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What's new in the Atmospheric Model Evaluation Tool (AMET) version 1.3
Citation:
Appel, W. AND R. Gilliam. What's new in the Atmospheric Model Evaluation Tool (AMET) version 1.3. 16th Annual CMAS Conference, Chapel Hill, North Carolina, October 23 - 25, 2017.
Impact/Purpose:
Meteorological and air quality modeling is critical to EPA for a number of reasons, including rule making, assessing health impacts and benefits, and many other areas of research where air quality modeling is involved. In order to establish confidence in the models being used by the EPA, evaluation of the meteorological and air quality models is necessary. As the name suggests, the Atmospheric Model Evaluation Tool provides a tool to the EPA and the modeling communities to perform model evaluation of both air quality and meteorological models. Specifically, the work documented here provides an update to the community on the latest release version of AMET (version 1.3), which is widely used across parts of ORD and OAR, and is increasing in use across the broader air quality modeling community.
Description:
A new version of the Atmospheric Model Evaluation Tool (AMET) has been released. The new version of AMET, version 1.3 (AMETv1.3), contains a number of updates and changes from the previous of version of AMET (v1.2) released in 2012. First, the Perl scripts used in the previous versions of AMET have been replaced with R scripts, thereby removing the requirement to have Perl and Perl modules installed in order to use AMET. Second, several of the run scripts in AMET have been consolidated and input files removed from the system, resulting in enhanced functionality and greater ease of use. Single run scripts for the meteorological and air quality sides of AMET are now responsible for database and project creation, and populating the project with data. On the meteorological side of AMET, analysis of data from the Model for Prediction Across Scales (MPAS) is now supported. On the air quality side, there is now support for the AMON and FLUXNET networks. In addition, there is now a “batch” analysis option available, which will execute a user defined suite of analysis scripts (from none to all) with limited customization. A number of other updates and bug fixes have been incorporated in AMETv1.3, resulting in a system that is overall easier to install and use. Finally, AMETv1.3 has been ported to the GitHub repository, making code and script updates easier in the future and providing a mechanism for the user community to easily contribute their own codes and scripts to AMET. This presentation will cover all the updates discussed above and provide a brief demonstration of AMETv1.3.
