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Computational geophysics

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Through Remote sensing, Canada and University

Geophysical models

The generation of geophysical models are a key component of computational geophysics. Geophysical models are defined as "physical-mathematical descriptions of temporal and/or spatial changes in important geological variables, as derived from accepted laws, theories, and empirical relationships." Geophysical models are frequently used by researchers in all disciplines of environmental science.

In climate science, atmospheric, oceanic, and general circulation models are a crucial standby for researchers. Although remote sensing has been steadily providing more and more in-situ measurements of geophysical variables, nothing comes close to the temporal and geospatial resolution of data provided by models. Although data can be subject to accuracy issues due to the extrapolation techniques used, the usage of modeled data is a commonly accepted practice in climate and meteorological sciences. Oftentimes, these models will be used in concert with in-situ measurements.

A few well-known models are

  1. NCEP/NCAR Reanalysis Project, an atmospheric model
  2. Global Forecast System, a numerical weather prediction model
  3. HYCOM, a general ocean circulation model

Geological system models are frequently used in research, but have less public data availability than climatic and meteorological models. There is a wide range of software available that allows for geomodelling.

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