# wrf-model/WRF

The official repository for the Weather Research and Forecasting (WRF) model

Repository: https://github.com/wrf-model/WRF
Canonical: https://ross.abutalabs.com/products/wrf
Language: Fortran
License: NOASSERTION
License Family: other
Topics: wrf, weather, climate, forecast, nwp, model, simulation, fortran
Last push: 2026-07-27T19:02:10+00:00

## Health v2 (maintenance only)
Score: 82/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 94, release rhythm 55, longevity 100
- inputs: {"age_days": 3669, "days_push": 37, "days_rel": 86, "gap_med": 191, "n_releases_24m": 4}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1743, forks 875 (observed 2026-08-28T04:05:30.292914+00:00)

## What it is
The Weather Research and Forecasting (WRF) model is the official open-source numerical weather prediction system for atmospheric research and operational forecasting. It is a large Fortran-based modeling system maintained by NCAR/UCAR for simulating weather and climate at regional scales.

## Use cases
- run regional numerical weather prediction forecasts
- simulate atmospheric conditions for research
- model weather at mesoscale for climate studies
- produce high-resolution weather simulations
- study hurricane, storm, and convective weather events
- teach atmospheric modeling in academic settings

## When to choose
- you need a community-standard, peer-reviewed NWP model for research or operations
- you want an open-source, public-domain atmospheric simulation system
- you need mesoscale weather modeling with extensive documentation and user support

## When to avoid
- you need a simple weather data API rather than running your own model
- you lack HPC resources or Fortran build experience
- you need global climate modeling rather than regional weather simulation

## Facets
- artifact type: application
- maturity: active
- function: simulation
- domain: weather, simulation
- platform: cli
- tags: numerical-weather-prediction, fortran, atmospheric-modeling, nwp, research-model, linux, macos

## Member repositories
- wrf-model/WRF (main) score 82

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:30.292914+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:29:45.112324+00:00, confidence not recorded.
  - readme: https://github.com/wrf-model/WRF (fetched 2026-08-28T04:05:30.292914+00:00, sha 01d825620033)
- Data as of 2026-08-30T08:39:29.467469+00:00.