asediag 1.2.0

Aerosol Diagnostics on Model Native Grid

Aerosol Diagnostics on Model Native Grid

Aerosol process analysis in model-native Spectral Element (SE) grid

Aerosol Diagnostics on Model Native Grid is a Python-based standalone tool designed for aerosol process analysis within the model-native spectral element (SE) grid. As such, it is also known as Aerosol SE Diagnostics or “asediag”. It includes functionalities for aerosol budget analysis, optical diagnostics, and decomposed anthropogenic aerosol radiative forcing analysis. The tool supports both SE and regular latitude-longitude (RLL) grids, and can operate in batch mode with multiprocessing capabilities.

Primary Developer & Maintainer: Taufiq Hassan

For Questions: [e-mail]

Contributors

Installation

Git clone the repo

git clone [e-mail]:TaufiqHassan/asediag.git

Submit as a batch job

asediag works with e3sm_unifed environment in Compy and Perlmutter.

Make adjustments in the batch configuration file batch_config.ini.

Submit the batch jobs with:

python submit_asediag_batches.py

Example

Demo output page

Acknowledgement

asediag is based on earlier developments in NCL and individual contributions from:

• Po-Lun Ma: Original budget analysis and diagnostics
• Jian Sun & Kai Zhang: Aerosol number and species per mode budget and spatial distribution analysis
• Jianfeng Li: Aerosol optics diagnostics
• Kai Zhang: Aerosol forcing diagnostics

Note: Currently undegoing small patchworks and further developments!