Linked from
The 56 pages that link to Numerical weather prediction, each with the reason it gives.
Weather forecastingBroader topic: It turns atmospheric observations and physical laws into time-evolving forecasts.
John von NeumannRelated: Von Neumann championed digital computation for weather forecasting and helped organize early efforts.
Orographic precipitationNarrower topic: Forecast systems must represent terrain and uplift to predict this precipitation.
Climate modelRelated: Its equations and computational methods overlap with climate simulation, though forecasts target shorter timescales.
Orographic liftRelated: Models represent terrain and airflow to estimate where orographic precipitation will fall.
Finite differenceRelated: Operational weather models use grid-based numerical schemes, including finite difference methods.
Finite difference methodRelated: Atmospheric models discretize differential equations across spatial grids and time steps.
Jet streamRelated: Forecast models track jet-stream structure to predict storm paths and rapid weather changes.
MeteorologyRelated: It applies meteorological theory to produce forecasts from observations and models.
Sea surface temperatureRelated: Forecast systems use SST as a lower-boundary condition over the oceans.
High-performance computingRelated: Forecast models require extensive computation to evolve atmospheric states across space and time.
Flood forecastingRelated: Forecast rainfall provides a key upstream input to many flood predictions.
Weather satelliteRelated: Satellite measurements help define the starting atmospheric state for model forecasts.
FortranBroader topic: Many operational and research weather models contain substantial Fortran code.
SnowRelated: Forecast models estimate where snow will fall and how much will accumulate.
WeatherBroader topic: It converts measurements and atmospheric physics into detailed forecasts.
AtmosphereBroader topic: It turns observed atmospheric states into quantitative forecasts.
Climate modelingCompared with: Weather prediction emphasizes accurate initial conditions and short forecasts; climate modeling examines long-term statistics and forced change.
Geostrophic windRelated: Geostrophic balance informs approximations and diagnostics used in large-scale atmospheric modeling.
Lorenz systemRelated: Lorenz encountered sensitive dependence while studying simplified atmospheric prediction.
Ensemble forecastingNarrower topic: Ensemble forecasts repeatedly run weather-prediction models to sample possible atmospheric outcomes.
Lake-effect snowNarrower topic: Models estimate lake-effect band placement, though small shifts can change local totals.
Data assimilationNarrower topic: It is a major modeling setting in which data assimilation initializes evolving simulations.
SupercomputerRelated: Weather forecasts require repeated calculations over large three-dimensional grids.
Cirrus cloudRelated: Forecast models must represent cirrus formation and persistence to simulate upper-level moisture and radiation.
NowcastingCompared with: Nowcasting often relies more on live observation and short-term extrapolation than longer-range model forecasts.
TroposphereRelated: Models represent tropospheric processes to predict storms and evolving weather systems.
Weather mapRelated: Model forecasts provide the future fields shown on prognostic weather maps.
AnticycloneRelated: Models predict anticyclone movement, persistence, and interactions with other weather systems.
Japan Meteorological AgencyRelated: JMA runs numerical models to turn observations into forecasts and hazard guidance.
Synoptic meteorologyRelated: It extends synoptic diagnosis into quantitative forecasts of system movement and development.
Extreme weatherRelated: Models help project storm tracks, rainfall, wind, and heat.
Satellite meteorologyRelated: Satellite radiances and derived observations initialize and constrain forecasts, especially over oceans.
Severe weather warningRelated: Forecast models help identify developing hazards and estimate where they may travel.
Tropical cyclone forecastingNarrower topic: Global and regional simulations supply the evolving storm and environment forecasts used in cyclone guidance.
Winter stormRelated: Models estimate a storm's track, intensity, and precipitation distribution.
Surface weather analysisCompared with: Model output predicts future conditions; surface analysis diagnoses observed conditions.
Vector processorRelated: Weather models perform extensive array-based calculations suited to vector operations.
Vilhelm BjerknesRelated: Bjerknes proposed the physical and mathematical basis for prediction, though computers were needed to make it practical.
Butterfly effectRelated: The effect became vivid when rounding a weather-model input changed a later forecast.
Jean BartikRelated: ENIAC’s wartime calculations helped demonstrate electronic computing’s potential for scientific problems.
Mesoscale meteorologyRelated: Forecast models must represent mesoscale dynamics and resolve their evolving structures.
Tropical cyclone track forecastingNarrower topic: Most operational track guidance comes from simulations of the evolving atmosphere.
Weather frontRelated: Models predict frontal movement and the weather produced along its boundary.
Atmospheric dispersion modelingRelated: Dispersion systems may use weather forecasts as input, but do not themselves primarily predict weather.
Atmospheric scienceBroader topic: Atmospheric equations become operational forecasts through numerical models.
Betty HolbertonRelated: Weather calculations were among the demanding problems ENIAC programmers learned to run.
Douglas HartreeRelated: Hartree applied computational expertise to early efforts at forecasting weather numerically.
Edward Norton LorenzRelated: Lorenz encountered sensitivity while examining computer-based weather forecasts.
Hydrological modelingRelated: Its precipitation and temperature forecasts can provide forcing for hydrological simulations.