AWIPS Tips: Using Hotkeys in CAVE
12 June 2024
Welcome back to AWIPS Tips!
Today we're going to take a look at some of the most useful shortcuts in CAVE – keyboard hotkeys! Our documentation has an entire page dedicated to defining keyboard shortcuts in CAVE and can be an excellent reference. The keyboard shortcuts on that page are broken down into different times and places where those keys are active while using CAVE. For today's AWIPS Tips though, we'll just focus on some of the D2D Menu Shortcuts.
[Read More]Convolutional Neural Networks (CNNs) for Earth Systems Science
06 June 2024
Convolutional Neural Networks (CNNs) are a powerful class of deep learning models widely applied in Earth science for image analysis, classification, and regression problems. Leveraging the Keras framework in python, CNNs can efficiently process and extract spatial features from 2D and 3D remote sensing, model output, and other Earth Systems Science (ESS) data types.
[Read More]AWIPS Tips: Plotting NEXRAD Data in Python
29 May 2024
Welcome back to AWIPS Tips!
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.
[Read More]Apply Now For NSF Faculty Travel Grants
24 May 2024
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.
[Read More]Why is the Keras 3 Release a Big Deal for the Deep Learning Community?
18 April 2024
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.
[Read More]
All
Community
(448)
Jobs
(181)
Unidata
(213)
Data
(60)
News
(8)
Software
(0)
AWIPS
(130)
Decoders
(0)
GEMPAK
(18)
IDV
(49)
LDM
(17)
McIDAS
(14)
NetCDF
(143)
NetCDF-Java
(30)
RAMADDA
(6)
TDS
(44)
UDUNITS
(3)
Events
(23)
LDM-McIDAS
(1)
LibCF
(1)
NetCDF-Perl
(0)
Python
(20)
Rosetta
(1)
Cloud
(6)
MetPy
(45)
