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Unidata Program Center Welcomes Cece Hedrick

Cece Hedrick
Cece Hedrick

Cece Hedrick joined the Unidata Program Center (UPC) team on October 16th, 2017 as a software developer. Her first day at the office coincided with the joint meeting of Unidata's Users' and Strategic Advisory Committees, so … we pretty much threw her in the deep end of the pool. On the bright side, Cece got an instant introduction to the community we're working for.

Cece studied astrophysics and computer science at the University of Nebraska. As an astronomer she has worked in a wide range of research categories from supermassive black holes, circumstellar disks, and symbiotic stars to the Martian atmosphere as part of NASA’s Mars Reconnaissance Orbiter mission. As a computer scientist she has also explored a wide range of research topics, such as, bioinformatics, modeling and simulation for war gaming, and user experience/human computer interaction within the learning sciences. As a software developer, Cece has previously worked on military secure messaging and data transfer solutions, cable television software product continuous integration, and space weather prediction and analysis software.

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Help Envision a Geospatial Software Institute

Geospatial Software Institute

The National Science Foundation has recently funded a project to conceptualize a Geospatial Software Institute (GSI) as a long-term hub of excellence in software infrastructure that can serve diverse research and education communities. To achieve the goal and associated aims, the project will design a community organization called the Geospatial Innovation Consortium for High-Performance Software and Discovery to mobilize and serve pertinent communities and stakeholders in a sustainable way. In connection with this initiative, broad community input is being sought to help design the GSI. An online survey is available and responses are requested no later than January 25, 2018.

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Call for Proposals: Unidata 2018 Community Equipment Awards

Equipment Awards
Unidata offers equipment grants to support a variety of projects

The Unidata Program Center is pleased to announce the opening of the 2018 Unidata Community Equipment Awards solicitation. Created under the sponsorship of the National Science Foundation, Unidata equipment awards are intended to encourage new members from diverse disciplinary backgrounds in the geosciences to join the Unidata community, and to encourage existing members to continue their active participation, enhancing the community process. For 2018, a total of $100,000 is available for awards; proposals for amounts up to $20,000 will be considered.

Past recipients of Unidata equipment awards have used the grants to procure equipment for data sharing, to create interactive data visualization laboratories, and to encourage the use of Unidata software packages in research and education.

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AMS Short Course on Reproducible Atmospheric Science Workflows

AMS

Unidata community members Ivo Jimenez and Dr. Carlos Maltzahn from the University of California, Santa Cruz, along with Kevin Tyle from the University at Albany, will be presenting an AMS Short Course titled Reproducible Atmospheric Science Workflows Using Open Source Tools: An Introduction to the Popper Experimentation Protocol. The course focuses on an exciting new open-source toolset developed by researchers at UC Santa Cruz with specific tie-ins to reproducible workflows in atmospheric science modeling using the Weather Research and Forecasting model (WRF), both in research and the classroom.

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Reminder: Register for MetPy Short Course at 2018 AMS Annual Meeting

AMS

Unidata developers Ryan May and John Leeman, together with Kevin Goebbert from Valparaiso University, will be teaching a one-day short course titled “Python for Dynamical Meteorology Using MetPy” at the 2018 AMS Annual Meeting in Austin, Texas. The format of the course is like that of our larger Python workshop, relying on Jupyter notebooks to teach several core concepts. The crux of the course is to access remote data sets and use MetPy to perform analyses relevant to synoptic/dynamic meteorology. The goal is to go beyond the traditional introduction to Python and work on some concrete, meteorology-specific problems. As a result, familiarity with Python, NumPy, and Matplotlib is assumed.

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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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