Welcome Summer Intern Ana Castaneda Montoya
17 June 2024
Ana Castaneda Montoya joined the NSF Unidata Program Center as a student summer intern on May 20, 2024; she received her Bachelor's degree in Physics from the University of Texas at Dallas the same week. She will be starting her graduate studies at the University of Michigan in August, where she'll pursue a PhD in Climate Science.
[Read More]Abstract Deadlines for AMS, AGU Meetings
13 June 2024
The 105th American Meteorological Society Annual Meeting in will be held 12-16 January 2025 in New Orleans, LA. This year's theme is “Towards a Thriving Planet: Charting the Course Across Scales.” The submission deadline for abstracts is 15 August 2024.
The American Geophysical Union's 2024 Fall Meeting in will be held 9-13 December 2024 in Washington, DC. This year's theme is “What’s Next for Science.” The submission deadline for abstracts is 31 July 2024.
[Read More]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]
All
Community
(432)
Jobs
(180)
Unidata
(206)
Data
(58)
News
(8)
Software
(0)
AWIPS
(128)
Decoders
(0)
GEMPAK
(18)
IDV
(49)
LDM
(17)
McIDAS
(14)
NetCDF
(138)
NetCDF-Java
(28)
RAMADDA
(6)
TDS
(43)
UDUNITS
(3)
Events
(23)
LDM-McIDAS
(1)
LibCF
(1)
NetCDF-Perl
(0)
Python
(19)
Rosetta
(1)
Cloud
(6)
MetPy
(44)
