CERC — Environmental Software and Services
- Overview
- Air pollution modelling
- ADMS 6
- ADMS-Roads (Extra)
- ADMS-Urban
- MAQS
- ADMS-Airport
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- EMIT
- Wind energy and airflow
- FLOWSTAR-Energy
- Accidental releases
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- LSMS
- ADMS-Puff
- ADMS-STAR
- Managing model runs
- Run Manager
- Air quality forecasting
- ADMS-Forecast
- Model evaluation
- Model Evaluation Toolkit
- Meteorological data processing
- WRFtoMet
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WRFtoMet
Utility for extracting ADMS-format meteorological data from WRF mesoscale model output files
What is the WRFtoMet utility?
The WRFtoMet utility is a command line application which extracts meteorological data from WRF netCDF files and creates ADMS format .met files. It was originally developed for the MAQS (formerly RML) system but can also be used for generating .met files for stand-alone modelling runs. The output .met files produced by this utility can be used in any of the ADMS family of models, which includes ADMS 6, ADMS-Urban, ADMS-Roads, ADMS-Airport and FLOWSTAR-Energy.
The WRFtoMet utility extracts data from one grid cell in a WRF output file and writes an ADMS-format .met file. The plot shows surface heat flux values at 1 km resolution over Hong Kong.
The user specifies the location from which to extract data, which variables to extract, the start date and time and number of hours for the extraction. The location may be specified by grid indices or coordinates in lat-long or projected coordinates. If coordinate values are used, the map projection type must be Lambert Conformal Conic, Polar Stereographic or Universal Transverse Mercator. User inputs are supplied via a simple text file and command line arguments. Full details of the data requirements and user inputs are given in the utility User Guide.
Why use WRFtoMet?
Whilst the ADMS family of models are commonly run with measured meteorological data, modelled data, for example from WRF, can be used where measurements are unavailable. For instance, modelled meteorological data can be used to represent future climate scenarios in order to investigate the interactions between air quality and climate change; also, modelled meteorological data may be the only available option in remote areas.