GDAS CMAQ Preprocessor Documentation

Overview

The GDAS CMAQ Preprocessor is a tool for processing GDAS (Global Data Assimilation System) data for use with the CMAQ (Community Multiscale Air Quality) modeling system.

Features

  • Downloads GDAS data from NOAA AWS S3 repository

  • Processes GDAS grib2 files to extract total column ozone

  • Interpolates data to desired grid resolution

  • Outputs in CMAQ-compatible formats (NetCDF and ASCII)

  • Supports parallel downloads and processing

  • Configurable via YAML configuration files

Quick Start

  1. Install the package:

    conda install -c conda-forge grib2io netcdf4 numpy pyyaml requests tqdm xarray
pip install gdas-cmaqprep --no-deps

  2. Create a configuration file (config.yml)

  3. Run the processor:

    gdas-cmaqprep --config config.yml

For more detailed information, please see the Usage and Configuration pages.

Disclaimer

The United States Department of Commerce (DOC) GitHub project code is provided on an ‘as is’ basis and the user assumes responsibility for its use. DOC has relinquished control of the information and no longer has responsibility to protect the integrity, confidentiality, or availability of the information. Any claims against the Department of Commerce stemming from the use of its GitHub project will be governed by all applicable Federal law. Any reference to specific commercial products, processes, or services by service mark, trademark, manufacturer, or otherwise, does not constitute or imply their endorsement, recommendation or favoring by the Department of Commerce. The Department of Commerce seal and logo, or the seal and logo of a DOC bureau, shall not be used in any manner to imply endorsement of any commercial product or activity by DOC or the United States Government.

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