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.
Mike Zuranski of the College of DuPage has been awarded the 2020 Russell L. DeSouza Award by the Unidata Users committee. The DeSouza Award honors “individuals whose energy, expertise, and active involvement enable the Unidata Program to better serve the geosciences.”
Zuranski has been contributing to the well-known NexLab site as a student at the College of DuPage in 2011, and has been a Meteorology Support Analyst for the program since 2016.
Nicole Corbin joined the Unidata Program Center on February 1st, 2021 as an Educational Designer. Prior to joining Unidata, Nicole created learning content and educational experiences for technical support staff at Esri focusing on desktop GIS, Microsoft Windows administration, Python, and customer service. Nicole is passionate about instructional design and is always keeping up on the latest in learning sciences. Her professional interests include adult learning theories, inquiry-based learning, and modular/micro-learning.
Although she's been working in the GIS sector for the past five years, Nicole's background is in meteorology. She received both her Bachelor and Master of Science degrees in Meteorology from North Carolina State University. It was there that she first became interested in discipline-based education research and pedagogy, and was able to experiment with creating educational content for university students. Her very first educational module covered hail growth processes. Now, at Unidata, she is excited to continue creating learning and outreach content for the greater Earth systems science community.
Version 1.0 of the MetPy collection of tools in Python for reading, visualizing, and performing calculations with weather data was released on December 22, 2020. MetPy provides tested, reusable Python components suitable to a wide array of tasks common in meteorological and atmospheric science applications, including scripted data visualization and analysis. In adding this functionality, MetPy aims to mesh well with the broader scientific Python ecosystem — widely used projects including Numpy, Scipy, Matplotlib, xarray, and others.
