If you are a student, educator, or researcher in the Earth Science community, your work probably involves a broad range of digital content — web pages, documents, photos, GIS data, instrument data, model data, etc. RAMADDA, the Repository for Archiving and MAnaging Diverse DAta, provides a place to manage all of this digital stuff.
RAMADDA makes it easy to manage all sorts of digital content, from documents and images to scientific data files in a variety of flavors. Data harvesting features allow the system to ingest available data and process spatial, temporal, and faceted metadata automatically for use in the system's search interface. Content can also be added to the system manually. And RAMADDA makes it easy to create engaging web interfaces to display the digital content using a wiki facility.
The Unidata Program Center is hiring! We are looking for a scientific software developer to join our team in creating and maintaining software and data services to support the geosciences. Specifically, we are looking for a developer to join our open source efforts related to the suite of Thematic Real-time Environmental Distributed Data Services (THREDDS) projects.
The MetPy development team is looking for anyone who has used MetPy to take the 2022 MetPy Users Survey. The survey should only take approximately 5-10 minutes and is completely anonymous.
Version 1.3.0 of MetPy, a collection of tools in Python for reading, visualizing, and performing calculations with weather data, has been released. The project aims to mesh well with the rest of the scientific Python ecosystem, including the Numpy, Scipy, and Matplotlib projects, adding functionality specific to meteorology. This release includes a variety of fixes and minor updates, including dropping support for Python 3.7.
Welcome back to AWIPS Tips! This week we're diving into another way to display data in CAVE. We've gone over some of the more standard ways – through menu items, the volume browser, and the product browser. Today we'll discuss another option which is available to users: importing a shapefile. For those who aren't familiar, GIS stands for Geographic Information Systems, and is the discipline of creating, managing, and analyzing geographically referenced data. These data can represent both vector and raster features on a globe, and can be stored in a number of different file types. In CAVE, there is the option to import shapefiles, which contain points, lines, or polygons with associated attributes for each record.
Update: We are looking into a potential fix to allow Python2 to run on MacOS 12.3
We have recently learned of a new restriction when upgrading MacOS to Monterey version 12.3 that negatively impacts CAVE. The latest version of MacOS (and those going forward, we assume) no longer supports Python2. At this time, our Mac version of CAVE still uses Python2.7. Because of this, when running CAVE on the latest version of Monterey, a number of visualization features will no longer work (including Wind Vectors).
All releases of TDS 5 prior to the March 31, 2022 TDS 5.4-SNAPSHOT release are vulnerable to the Spring Framework library Spring4Shell exploit [cve-2022-22965].
We are aware of active hacking attempts against Internet-based unpatched TDS servers, with one reported successful attempt in the community. Such attempts occurred as early as Wednesday March 30 before Spring officially announced the existence of the vulnerability.
If you haven't done so already, we strongly encourage 5.x users to upgrade to the latest snapshot immediately.
Everyone loves to talk about the weather. But until now, serious collectors of weather memorabilia have been left on the sidelines. Oh, a lucky few manage to save enormous hailstones in their freezers, but most are limited to screen shots of satellite or radar imagery, or maybe articles clipped from the local newspaper.
But never fear: Unidata is preparing to bring weather collectibles into the twenty-first century by minting a series of Non Fungible Tokens (NFTs) based on significant weather events. Our inaugural series will consist of 902 distinct NFTs of Hurricane Katrina, one for each millibar of the storm's lowest recorded atmospheric pressure.
