Rio McMahon joined the Unidata Program Center on May 17th, 2021 as a Machine Learning Specialist. This is a new area of focus for the Unidata Program, and Rio will be helping to identify ways in which machine learning can be leveraged to support geoscience research.
A Nevada native, Rio earned his undergraduate degree from the University of Nevada, Reno before becoming a structural engineer. He plied his trade as a registered Professional Engineer in California before moving to Boulder to pursue a Master's degree in Aerospace Engineering at the University of Colorado. His thesis work involving multi-agent reinforcement learning led to his receiving his MS in May of 2021.
Note: See github issue 2006 for additional comments.
To date, filters in the netcdf-c library referred to HDF5 style filters. The inclusion of Zarr support in the netcdf-c library (called NCZarr) creates the need to provide a new representation consistent with the way that Zarr files store filter information. For Zarr, filters are represented using the JSON notation. Each filter is defined by a JSON dictionary, and each such filter dictionary is guaranteed to have a key named "id" whose value is a unique string defining the filter algorithm: "lz4" or "bzip2", for example.
This document outlines the proposed process by which NCZarr will be able to utilize existing HDF5 filters. At the same time, it provides mechanisms to support storing filter metadata in the NCZarr container using the Zarr compliant Codec style representation of filters and their parameters.
Despite the ongoing COVID-19 pandemic, the Unidata Program Center is working with three software development interns via a “virtual internship” program this summer. Even though we're not in the office, we're happy to have these three students with us for the summer of 2021. Click through to read their introductions.
Izzy (Isabelle) Pfander joined the Unidata Program Center as a software development summer intern on May 17, 2021. She completed a double-major in Computer Science and Environmental Science from Willamette University in Salem, Oregon in May, and is planning to begin graduate school in the fall of 2022.
Connor Cozad joined the Unidata Program Center as a software development summer intern on May 17, 2021. He is a rising junior studying data science and meteorology at the College of Charleston in Charleston, South Carolina.
Lydia Bunting joined the Unidata Program Center as a software development summer intern on May 17, 2021. She completed a Bachelor's degree in Mathematics from Oklahoma State University in the spring of 2020, and is currently pursuing a Master's degree in Atmospheric Science at Texas Tech University.
The Committee on Data (CODATA) of the Paris-based International Science Council promotes open data policies, working to advance the interoperability and usability of research data. The Committee is committed to supporting FAIR data principles to improve the Findability, Accessibility, Interoperability, and Reuse of digital assets.
Within the CODATA organizational umbrella, Unidata software developer Steven Emmerson has joined the Digital Representation of Units of Measure (DRUM) Task Group, which aims to raise the profile of the digital representation of units of measure in research communities, representative and governing bodies, and with funders. DRUM takes the position that support for consistent digital representations of units of measurement is of far-reaching importance for science, technology, industry, and trade.
Welcome back to AWIPS Tips, where it's time to talk about time! Specifically, how CAVE handles displaying multiple datasets with different time intervals. CAVE uses the Time Match Basis feature to settle temporal disparities. Watch the video in this post to see it in action.
In the fall of 2020, UCAR's COMET program inaugurated a new resource for instructors teaching university undergraduate meteorology courses. The University Course Support collection is intended to support university faculty and students in their increasingly virtual learning by mapping MetEd lesson content to U.S. university meteorology course curricula.
This week, COMET has announced that the University Course Support resource has added the capability to download images and animations associated with the MetEd lessons. Instructors can now easily integrate these resources into their own lectures and presentations. All graphics and media items are free for reuse for noncommercial, educational purposes.
