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.
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.
The AWIPS software was originally developed to run on the RedHat Enterprise Linux (RHEL) operating system. RHEL is not free to use, and because of that NSF Unidata has historically used CentOS as our RHEL operating system of choice.
The MetPy development team is looking for anyone who has used MetPy to take the 2024 MetPy Users Survey. The survey should only take approximately 5-10 minutes and is completely anonymous.
Unidata offers computer equipment grants to support a variety of projects
The NSF Unidata Users Committee has decided to extend the deadline for the 2024 Equipment Awards solicitation until April 12, 2024. Institutions who submitted proposals by the original March 29 deadline are invited to amend their proposals and resubmit if they feel they would benefit from the extra preparation time. All other aspects of the 2024 program remain as described in the original announcement.
NSF Unidata is governed by its community. Our Strategic Advisory and Users committees facilitate consensus-building for future directions of the NSF Unidata Program and establish standards of involvement for the community. Direct involvement in the Program by the academic community helps NSF Unidata stay on top of trends in Earth Systems Science education and research; for example, recent initiatives on Python and cloud-based computing have benefited tremendously from committee advice and involvement.
Registration is open for the 2024 Pythia Cook-off! This U.S. National Science Foundation-funded hackathon for Cookbook development will grow participants' Python coding, communication, collaboration, and educational development skills, while expanding the collection of Pythia Cookbooks for the open source, open science community. Pythia Cookbooks are crowd-sourced collections of domain-specific tutorials and exemplar workflows, building on existing Pythia Foundations tutorials. Cookbooks are supported by a rich GitHub-based infrastructure enabling collaborative authoring and automated health-checking to ensure reproducibility.
This week we are going to look at how to customize contours for products in CAVE by changing the styleRules. Customizations include adjusting the color, line type, smoothing, interval, and range by creating a user override of the d2dContourStyleRules.xml file. We will walk through the different options and show an example of a customized contour for model surface temperatures.
The concept of Indigenous Data Sovereignty (IDS) asserts that data generated by Indigenous peoples, including data generated from their land and resources, should be governed by the people themselves. Environmental observations collected on native lands are one small part of the IDS context, and they were the subject of a recent workshop hosted by the Southwestern Indian Polytechnic Institute (SIPI) in Albuquerque, New Mexico.
