NOAA is looking to hire a Supervisory IT Specialist at the National Weather Service (NWS), National Centers for Environmental Prediction (NCEP), Environmental Modeling Center (EMC). The position is in College Park, MD.
Unidata is governed by its community. Our governing committees facilitate consensus-building for future directions of the Unidata Program and establish standards of involvement for the community. Direct involvement in the Program by the academic community helps Unidata stay on top of trends in education and research; for example, recent initiatives on Python and cloud-based computing have benefitted tremendously from committee advice and involvement.
The nomination period has been extended until July 8, 2017 for committee terms beginning with the fall 2017 committee meetings. There are openings on both committees.
You may have noticed that Unidata Program Center developer Ryan May spends a bit of his time evangelizing the use of the Python language in the atmospheric sciences. This week he appears over on Johnny Lin's PyAOS (Python for the Atmospheric and Oceanic Sciences) blog, weighing in on the future of AOS Python.
For a number of years, the Unidata Thredds group has been in the process of "implementing" server-side computation Real-Soon-Now (as the saying goes).
Events have overtaken the previous notion of server-side computing and here we try to codify a replacement that uses a separate server model based on Jupyter (an offshoot of IPython).
From the point of view of Unidata, Jupyter provides a powerful alternative to roll-your-own server-side computing. It supports multiple, "real" programming languages. It is a server itself, so it can be co-located with an existing Thredds server. And, most importantly, it is designed to execute small programs written in any of its supported languages.
We are proposing to implement server-side computing for Thredds by using one or more co-located Jupyter servers. This document elaborates on the capabilities and required support infrastructure to make this proposal operational.
Version 4.6.7 of the netCDF Operators (NCO) has been released. NCO is an Open Source package that consists of a dozen standalone, command-line programs that take netCDF files as input, then operate (e.g., derive new data, average, print, hyperslab, manipulate metadata) and output the results to screen or files in text, binary, or netCDF formats.
The NCO project is coordinated by Professor Charlie Zender of the Department of Earth System Science, University of California, Irvine. More information about the project, along with binary and source downloads, are available on the SourceForge project page.
The COMET program invites you to attend the GOES-R Series Faculty Virtual Course, a series of seven interactive webinars that provide an introduction to the new capabilities offered by the latest-generation GOES-R weather satellite. Registration is free for university faculty.
Sessions run on Wednesdays at 12pm MDT between August 30 and November 1, 2017. Webinar sessions will last 45 minutes and will consist of a 25 minute presentation followed by 20 minutes of discussion time. Recordings will be made available online.
This document proposes an architecture for implementing thread-safe access to the netcdf-c library. Here, the term 'thread-safe' means that multiple threads can access the netcdf-c library safely (i.e. without interference or deadlock or race conditions). This does not mean that the library is itself multi-threaded. Rather, access to the library is serialized so that only one thread at a time is executing the library code.
