ModSimPredict.adoc

Modeling, Simulation and Prediction

Meta Trend	Big Data
Title	Modeling, Simulation and Prediction
Description	Simulation modelling is the process of creating and analyzing a digital prototype of a physical model to predict its performance in the real world. Models and simulation can be used for analysis and for training.
What is new or emerging?	Increases in development of Graphical Processing Units (GPU)s on computers and mobile devices is enabling, more on the fly modelling, simulation and prediction. Federation of Models: Integrated Environmental Modeling and JLVC - Joint Live Virtual and Constructive. Increased fidelity of predictive environmental models will provide increasingly realistic information for simulated situations.
Why might it matter?	Improved ability of M&S products and services to be better used by the community, and to further advance the vision of a common, comprehensive model of Earth. In scenarios such as Humanitarian disaster response, being able to process on the fly models, simulations, ensures more timely responses. Mod/Cim helps with dealing with the transition from data scarcity to data overabundance. Coordination of predictive model outputs and machine learning. Mod/SIM can used to support training of predictions/analysis.
Horizon	Next:
Impact	Sustaining:
Gartner Hype Curve phase
Technology Readiness Level
Discussion Issue	Discussion of Trend on GitHub
References	1. OGC CDB Standard 2. OGC Open Modelling Interface (OpenMI) Interface Standard 3. Exploration of Next Generation Technology Applications to Modeling and Simulation (ENGTAM) Standing Study Group (SSG) 4. From Maps to Models. National Academies report
Examples	URL to technology implementation examples
Geospatial Tech Category
OGC Working Groups