Version 4.6.8 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 to university faculty; if space becomes limited, priority will be given to faculty registering by August 23, 2017.
This document proposes adding compression to the netcdf-3 (aka classic) file format. The proposal has numerous limitations because of the nature of the existing netcdf-3 format.
The algorithm and data format proposed here requires re-writing an existing netcdf-3 file to move it to the new format. In effect, the re-written file becomes archival (read-only).
Last week we looked at how to create a simple base map with Cartopy. In this week's MetPy Monday, we learn about contouring a field on the map and some of the idiosyncrasies of cyclic points. In the end, we will have a plot of the globe with the Coriolis parameter contoured. You can use this functionality to create height maps and more!
We'll start off with importing the tools we will use: matplotlib, MetPy calculations, MetPy units, and numpy. We're also using the magic %matplotlib inline so figures show up in the notebook instead of in separate windows.
Periodically some of the Thredds servers run by Unidata get seriously overloaded. One cause is because external users poll the Thredds server to see what has changed. If the polling rate is too high then the performance of the Thredds server can seriously deteriorate.
I am proposing here to mitigate this problem by allowing Thredds servers to generate events that signal changes that might be of interest to users. Then, instead of polling, these users can watch for specific changes events and use that information to update their local databases (or whatever).
Siphon 0.5.0 has been released with API improvements as well as time-based filtering of datasets. Full releases notes are available on the GitHub Release page
