Human activity: A double-edged sword in the face of drought

Earth and environmental scientists have reported that, as human socio-economic activities increase, greenhouse gas emissions will rise, leading to more frequent extreme weather events such as droughts and floods. However, ...

A railroad of cells: Computer simulations explain cell movement

Looking under the microscope, a group of cells slowly moves forward in a line, like a train on the tracks. The cells navigate through complex environments. A new approach by researchers involving the Institute of Science ...

Establishing the age and origin of Jupiter's Great Red Spot

Research staff at the University of the Basque Country (UPV/EHU), the Universitat Politècnica de Catalunya—BarcelonaTech (UPC) and the Barcelona Supercomputing Center (CNS-BSC) have analyzed historical observations since ...

Q&A: Researcher discusses predicting the landslide in Brienz

The landslide in Brienz (GR) in 2023 kept Switzerland on tenterhooks for weeks. Researchers from ETH Zurich, WSL and SLF used a model to provide a highly accurate blind prediction of where the sliding mass would come to rest.

Astronomers' simulations support dark matter theory

Computer simulations by astronomers support the idea that dark matter—matter that no one has yet directly detected but which many physicists think must be there to explain several aspects of the observable universe—exists, ...

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Simulation & Modeling for Acquisition, Requirements, and Trainin

Simulation is the imitation of some real thing, state of affairs, or process. The act of simulating something generally entails representing certain key characteristics or behaviours of a selected physical or abstract system.

Simulation is used in many contexts, including the modeling of natural systems or human systems in order to gain insight into their functioning. Other contexts include simulation of technology for performance optimization, safety engineering, testing, training and education. Simulation can be used to show the eventual real effects of alternative conditions and courses of action.

Key issues in simulation include acquisition of valid source information about the relevent selection of key characteristics and behaviours, the use of simplifying approximations and assumptions within the simulation, and fidelity and validity of the simulation outcomes.

This text uses material from Wikipedia, licensed under CC BY-SA