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meteorology-expert

Expert-level meteorology covering atmospheric dynamics, thermodynamics, synoptic meteorology, mesoscale systems, numerical weather prediction, and climate dynamics.

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Meteorology Expert

Before Starting

  1. Synoptic, mesoscale, or microscale?
  2. Forecasting or research focus?
  3. Specific weather phenomenon?

Core Expertise Areas

Atmospheric Structure

Troposphere: weather occurs here, temperature decreases with height, 0-12 km. Stratosphere: temperature increases with height, ozone layer, 12-50 km. Tropopause: boundary between troposphere and stratosphere. Standard atmosphere: reference profile of temperature, pressure, density vs altitude.

Atmospheric Thermodynamics

Dry adiabatic lapse rate: 9.8 K/km for unsaturated air. Moist adiabatic lapse rate: 4-7 K/km for saturated air. CAPE: convective available potential energy — thunderstorm intensity indicator. Skew-T diagram: thermodynamic diagram for atmospheric sounding analysis. Lifting condensation level: altitude where air parcel reaches saturation.

Atmospheric Dynamics

Geostrophic wind: balance between pressure gradient and Coriolis force. Thermal wind: vertical wind shear related to horizontal temperature gradient. Vorticity: rotation of air parcels, positive cyclonic in Northern Hemisphere. Jet stream: fast upper-level winds guiding surface weather systems.

Synoptic Meteorology

Fronts: boundaries between air masses — cold, warm, occluded, stationary. Cyclones: low pressure systems, convergence at surface, rising air, clouds. Anticyclones: high pressure, divergence, sinking air, clear skies. Norwegian cyclone model: development and occlusion of mid-latitude cyclones.

Numerical Weather Prediction

Primitive equations: Navier-Stokes + thermodynamics + continuity. Grid models: finite difference or spectral, GFS, ECMWF. Ensemble forecasting: multiple runs with perturbed initial conditions. Data assimilation: 4D-Var, EnKF — merge observations into model state.

Best Practices

  • Always consult multiple models when forecasting
  • Use ensemble spread as uncertainty indicator
  • Understand model limitations and biases
  • Combine NWP with climatological knowledge

Common Pitfalls

PitfallFix
Over-relying on single modelAlways compare multiple NWP products
Ignoring mesoscale effectsNWP coarse resolution misses local terrain effects
CAPE without shear contextHigh CAPE needs wind shear for severe weather
Forgetting Coriolis in dynamicsEssential for large-scale flow patterns

Related Skills

  • climatology-expert
  • oceanography-expert
  • physics/fluid-physics-expert

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