This diagnostics package is constructed for supporting the diagnostics task of DOE's Accelerated Climate Modeling for Energy (ACME) project. The goal of this work is to develop a comprehensive diagnostics package that:
- fully integrates the functionality of NCAR's AMWG diagnostics package.
- utilizes most updated observational datasets, including remote sensing, reanalysis and in-situ datasets.
- interfaces with diagnostics developed from different ACME focus groups: atmosphere group, coupled simulation group, land group.
- interacts effectively with the PCMDI's metrics package and the ARM diagnostics package through a unifying framework: Community Diagnostics Package (CDP).
- is flexible for user specified diagnostics and being configured for use by other climate models.
Algorithm and visulization codes for the AMWG Set 5, 7, 4, 3, 13 diagnostics, namely lat-lon contour plots (Figure 1), polar contour plots (Figure 2), zonal mean 2d plots (Figure 3), zonal mean line plots (Figure 4), and 2d joint histogram for COSP cloud simulator output (Figure 5), for climatology seasonal means, are done for testing.
The package features built-in user diagnostics, by specifying user desired diagnostics regions and pressure levels for variables with the vertical dimension.
Figure 1: An example of the lat-lon contour plots for air temperature at 850 mb with tropical ocean region considered
- Quickstart guide for AIMS4
- Installation, Basic Configuration, and Running
- More Configuration
- Defining Parameters and All Available Parameters
- Adding User Diagnostics
- List of Built-in Derived Variables - look for
derived_variablesaround line 190
- CDP Viewer documentation