Today we're going to take a look at another python-awips example notebook. This notebook demonstrates how to work with radar data by investigating available radar sites and seeing what products are available for a given site. The plots created in this notebook are from NEXRAD 3 algorithm, precipitation, and derived product data, not the base data. If you are not familiar with python-awips, please feel free to check out our documentation or visit previous AWIPS Tips for python-awips.
A new U.S. National Science Foundation (NSF) funded faculty travel grant program will support up to 50 early-to-mid career faculty from under-resourced U.S. undergraduate-focused institutions, such as Emerging Research Institutions (ERIs), Minority Serving Institutions (MSIs), and community colleges (2YCs) to attend the fall AGU24 annual meeting in Washington, D.C.
Today we're going to discuss an alternative method to ingest data into EDEX outside of edexBridge. The most standard way of inserting data into the EDEX processing queue is by using the -edex command in your pqact entry when receiving data through the LDM.
Today we're going to walk through the process of saving user configurations and overrides locally. This process can be helpful to have a backup version of these files, if you are connecting to different EDEX servers, or an EDEX server was updated and no longer has your files.
The Keras package is an open-source library that provides a Python interface for deep learning. Keras is intended to be a user-friendly, modular, and extensible way to enable fast experimentation with deep neural networks. With Keras version 3, the package provides APIs for using three backends: TensorFlow, Jax, and PyTorch.
This week we are going to look at how to display a variety of text products generated by Warning Forecast Offices and are available in our AWIPS database. This functionality is new for our release of CAVE and did not previously work in v18.
