AWIPS Tips: Exploring Satellite Imagery using Python-AWIPS

AWIPS Tips

Welcome back to AWIPS Tips!

This week we’re going to dive into a little bit of python-awips to learn more about what satellite data our EDEX has to offer. If this is your first time joining us, it may be helpful to take a quick glance over some of our previous AWIPS Tips blogs about python-awips. To take a deeper look into satellite data, we’ll be highlighting some of the features and cells of the Satellite Imagery example notebook.

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NSF Unidata 2024 Community Equipment Awards: Deadline Extended

Equipment Awards

As a result of changes in the spring 2024 meeting schedule for the NSF Unidata Users Committee, we are able to extend the submission deadline for this year's Community Equipment Awards solicitation until March 29, 2024. All other aspects of the 2024 program remain as described in the original announcement.

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K Nearest Neighbors

Fred Rogers

K Nearest Neighbors (KNN) is a supervised machine learning method that "memorizes" (stores) an entire dataset, then relies on the concepts of proximity and similarity to make predictions about new data. The basic idea is that if a new data point is in some sense "close" to existing data points, its value is likely to be similar to the values of its neighbors. In the Earth Systems Sciences, such techniques can be useful for small- to moderate-scale classification and regression problems.

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NSF Unidata Update: February 2024

In case you missed it — here's a recap of news from the NSF Unidata Program Center for the month of February, 2024.

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NetCDF operators (NCO) version 5.2.1

Version 5.2.1 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.

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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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