Numerical Weather Prediction (NWP)

Atmospheric Science

1. 1. Model equations & discretization

   Model equations & discretization: finite difference/volume/spectral ideas, stability (CFL)

   finite differencefinite volumespectral methodsCFL stability

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2. 2. Time stepping and filtering

   Time stepping and filtering; numerical diffusion and error growth

   time steppingfilteringnumerical diffusionerror growth

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3. 3. Parameterizations

   Parameterizations: PBL/turbulence, convection, microphysics, radiation, land-surface

   PBL turbulenceconvectionmicrophysicsradiation parameterizationland-surface

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4. 4. Initialization and lateral boundary conditions

   Initialization and lateral boundary conditions; nesting and regional models (e.g., WRF)

   initializationlateral boundary conditionsnestingregional modelsWRF

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5. 5. Verification

   Verification: bias, RMSE, anomaly correlation, ETS; ensemble/uncertainty basics

   biasRMSEanomaly correlationETSensembleuncertainty

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6. 6. Practical workflows

   Practical workflows: running a model, post-processing, interpreting forecast fields

   running a modelpost-processinginterpreting forecast fields

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