WRF

WRF (Weather Research and Forecasting) is a regional numerical weather and climate model framework widely used for both short-range weather prediction and process-oriented climate applications. In research settings, it is often used for dynamical downscaling, sensitivity experiments, and high-resolution studies in complex terrain.

In this garden, WRF is the main tool for downscaling large-scale atmospheric conditions into meso-scale regional diagnostics for both tropical island and Central European applications. It supports nested domains, many interchangeable physics packages, and nonhydrostatic simulation through the ARW core.

Why WRF is useful

• It can resolve terrain, coastlines, and land-surface contrasts much better than global datasets.
• It allows targeted sensitivity experiments on cloud, boundary-layer, land-surface, and radiation parameterizations.
• It provides a common framework for linking observations, reanalysis forcing, and process interpretation.

Core workflow

Typical use in this vault follows a sequence like:

1. Start from large-scale forcing such as ERA5 reanalysis.
2. Configure domains and physics for the problem of interest.
3. Run nested simulations to capture the regional response.
4. Evaluate output against observations or derived diagnostics.
5. Interpret the added value relative to coarser products.

What determines model behavior

WRF results depend strongly on domain design, boundary conditions, surface representation, and parameterization choices. For tropical hydroclimate applications, the most influential choices often involve cumulus convection, planetary boundary-layer physics, radiation, and land-surface coupling.

Core modeling notes

• ARW core
• tropical WRF setup
• DARWIN WRF experiment suite
• Cumulus convection schemes
• WRF planetary boundary layer schemes
• WSM 6-class graupel scheme

Physics components

• RRTMG
• Noah land surface model
• Yonsei University scheme
• MYNN PBL scheme

Example applications

• Galapagos refined analysis
• CER v2

In this garden

The DARWIN branch uses WRF to study the Galapagos hydroclimate response to local SST structure, cloud regime shifts, and elevation-dependent moisture gradients. The Central Europe branch uses WRF-based downscaling to derive long-term regional climate products such as CER v2.

See also: Dynamical downscaling, tropical WRF setup, DARWIN WRF experiment suite, MOC Atmospheric Model Physics, MOC Regional and Urban Climate Modeling