Gaussian process
Term · Meteorology and atmospheric science · MLC-T-MET-005890
A stochastic process where any finite collection of random variables has a multivariate normal distribution. In atmospheric science, it is used for statistical modeling of spatially or temporally correlated data, such as temperature fields or wind patterns. Gaussian processes provide a flexible framework for interpolation, prediction, and uncertainty quantification in meteorological applications.
| Identifier | MLC-T-MET-005890 |
|---|---|
| Field | Meteorology and atmospheric science |
| Synonyms | stationary Gaussian process; stationary Gaussian time series |
Record as JSON
{
"id": "MLC-T-MET-005890",
"term": "Gaussian process",
"field": "Meteorology and atmospheric science",
"definition": "A stochastic process where any finite collection of random variables has a multivariate normal distribution. In atmospheric science, it is used for statistical modeling of spatially or temporally correlated data, such as temperature fields or wind patterns. Gaussian processes provide a flexible framework for interpolation, prediction, and uncertainty quantification in meteorological applications.",
"synonyms": [
"stationary Gaussian process",
"stationary Gaussian time series"
],
"url": "https://mlchart.com/terminology/meteorology/gaussian-process/"
}
Record 3,993 of 10,756 in Meteorology and atmospheric science terminology (MLC-0110). Request the full dataset.