adam-atmos 0.2.1

A proof of concept for a digital twin for the Argonne Testbed for Multiscale Observational Studies. This initial package contains a model that determines the lakebreeze front location from the 0.5 degree scan of the NEXRAD radar.

ADAM is the ATMOS Analogue Digital Twin, a Python package that provides tools and predictive models for analyzing lake breezes using NEXRAD radar data. This initial package contains a model that determines the lake breeze front location from the 0.5 degree scan of the NEXRAD radar.

Installation

The recommended way to install ADAM is via pip. This will ensure you get the latest stable release and all required dependencies:

pip install adam-atmos

Getting Started

After installation, you can import ADAM in your Python scripts or notebooks:

import adam

ADAM includes a predictive model for detecting and analyzing lake breezes from NEXRAD radar data. See the documentation and example notebooks for usage details.

Links

• Documentation: https://rcjackson.github.io/adam/

• Source code: https://github.com/rcjackson/adam

• Free software: BSD license

• Documentation: https://adam.readthedocs.io.

Features

• Lake breeze detection from NEXRAD radar data using deep learning models.

• Easy-to-use API for loading and processing radar data.

• Example notebooks demonstrating functionality.

Credits

This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.