KI-Glossar
Das vollständige Wörterbuch der Künstlichen Intelligenz
Meteorological remote sensing
Technique for acquiring information about the atmosphere and meteorological phenomena at a distance using satellite or airborne sensors for environmental analysis.
Satellite georeferencing
Process of assigning precise geographic coordinates to meteorological satellite data to enable their integration into spatial information systems.
Atmospheric multispectral imaging
Simultaneous acquisition of images in multiple spectral bands to characterize the physical and chemical properties of the atmosphere and clouds.
Meteorological spatial interpolation
Statistical method for estimating meteorological variable values at unsampled points from georeferenced point data.
Atmospheric reanalysis
Numerical reconstruction of the historical state of the atmosphere combining past meteorological observations and forecast models to create consistent climate datasets.
Meteorological kriging
Optimal geostatistical interpolation method using spatial correlation structure to estimate meteorological fields with uncertainty quantification.
Spatiotemporal time series analysis
Statistical study of the temporal evolution of meteorological phenomena across space to identify trends, cycles, and climate anomalies.
Doppler radar data
Measurements of precipitation reflectivity and radial velocity using the Doppler effect to characterize the dynamics of meteorological systems in 3D.
Supervised classification of weather phenomena
Application of labeled machine learning algorithms to automatically identify cloud types, frontal systems, and other atmospheric structures.
Meteorological digital terrain model
3D representation of topography integrating meteorological parameters to model orographic effects on local atmospheric flows.
Satellite thermal mapping
Generation of surface and atmospheric temperature maps from infrared satellite data for monitoring urban heat islands and thermal phenomena.
Environmental change detection
Comparative analysis of temporal satellite images to identify and quantify changes in climatic and environmental parameters.
Multisource weather data fusion
Algorithmic integration of data from heterogeneous sensors (satellites, radars, ground stations) to improve the resolution and accuracy of meteorological analyses.
Geographically weighted regression
Statistical technique modeling relationships between meteorological variables with spatially varying coefficients to capture the heterogeneity of atmospheric processes.
Spatial ensemble forecasting
Generation of multiple spatial weather forecasts with perturbed initial conditions to quantify the probabilistic uncertainty of predictions.
Atmospheric convergence analysis
Study of air flow convergence zones from spatial data to identify regions prone to convective phenomenon development.
Radiative Budget Mapping
Spatial quantification of incoming and outgoing radiative energy fluxes in the atmosphere to understand local climate change mechanisms.