Enhancing the netCDF C++ Library and the Siphon Package

Aodhan Sweeney
Aodhan Sweeney

This summer at Unidata I worked on expanding functionality for both the netCDF C++ library and the Python data access tool Siphon. Previously, the netCDF C++ library was lacking important functionality that was included in other netCDF libraries. Fortunately, adding this functionality is a straightforward process. I created function wrappers in the C++ library that would call previously made functions in the C library. This allows those working in a C++ framework to continue to use the netCDF libraries without sacrificing additional functionality.

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Converting Ugly Text to Beautiful Maps:
Adding METAR Support in MetPy

Max Grover
Max Grover

The primary task that I completed this summer was adding METAR functionality to MetPy. METAR stands for METeorological Aerodrome Report. METARs contain information about surface data including temperature, dew point, wind speed and direction, and several other meteorological variables. Prior to this summer, MetPy did not have the ability to parse METARs. Also, the current parser that is used to generate netCDF files on the Unidata THREDDS server had a substantial amount of missing data. By adding METAR parsing tools, we made additional surface data available to the user, making it easier to make high quality surface maps using MetPy.

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A Summer of Code and Outreach:
Have you heard of the Integrated Data Viewer?

Jessica Blunt
Jessica Blunt

The overarching theme of my projects this summer has been improving the accessibility of the Integrated Data Viewer (IDV) for the average scientist. The IDV is a versatile and powerful, though complicated, program.

When I ask people if they’ve heard of the IDV, there are two types of answers that stand out. The first, a simple “no” or “I think someone mentioned it once.” The second, something like “I’ve tried to figure it out, but didn’t get very far.” I worked to reach those who gave the second answer.

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MetPy Mondays #92 - Geocoding and SPC Storm Report Maps

This week we learn how to turn human readable place names into lat/lon values with geocoding and how to plot these on maps with SPC storm reports!

MetPy Mondays #91 - Temperature Calculations and Pandas

This week we work with apparent temperature calculations and pandas dataseries.

Unidata Developer's Blog
A weblog about software development by Unidata developers*
Unidata Developer's Blog
A weblog about software development by Unidata developers*

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