AWIPS Tips: Adding ECMWF Data to EDEX

AWIPS Tips

Welcome back to AWIPS Tips! With this entry, we’re going to touch on the topic of adding a new grib product into AWIPS. We’ll be discussing updates that need to be made for both EDEX and CAVE in order to display your new data properly. In order to do this you need to be running your own EDEX server. Most of the recommendations and tips in this blog can be found in our documentation about ingesting new grid data.

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RAMADDA Manages Diverse Digital Content

Globe Animation

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.

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Unidata is looking for a Software Developer

TDS

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.

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2022 MetPy Users Survey

MetPy

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.

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MetPy 1.3.0 Released

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.

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News@Unidata
News and information from the Unidata Program Center
News@Unidata
News and information from the Unidata Program Center

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