energy distribution and autocorrelations for temporal persistence. Solar insolation models.
EMI Clutter Modeling - Maximum entropy models for E-M signals and noise. Models of lightning rate.
Inland-water Statistics - Maximum entropy estimation for lake size distributions and river flow rates over various regions.
Particle Size Statistics - General method for modeling size distribution of particulates such as ash and ice crystals, and water droplets.
Thermal Dispersion - Simplification of thermal diffusion model to account for disorder and variability in the media. Seasonal and daily temperature models.
Rainfall Statistics - General model for rainfall distributions within storms using composite process. Cloud size statistics.
Corrosion and Oxidation - Model of oxidation and corrosion growth which improves on the Deal-Grove formulation, using reversion-to-the-mean diffusion kinetics. Table of corrosive categories.
Fossil Fuel - Models of fossil fuel reservoirs and depletion. The Oil Shock Model and Dispersive Discovery improve on Hubbert's original estimates for finite resource limits.