Models

MONETIO supports reading output from several major atmospheric chemistry and transport models.

Unified Access

We recommend using the unified monetio.load() function:

import monetio as mio

# Load CMAQ data
ds = mio.load("cmaq", files="aqm.t12z.aconc.ncf")

Supported Models

CMAQ

Community Multiscale Air Quality Model.

• Source ID: cmaq

HYSPLIT

Hybrid Single-Particle Lagrangian Integrated Trajectory model.

• Source ID: hysplit (Concentration) or hytraj (Trajectories)
• Features:
  • Lazy loading via Dask.
  • Automatic grid continuity fixing.
  • Optimized mass loading calculations.

WRF-Chem

Weather Research and Forecasting model coupled with Chemistry.

• Source ID: wrfchem

UFS-AQM

Unified Forecast System with Chemistry.

• Source ID: ufs

NCEP GRIB

National Centers for Environmental Prediction (NCEP) GRIB2 model outputs.

• Source ID: ncep_grib: Generic NCEP GRIB2 reader.
• Source ID: gfs: Global Forecast System.
• Source ID: gefs: Global Ensemble Forecast System.
• Source ID: gdas: Global Data Assimilation System.
• Source ID: rrfs: Rapid Refresh Forecast System.
• Source ID: grib2: Standard GRIB2 files.

ICAP-MME

International Cooperative for Aerosol Prediction Multi-Model Ensemble.

• Source ID: icap_mme

PARDUMP

HYSPLIT Particle Dump files.

• Source ID: pardump

Other Models

• CAMx: Comprehensive Air Quality Model with extensions (camx)
• CHIMERE: Multi-scale chemistry-transport model (chimere)
• RAQMS: Realtime Air Quality Modeling System (raqms)