News@UnidataUnidata newshttps://www.unidata.ucar.edu/blogs/news/feed/entries/atom2024-03-06T11:18:50-07:00Apache Rollerhttps://www.unidata.ucar.edu/blogs/news/entry/ams-2024-conference-highlights-fromAMS 2024 Conference Highlights from the NSF Unidata StaffUnidata News2024-02-14T11:34:35-07:002024-02-14T11:34:35-07:00<div class="img_l" style="width: 150px; margin-top: 0;">
<img width="150" style="padding: 0.2em 0 0 0;" src="/blog_content/images/logos/ams_2024_logo_small.png" alt="AMS 2024 Annual Meeting" />
</div>
<p>
This year's annual American Meteorological Society meeting was held 27 January -
1 February 2024 in Baltimore, MD. Several NSF Unidata staff members were able to
travel to Baltimore to lead workshops, visit with students, present papers and
posters, and otherwise take part in the conference. As always, staff members spent
some time meeting with community members at UCAR's exhibit hall booth. The following
are some of the conference highlights from the perspective of NSF Unidata staff.
</p>
<p><style>
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<div class="img_l" style="width: 150px; margin-top: 0;">
<img width="150" style="padding: 0.2em 0 0 0;" src="/blog_content/images/logos/ams_2024_logo_small.png" alt="AMS 2024 Annual Meeting" />
</div>
<p>
This year's annual American Meteorological Society meeting was held 27 January -
1 February 2024 in Baltimore, MD. Several NSF Unidata staff members were able to
travel to Baltimore to lead workshops, visit with students, present papers and
posters, and otherwise take part in the conference. As always, staff members spent
some time meeting with community members at UCAR's exhibit hall booth. The following
are some of the conference highlights from the perspective of NSF Unidata staff.
</p>
<h3>23rd Student Conference</h3>
<div class="img_r" style="width: 200px;">
<a class="lightbox" title="Talking with students at the AMS 2024 Student Career Fair. (Photo: JT Thielen)" href="/blog_content/images/2024/20240215_ams_01.jpg">
<img width="200" src="/blog_content/images/2024/20240215_ams_01.jpg" alt="AMS 2024 Career Fair" />
</a>
<div class="caption">
Talking with students at the AMS 2024 Student Career Fair. (Click to enlarge.)
</div>
<p></div></p>
<p>
As we try to do at every AMS Annual Meeting, NSF Unidata had a table set up for the
Student Conference Career Fair, held Saturday and Sunday evenings before the main
conference exhibition hall opened. Our table attracted many visitors, with
students interested in data and software available from Unidata as well as Unidata's
Summer Internship program . We were fortunate that one of our 2023 summer interns,
Jessica Souza from Texas Tech University, was able to join Program Center staff at the
table to talk with students and describe her experiences working at NSF Unidata.
</p>
<p>
In addition to the Career Fair, the AMS Student Conference provides opportunities
for undergraduate and graduate students to learn new skills, meet and network with
mentors and colleagues in the weather, water, and climate field, and participate in
workshops to help with their professional development. This year, NSF Unidata led
<strong>two</strong> workshops during the Student Conference — one focused on
AWIPS and one focused on Python and MetPy.
</p>
<h3>Student Conference AWIPS Workshop</h3>
<div class="img_l" style="width: 200px;">
<a class="lightbox" title="NSF Unidata developer Tiffany Meyer presents at the AMS 2024 Student Conference AWIPS workshop. (Photo: Ryan May)" href="/blog_content/images/2024/20240215_ams_03.jpg">
<img width="200" src="/blog_content/images/2024/20240215_ams_03.jpg" alt="AMS 2024 Student Conference AWIPS workshop" />
</a>
<div class="caption">
Student Conference AWIPS workshop.
</div>
<p></div></p>
<p>
On Sunday, January 28<sup>th</sup>, NSF Unidata software engineer Tiffany Meyer
partnered with Victoria Elliott (a graduate student from Texas A&M) to deliver an
in-person workshop on the Advanced Weather Interactive Processing System
(<a href="https://www.unidata.ucar.edu/software/awips2/">AWIPS</a>) for
72 Student Conference attendees. This afternoon session served as a high-level
overview on how AWIPS is structured, how it can be used in the classroom to prepare
for careers as a forecaster with the National Weather Service, and how it can best
benefit students' University programs. The workshop leaders provided demonstrations
of the Common AWIPS Visualization Environment (CAVE) and the python-awips data
access framework. The workshop took advantage of public-facing AWIPS Environmental
Data EXchange (EDEX) servers configured by NSF Unidata staff Julien Chastang and
Ana Espinoza on the NSF Jetstream2 cloud. NSF Unidata staff members Shay Carter and
Nicole Corbin helped plan and design the workshop activities.
</p>
<h3>Student Conference Python Workshop</h3>
<div class="img_r" style="width: 200px;">
<a class="lightbox" title="Max Grover helps a student at the AMS 2024 Student Conference Python workshop. (Photo: JT Thielen)" href="/blog_content/images/2024/20240215_ams_02a.jpg">
<img width="200" src="/blog_content/images/2024/20240215_ams_02a.jpg" alt="AMS 2024 Student Conference Python workshop" />
</a>
<div class="caption">
Student Conference Python workshop.
</div>
<p></div></p>
<p>
Also on Sunday, January 28<sup>th</sup>, NSF Unidata software engineer Drew Camron partnered with Max
Grover (DOE ANL/ARM, and a former NSF Unidata summer intern), Ryan May (NSF Unidata),
Jessica Souza (Texas Tech University, and a former NSF Unidata summer intern), JT Thielen
(Colorado State University, and a former NSF Unidata summer intern),
and Kevin Tyle (University at Albany), to deliver an in-person Python workshop
for 38 Student Conference attendees. This afternoon session served as an introduction to
Exploratory Data Analysis (EDA) in Python using tools like Pandas, xarray, and
<a href="https://www.unidata.ucar.edu/software/metpy/">MetPy</a>, and
concluded with a crash course in accessing HRRR model output on Amazon Web Services S3 cloud stores to
help forecast winds and rain in Baltimore. The workshop was supported by NSF Unidata
staff Julien Chastang and Ana Espinoza through provision of free Jupyter Lab computing
resources to students on the NSF JetStream2 cloud.
</p>
<h3>MetPy Short Course</h3>
<div class="img_l" style="width: 200px;">
<a class="lightbox" title="NSF Unidata developer Drew Camron helps a participant at the AMS 2024 MetPy Short Course. (Photo: JT Thielen)" href="/blog_content/images/2024/20240215_ams_04.jpg">
<img width="200" src="/blog_content/images/2024/20240215_ams_04.jpg" alt="AMS 2024 MetPy Short Course" />
</a>
<div class="caption">
AMS 2024 MetPy Short Course.
</div>
<p></div>
<a class="lightbox" title="Valparaiso University professor Kevin Goebbert presents at the AMS 2024 MetPy Short Course. (Photo: JT Thielen)" href="/blog_content/images/2024/20240215_ams_05.jpg"></a></p>
<p>
In addition to the two student conference workshops, NSF Unidata staff led an AMS
Short Course titled <em>MetPy: Creating Meteorological Python Workflows from
Scratch</em>. For this short course, software engineer Drew Camron partnered with
Dr. Kevin Goebbert (Valparaiso University) and JT Thielen (Colorado State
University) to present a crash course in <a
href="https://www.unidata.ucar.edu/software/metpy/">MetPy</a>. The course helped
attendees develop Python workflows for obtaining, manipulating, and visualizing a
variety of weather data from NSF Unidata <a
href="https://www.unidata.ucar.edu/software/tds/">THREDDS Data Servers</a>
in a realistic and near-real-time way. Twenty-seven people participated in-person,
representing universities (U.S. and international), national centers, forecasting
offices, and industry partners. Like the student conference Python workshop, this
course was supported by NSF Unidata staff Julien Chastang and Ana Espinoza through
provision of free Jupyter Lab computing resources to students on the NSF JetStream2
cloud.
</p>
<h3>Talks and Presentations</h3>
<div class="img_r" style="width: 200px;">
<a class="lightbox" title="2023 NSF Unidata summer intern Jessica Souza from Texas Tech University presented on her internship work. (Photo: Drew Camron)" href="/blog_content/images/2024/20240215_ams_06.jpg">
<img width="200" src="/blog_content/images/2024/20240215_ams_06.jpg" alt="Jessica Souza" />
</a>
<div class="caption">
2023 summer intern Jessica Souza.
</div>
<p></div>
<a class="lightbox" title="Nicole Corbin participated remotely to give a talk about microlearning strategies. (Photo: Drew Camron)" href="/blog_content/images/2024/20240215_ams_07.jpg"></a></p>
<p>
Once the Annual Meeting got fully underway, NSF Unidata staff members participated
in a variety of sessions and made presentations both in-person and remotely. Staff
members Drew Camron, Shay Carter, Julien Chastang, Nicole Corbin, Ana Espinoza,
Ryan May, Tiffany Meyer, and Yuan Ho all gave talks. 2023 summer student intern
Jessica Souza presented at two sessions! You can find online resources from Nicole
Corbin's talk <em>Microlearning Strategies for Data Readiness in the Classroom</em>
on the NSF Unidata eLearning site: see
<a href="https://elearning.unidata.ucar.edu/course/view.php?id=9">Multidimensional Data Structures</a>
and
<a href="https://elearning.unidata.ucar.edu/course/view.php?id=10">Getting Started with Siphon and THREDDS</a>.
A complete list of talks by NSF Unidata folks is included in
this post: <a href="https://www.unidata.ucar.edu/blogs/news/entry/unidata-staff-at-ams-2024">NSF Unidata Staff at AMS 2024 Meeting</a>.
</p>
<h3>Visiting with Community</h3>
<p>
In addition to interacting with community members at talks and poster sessions,
Unidata staff members spent time at the UCAR/NCAR booth in the AMS exhibit hall.
While Unidata's presence at the booth was low-key, we were happy to talk with
students and others who came by to learn about internships, software, and data
access.
</p>
<p>
What do you think of this arrangement? Were you able to find us in the AMS exhibition
space? Did you get to talk with Unidata staff members you wanted to contact? We'd
love to hear your thoughts on how we can best visit with you at AMS 2025! Drop us a
line at <a href="mailto:support@unidata.ucar.edu?subject=AMS%20booth%20thoughts">support@unidata.ucar.edu</a> if
you'd like to weigh in.
</p>
https://www.unidata.ucar.edu/blogs/news/entry/nsf-unidata-where-did-thatNSF Unidata: Where Did That Name Come From?Unidata News2024-01-25T16:00:34-07:002024-01-25T16:00:34-07:00<div class="img_l" style="width: 200px;">
<img width="200" src="/images/logos/NSF-Unidata_lockup_vertical_2023.png" alt="NSF Unidata logo"/>
</div>
<p>
You may have noticed a change on this web site recently: where you might expect to see
the name “Unidata” you are now beginning to see “NSF Unidata” in its place. Just what’s
going on?
</p>
<div class="img_l" style="width: 200px;">
<img width="200" src="/images/logos/NSF-Unidata_lockup_vertical_2023.png" alt="NSF Unidata logo"/>
</div>
<p>
You may have noticed a change on this web site recently: where you might expect to see
the name “Unidata” you are now beginning to see “NSF Unidata” in its place. Just what’s
going on?
</p>
<p>
Before delving deeper, a quick note: <em>
nothing about the way the Unidata program
functions is changing</em>. We will continue to provide the same data services, software, and
community focus as always. At the same time, we will alter our communications in ways that
highlight the important support and investment provided by the U. S. National Science
Foundation (NSF).
</p>
<p>
Several years ago, NSF launched an initiative focused on “increasing awareness of NSF
investments, impacts and partnerships that support the NSF mission through brand
recognition.” In mid-2023, NSF introduced new requirements for programs that receive
significant funding from the foundation. According to the
<a href="https://nsf-gov-resources.nsf.gov/2023-11/NSF-Policy-on-Brand-Standards.pdf">Official Policy on Brand Standards of the U.S. National Science Foundation</a>
released in November 2023, entities that
receive more than $1 million in funding from the NSF, and for whom that funding
constitutes more than 50% of the entity’s total funding, are required to adhere to a
number of visual and textual requirements that highlight NSF’s involvement and support.
Most notably:
</p>
<ul>
<li>In written communications, the names of programs must be prepended by “NSF.”</li>
<li>Program logos must be paired with the NSF logo in specific ways.</li>
</ul>
<p>
Because the NSF Unidata program receives more than $1 million from the NSF, and this
constitutes more than half our funding, we are making these and other required changes to
our communications. As a result, you’ll begin to see this logo:
</p>
<div>
<img src="/images/logos/NSF-Unidata_lockup_horizontal_2023.png">
</div>
<p>
(or the one at the top of this article) in places where you used to see a only the “Unidata” logo.
And when
referring to the program in written communications, we’ll use “NSF Unidata” rather than
the old “Unidata.”
</p>
<p>
NSF recognizes that making these sorts of branding changes — especially where large
amounts of text are involved — is not a trivial undertaking. The changes are being rolled
out as new materials are being developed, and are expected to be substantially complete by
the end of 2024. Historical and archive materials (for example, old documents or web
pages) may not reflect the changes unless they are otherwise updated in the normal course
of business. For NSF Unidata materials, this means you’ll see the new usage in new
materials, and in older materials as we bring them up to date.
</p>
<p>
As you might expect, NSF Unidata is far from alone in making these changes. Within the
UCAR organization, we are one of three programs that are updating our names and logos:
</p>
<ul>
<li><a href="https://ncar.ucar.edu/">NSF NCAR</a></li>
<li><a href="https://soars.ucar.edu/">NSF SOARS</a></li>
<li><a href="https://unidata.ucar.edu/">NSF Unidata</a></li>
</ul>
<p>
Note that <a href="https://www.ucar.edu/">UCAR</a> itself, while it administers the
programs listed above, is not itself required to refer to itself as an NSF program.
</p>
<p>
Once again, nothing about our program is changing! We agree with NSF’s goal of raising
awareness of the Foundation’s impact, and value their ongoing support for our efforts on
behalf of the Earth Systems Science community.
</p>
https://www.unidata.ucar.edu/blogs/news/entry/unidata-staff-at-ams-2024NSF Unidata Staff at AMS 2024 MeetingUnidata News2024-01-05T10:15:39-07:002024-01-24T16:37:45-07:00<div class="img_l" style="width: 100px;"> <img width="100" src="/blog_content/images/logos/ams_2024_logo_small.png" alt="AMS 2024 Annual Meeting" />
</div>
<p>
Members of the NSF Unidata Program Center staff will be attending the
104th annual American Meteorology Society
meeting, to be held 28 January - 1 February 2024 in Baltimore, MD. Staff members will be
presenting sessions and posters, and will also be spending time in the
UCAR booth (#323) in the main Exhibit hall.
</p>
<p>
We're also attending the Graduate Student Career Fair, leading two(!) workshops as part of
the Student Conference, and teaching a MetPy short course, Read on for details.
</p>
<div class="img_l" style="width: 100px;"> <img width="100" src="/blog_content/images/logos/ams_2024_logo_small.png" alt="AMS 2024 Annual Meeting" />
</div>
<p>
Members of the NSF Unidata Program Center staff will be attending the
<a href="https://annual.ametsoc.org/index.cfm/2024/">104th annual American Meteorology Society
meeting</a>, to be held 28 January - 1 February 2024 in Baltimore, MD. The schedule below lists
sessions or posters presented by staff members. We'll also be spending time in the
<a href="https://ams.confex.com/ams/104ANNUAL/meetingapp.cgi/Session/66325">UCAR booth (#323)</a>
in the main Exhibit hall
(<a href="https://ams.confex.com/ams/104ANNUAL/exhibithall/exhibitorboothmap.cgi?name=exhibithall">map</a>).
</p>
<p><strong>Note:</strong> As of this writing, AMS has no COVID-19 or other health safety requirements
for attendees. See the Health and Safety section of the meeting
<a href="https://annual.ametsoc.org/index.cfm/2024/about-the-meeting/faq/">FAQ</a> for the most current information.
</p>
<div>
<h3>Student Conference Career Resource and Graduate School Fair</h3>
<p>
The AMS student conference is intended for junior and senior undergraduates and all
graduate students, and will focus on interdisciplinary topics and wide-ranging
opportunities in the atmospheric and related sciences. Sessions include invited
speakers from the private, academic, and government sectors. A Career Resource Fair
and networking evening is scheduled to provide a forum for students to personally
interact with professionals who represent potential employers and graduate
institutions.
</p>
<p>
Unidata will be at
<span class="highlight"><a href="https://ams.confex.com/ams/104ANNUAL/careerfair/exhibitorboothmap.cgi?name=careerfair">table T-51</a></span>
at the
<a href="https://ams.confex.com/ams/104ANNUAL/meetingapp.cgi/Session/67795">Career
Resource Fair</a>,
which runs from 5:30 - 7:30pm Saturday, January 27 and 6:30 - 8:30pm Sunday, January 28
in Exhibit Hall D.
Program Center staff will be on hand to discuss our summer internship opportunities
and how Unidata products can
help students in their education, forecasting, and research. Come visit us!
</p>
</div>
<div>
<h3>Student Conference Workshop(s)!</h3>
<p>
Following up on previous successful student conference workshops, we're
holding <strong>two</strong> in-person workshops this year. If you're participating in the Student
Conference, you can join either:
</p>
<ul>
<li>Session 10C: <a href="https://ams.confex.com/ams/104ANNUAL/meetingapp.cgi/Session/67535">Unidata Python Workshop</a> (room 336)</li>
<li>Session 10D: <a href="https://ams.confex.com/ams/104ANNUAL/meetingapp.cgi/Session/67536">Unidata AWIPS Workshop</a> (room 342)</li>
</ul>
<p>Both workshops will be held from 2:00-3:45
on Sunday, January 28. Workshop registration information should be part of your
student conference materials.
</p>
</div>
<div>
<h3>MetPy Short Course</h3>
<p>
NSF Unidata staff and colleagues from the community will be teaching a short course
titled
<a href="https://www.ametsoc.org/index.cfm/ams/education-careers/careers/professional-development/short-courses/metpy-creating-meteorological-python-workflows-from-scratch/">MetPy: Creating Meteorological Python Workflows from Scratch</a>
on the afternoon of Saturday, January 27 from 1:30-5:30pm. Registration is limited,
but spots in this course are still available at the time of this posting.
</p>
</div>
<h3>Conference Sessions</h3>
<p>
The schedule below lists selected sessions at which Unidata staff
will be presenting or attending. See the AMS meeting
<a href="https://ams.confex.com/ams/104ANNUAL/meetingapp.cgi/Home/0">Conference Technical
Program
</a> for additional information on the sessions.
</p>
<p>All times are
<span class="highlight_muted">Eastern Standard Time</span> (UTC−05:00).<br>
In-person conference activities will be at the <a href="https://www.bccenter.org/">Baltimore Convention Center</a>.
</p>
<p>
UPC staff who are presenting, hosting, or convening are shown in roman type. Presenters are listed first,
with co-authors following. Names shown in <strong>bold</strong> indicate the individual will be
present in person.<br>
Close collaborators who are not on the UPC staff are shown in <em>italics</em>.
</p>
<div class="schedule">
<div>
<h5 style="padding-bottom:0.3em;">Saturday, January 27, 2024</h5>
<table class="zebra">
<tr>
<th> Time </th>
<th> Session </th>
<th> Title </th>
<th> Location </th>
<th> UPC Staff </th>
</tr>
<tr>
<td> 13:30 - 17:30 </td>
<td> Short Course
</td>
<td>
<a href="https://www.ametsoc.org/index.cfm/ams/education-careers/careers/professional-development/short-courses/metpy-creating-meteorological-python-workflows-from-scratch/">MetPy: Creating Meteorological Python Workflows from Scratch</a>
</td>
<td>Room 317</td>
<td><strong>Drew Camron</strong>, <strong>Ryan May</strong>, <strong><em>Kevin Goebbert</em></strong>, <strong><em>Jonathan Thielen</em></strong></td>
</tr>
<tr>
<td> 17:30 - 19:30 </td>
<td> </td>
<td> <a href="https://ams.confex.com/ams/104ANNUAL/careerfair/exhibitorboothmap.cgi?name=careerfair">Career Resource and Graduate School Fair</a> </td>
<td>Hall D, table T-51</td>
<td><strong>Several</strong></td>
</tr>
</table>
</div>
<div>
<h5 style="padding-bottom:0.3em;">Sunday, January 28, 2024</h5>
<table class="zebra">
<tr>
<th> Time </th>
<th> Session </th>
<th> Title </th>
<th> Location </th>
<th> UPC Staff </th>
</tr>
<tr>
<td> 14:00 - 15:45 </td>
<td> 10C
</td>
<td>
<a href="https://ams.confex.com/ams/104ANNUAL/meetingapp.cgi/Session/67535">Student Conference Python Workshop</a>
</td>
<td>Room 336</td>
<td><strong>Drew Camron</strong>, <strong>Ryan May</strong></td>
</tr>
<tr>
<td> 14:00 - 15:45 </td>
<td> 10D
</td>
<td>
<a href="https://ams.confex.com/ams/104ANNUAL/meetingapp.cgi/Session/67536">Student Conference AWIPS Workshop</a>
</td>
<td>Room 342</td>
<td><strong>Tiffany Meyer</strong></td>
</tr>
<tr>
<td> 18:30 - 20:30 </td>
<td> </td>
<td> <a href="https://ams.confex.com/ams/104ANNUAL/careerfair/exhibitorboothmap.cgi?name=careerfair">Career Resource and Graduate School Fair</a> </td>
<td>Hall D, table T-51</td>
<td><strong>Several</strong></td>
</tr>
</table>
</div>
<div>
<h5 style="padding-bottom:0.3em;">Monday, January 29, 2024</h5>
<table class="zebra">
<tr>
<th> Time </th>
<th> Session </th>
<th> Title </th>
<th> Location </th>
<th> UPC Staff </th>
</tr>
<tr>
<td> 10:45 - 12:00 </td>
<td> 2.2 </td>
<td>
<a href="https://ams.confex.com/ams/104ANNUAL/meetingapp.cgi/Paper/433342">Microlearning Strategies for Data Readiness in the Classroom (breakout session)</a>
</td>
<td>Room 308</td>
<td>Nicole Corbin</td>
</tr>
<tr>
<td> 17:15 - 17:30 </td>
<td> J4A.4 </td>
<td>
<a href="https://ams.confex.com/ams/104ANNUAL/meetingapp.cgi/Paper/433908">Three-Dimensional Gridded Visualization and Analysis of Individual NEXRAD Level 2 Volume Radar Data</a>
</td>
<td>Room 337</td>
<td><strong>Yuan Ho</strong></td>
</tr>
</table>
</div>
<div>
<h5 style="padding-bottom:0.3em;">Tuesday, January 30, 2024</h5>
<table class="zebra">
<tr>
<th> Time </th>
<th> Session </th>
<th> Title </th>
<th> Location </th>
<th> UPC Staff </th>
</tr>
<tr>
<td> 15:40 - 16:30 </td>
<td> E49 </td>
<td>
<a href="https://ams.confex.com/ams/104ANNUAL/meetingapp.cgi/Paper/439732">Advancing Atmospheric Science Education: Customized PyAOS JupyterHubs via the Unidata Science Gateway</a>
</td>
<td> Hall E</td>
<td><strong>Julien Chastang</strong>, Ana Espinoza</td>
</tr>
</table>
</div>
<div>
<h5 style="padding-bottom:0.3em;">Wednesday, January 31, 2024</h5>
<table class="zebra">
<tr>
<th> Time </th>
<th> Session </th>
<th> Title </th>
<th> Location </th>
<th> UPC Staff </th>
</tr>
<tr>
<td> 11:30 - 11:45 </td>
<td> 10.4 </td>
<td>
<a href="https://ams.confex.com/ams/104ANNUAL/meetingapp.cgi/Paper/433640">Assessing MetPy Mondays Impact on the Community to Address User Needs</a>
</td>
<td> Room 324</td>
<td><strong>Jessica Souza</strong> (2023 Summer Intern), <em>John Leeman</em>, Drew Camron, Ryan May</td>
</tr>
<tr>
<td> 13:00 - 14:00 </td>
<td> n/a </td>
<td>
Advancing Atmospheric Science Education: Customized PyAOS JupyterHubs via the Unidata Science Gateway
</td>
<td> <a href="https://ams.confex.com/ams/104ANNUAL/exhibithall/exhibitorboothmap.cgi?name=exhibithall">UCAR booth<br>(#323)</a> </td>
<td><strong>Julien Chastang</strong></td>
</tr>
<tr>
<td> 14:15 - 14:30 </td>
<td> 11.2 </td>
<td>
<a href="https://ams.confex.com/ams/104ANNUAL/meetingapp.cgi/Paper/438253">Cooking up a Storm with Project Pythia</a>
</td>
<td> Room 324</td>
<td><strong><em>Kevin Tyle</em></strong>, Drew Camron, Ryan May</td>
</tr>
<tr>
<td> 14:30 - 14:45 </td>
<td> 11.3 </td>
<td>
<a href="https://ams.confex.com/ams/104ANNUAL/meetingapp.cgi/Paper/439255">Project Pythia: Three Years of Community Building Through Open Source Technology and Education</a>
</td>
<td> Room 324</td>
<td><strong>Drew Camron</strong>, Ryan May, <em>Kevin Tyle</em></td>
</tr>
<tr>
<td> 14:30 - 14:45 </td>
<td> 11B.4 </td>
<td>
<a href="https://ams.confex.com/ams/104ANNUAL/meetingapp.cgi/Paper/436151">Unidata AWIPS Update</a>
</td>
<td>Room 336</td>
<td><strong>Tiffany Meyer</strong>, Shay Carter</td>
</tr>
<tr>
<td> 17:45 - 18:00 </td>
<td> 12.6 </td>
<td>
<a href="https://ams.confex.com/ams/104ANNUAL/meetingapp.cgi/Paper/439375">What’s New and What’s Coming in MetPy</a>
</td>
<td>Room 324</td>
<td><strong>Ryan May</strong>, Drew Camron, <em>Kevin Goebbert</em></td>
</tr>
</table>
</div>
<div>
<h5 style="padding-bottom:0.3em;">Thursday, February 1, 2024</h5>
<table class="zebra">
<tr>
<th> Time </th>
<th> Session </th>
<th> Title </th>
<th> Location </th>
<th> UPC Staff </th>
</tr>
<tr>
<td> 09:30 - 09:45 </td>
<td> 13B.5 </td>
<td>
<a href="https://ams.confex.com/ams/104ANNUAL/meetingapp.cgi/Paper/431285">Implementing dataset preprocessing on the THREDDS Data Server</a>
</td>
<td>Room 336</td>
<td><strong>Jessica Souza</strong> (2023 Summer Intern), Tara Drwenski,
Hailey Johnson, Megan Lerman, Thomas Martin</td>
</tr>
</table>
</div>
<div style="display: none;">
<h5 style="padding-bottom:0.3em;">Friday, January 13, 2023</h5>
<table class="zebra">
<tr>
<th> Time </th>
<th> Session </th>
<th> Title </th>
<th> Location </th>
<th> UPC Staff </th>
</tr>
<tr>
<td> 00:00 - 00:00 </td>
<td> Lorem Ipsum </td>
<td>
Lorem Ipsum
</td>
<td> ROOM!</td>
<td>Who</td>
</tr>
</table>
</div>
<p></div></p>
https://www.unidata.ucar.edu/blogs/news/entry/unidata-staff-at-agu-fall8Unidata Staff at AGU Fall 2023 MeetingUnidata News2023-11-29T16:00:15-07:002023-12-08T13:17:58-07:00<div class="img_l" style="width: 150px;margin:0px 10px -10px 0px;">
<a href="https://fallmeeting.agu.org/2022/">
<img width="150" src="/blog_content/images/2023/AGU23_800x800.png" alt="AGU Fall Meeting 2023" />
</a>
</div>
<p>
The American Geophysical Union will be conducting a hybrid in-person and virtual
conference for its
2023 Fall meeting, December 11-15 2023,
with live events taking place in San Francisco, CA.
</p>
<p>
Unidata's parent organization UCAR will have a physical presence
in the AGU exhibit hall this year, come visit at booth 807!
</p>
<p>Several Unidata staff members will
be presenting as part of the AGU Scientific Program; read on for a schedule of their talks and posters.</p>
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<p></style></p>
<div class="img_l" style="width: 150px;margin:0px 10px -10px 0px;">
<a href="https://fallmeeting.agu.org/2022/">
<img width="150" src="/blog_content/images/2023/AGU23_800x800.png" alt="AGU Fall Meeting 2023" />
</a>
</div>
<p>
The American Geophysical Union will be conducting a hybrid in-person and virtual
conference for its
<a href="http://fallmeeting.agu.org/2023/">2023 Fall meeting</a>, December 11-15 2023,
with live events taking place in San Francisco, CA.
</p>
<p>
Unidata's parent organization UCAR will have a physical presence
in the AGU exhibit hall this year, come visit at
<a href="https://s23.a2zinc.net/clients/corcexpo/agu2023/Public/EventMap.aspx?shMode=E&shExhList=1">booth 807</a>!
</p>
<h5>Scientific Program</h5>
<p>Several Unidata staff members will
be presenting as part of the AGU Scientific Program; a schedule of their talks and posters is included.
You can also look at the full
<a href="https://agu.confex.com/agu/fm23/meetingapp.cgi/Home/0">Scientific Program</a> online.
</p>
<p class="highlight_box">
Unidata staff members who plan to be present in-person are marked here in <strong>Bold</strong>.<br>
Staff members who plan to be present virtually are marked here in <em>italics</em>.<br>
Staff members whose names are not otherwise emphasized are co-authors, but they may
or may not be present at the event.
<br><br>
All times listed here are Pacific Standard Time (PST).<br>
All in-person venues are at Moscone Center.
</p>
<div class="schedule" width="470px;">
<div>
<h5 style="padding-bottom:0.3em;">Monday, December 11, 2023</h5>
<table class="zebra">
<tr>
<th> Time </th>
<th> Session </th>
<th> Title </th>
<th> Location </th>
<th> UPC Staff </th>
</tr>
<tr>
<td> 14:12 - 14:22 </td>
<td> SY13A-01 </td>
<td>
<a href="https://agu.confex.com/agu/fm23/meetingapp.cgi/Paper/1415052">Facilitating Data Sovereignty and Data Governance for Environmental Monitoring on Tribal Lands</a>
</td>
<td> 016 - West (Level 2) </td>
<td>Jeff Weber</td>
</tr>
</table>
</div>
<div>
<h5 style="padding-bottom:0.3em;">Tuesday, December 12, 2023</h5>
<table class="zebra">
<tr>
<th> Time </th>
<th> Session </th>
<th> Title </th>
<th> Location </th>
<th> UPC Staff </th>
</tr>
<tr>
<td> 08:30 - 12:50 </td>
<td> SY21B-0810 </td>
<td>
<a href="https://agu.confex.com/agu/fm23/meetingapp.cgi/Paper/1452070">The Sovereign Network: A Platform for Interoperable, Convergent Science</a>
</td>
<td> Poster Hall A-C - South</td>
<td><strong>Jeff Weber</strong></td>
</tr>
<tr>
<td> 08:30 - 12:50 </td>
<td> SY21B-0811 </td>
<td>
<a href="https://agu.confex.com/agu/fm23/meetingapp.cgi/Paper/1418891">Indigenizing your research: Recommendations from the Earth Data Relations Working Group to Implement Indigenous Data Governance across Earth Sciences</a>
</td>
<td> Poster Hall A-C - South</td>
<td>Jeff Weber</td>
</tr>
<tr>
<td> 17:00 - 18:00 </td>
<td> n/a </td>
<td>
Available to chat, specifically about netCDF and CF, THREDDS, and all Unidata topics.
</td>
<td> Exhibition Hall, <a href="https://s23.a2zinc.net/clients/corcexpo/agu2023/Public/EventMap.aspx?shMode=E&shExhList=1">booth 807</a> demo area.</td>
<td><strong>Ethan Davis</strong></td>
</tr>
</table>
</div>
<div>
<h5 style="padding-bottom:0.3em;">Wednesday, December 13, 2023</h5>
<table class="zebra">
<tr>
<th> Time </th>
<th> Session </th>
<th> Title </th>
<th> Location </th>
<th> UPC Staff </th>
</tr>
<tr>
<td> 08:30 - 12:50 </td>
<td> IN31C </td>
<td>
<a href="https://agu.confex.com/agu/fm23/meetingapp.cgi/Session/192249">CF and NetCDF: 30 Years of Wide-Open Science I Poster</a>
</td>
<td> Poster Hall A-C - South</td>
<td><strong>Ethan Davis</strong> (convener)</td>
</tr>
<tr>
<td> 08:30 - 12:50 </td>
<td> IN31C-0667 </td>
<td>
<a href="https://agu.confex.com/agu/fm23/meetingapp.cgi/Paper/1431315">Updating the NetCDF User's Guide and Specifications</a>
</td>
<td> Poster Hall A-C - South</td>
<td><strong>Ethan Davis</strong>, Ward Fisher, Dennis Heimbigner, Hailey Johnson, Ryan May, Jennifer Oxelson Ganter, Douglas Dirks</td>
</tr>
<tr>
<td> 08:30 - 12:50 </td>
<td> IN31C-0674 </td>
<td>
<a href="https://agu.confex.com/agu/fm23/meetingapp.cgi/Paper/1425364">Extensible NcML for the NetCDF-Java Library and the THREDDS Data Server</a>
</td>
<td> Poster Hall A-C - South</td>
<td>Hailey Johnson, <strong>Jessica Souza</strong> (2023 intern), Tara Drwenski, Megan Lerman, Thomas Martin</td>
</tr>
<tr>
<td> 13:00 - 14:00 </td>
<td> n/a </td>
<td>
Available to chat, specifically about Unidata visualization software.
</td>
<td> Exhibition Hall, <a href="https://s23.a2zinc.net/clients/corcexpo/agu2023/Public/EventMap.aspx?shMode=E&shExhList=1">booth 807</a> demo area.</td>
<td><strong>Yuan Ho</strong></td>
</tr>
<tr>
<td> 16:00 - 17:30 </td>
<td> IN34A </td>
<td>
<a href="https://agu.confex.com/agu/fm23/meetingapp.cgi/Session/213041">CF and NetCDF: 30 Years of Wide-Open Science II Oral</a>
</td>
<td> 2010 - West (Level 2)</td>
<td><strong>Ethan Davis</strong> (convener)</td>
</tr>
<tr>
<td> 16:20 - 16:30 </td>
<td> IN34A-03 </td>
<td>
<a href="https://agu.confex.com/agu/fm23/meetingapp.cgi/Paper/1350417">Current State of netCDF Zarr Integration</a>
</td>
<td> 2010 - West (Level 2)</td>
<td><strong>Ward Fisher</strong>, Dennis Heimbigner, Hailey Johnson</td>
</tr>
</table>
</div>
<div>
<h5 style="padding-bottom:0.3em;">Thursday, December 14, 2023</h5>
<table class="zebra">
<tr>
<th> Time </th>
<th> Session </th>
<th> Title </th>
<th> Location </th>
<th> UPC Staff </th>
</tr>
<tr>
<td> 14:10 - 18:30 </td>
<td> IN43B-0617 </td>
<td>
<a href="https://agu.confex.com/agu/fm23/meetingapp.cgi/Paper/1450462">An Overview of Interactive Data Visualizations with PyVista and RAPIDS</a>
</td>
<td> Poster Hall A-C - South</td>
<td><strong>Jhamieka Greenwood</strong> (2023 intern), Thomas Martin</td>
</tr>
<tr>
<td> 14:10 - 18:30 </td>
<td> IN43C-0636 </td>
<td>
<a href="https://agu.confex.com/agu/fm23/meetingapp.cgi/Paper/1321857">Pre and Post process of the Machine Learning dataset with UNIDATA's IDV</a>
</td>
<td> Poster Hall A-C - South</td>
<td><strong>Yuan Ho</strong></td>
</tr>
</table>
</div>
<p></div></p>
https://www.unidata.ucar.edu/blogs/news/entry/summer-2023-unidata-interns-wrapSummer 2023 Unidata Interns Wrap Up Their ProjectsUnidata News2023-08-30T10:50:39-06:002023-08-30T10:50:39-06:00<div class="img_l" style="width: 225px;">
<img width="225" src="/blog_content/images/2023/20230830_interns_all.png" alt="2023 Unidata Summer Interns" />
</div>
<p>
The Unidata Program Center's three summer student interns — Jhamieka Greenwood
from Florida State University, Erin Rhoades from Metropolitan State University of
Denver, and Jessica Souza from Texas Tech University — have come to the end of
their summer appointments. After a summer of dedicated work they presented the
results of their projects to the UPC staff on July 27, 2023. You can find videos of
their presentations to the UPC staff on the
<a href="http://www.unidata.ucar.edu/community/seminars/#2023">Unidata Seminar
Series page</a>.
</p>
<p>
The Unidata Program Center's three summer student interns — Jhamieka Greenwood
from Florida State University, Erin Rhoades from Metropolitan State University of
Denver, and Jessica Souza from Texas Tech University — have come to the end of
their summer appointments. After a summer of dedicated work they presented the
results of their projects to the UPC staff on July 27, 2023. You can find videos of
their presentations to the UPC staff on the
<a href="http://www.unidata.ucar.edu/community/seminars/#2023">Unidata Seminar
Series page</a>.
</p>
<h3> Jhamieka Greenwood </h3>
<div class="img_l" style="width: 125px;;margin-top:1em;">
<a class="lightbox" title="Jhamieka Greenwood" href="/blog_content/images/2023/20230614_jgreenwood.png">
<img width="125" src="/blog_content/images/2023/20230614_jgreenwood.png" alt="Jhamieka Greenwood" />
</a>
<div class="caption">
Jhamieka Greenwood
</div>
<p></div></p>
<p>
<a href="/community/internship/#2023jg">Jhamieka Greenwood</a>
came to Unidata hoping to expand her knowledge of graphic visualization of
atmospheric data to augment her research at Florida State University into
atmosphere-fire interactions. She focused on developing skill with two Python tools:
PyVista for visualization and RAPIDS for artificial intelligence and machine
learning capabilities.
</p>
<p>
You can read Jhamieka's take on her summer's work in
<a href="/blogs/developer/en/entry/exploring-data-visualization-technologies-at">Exploring Data Visualization Technologies at Unidata</a> over on the Unidata Developers' blog.
You can also watch the video recording of her presentation to Unidata staff over on the
<a href="/community/seminars/#2023">Seminar Series page</a>.
</p>
<h3> Erin Rhoades </h3>
<div class="img_l" style="width: 125px;;margin-top:1em;">
<a class="lightbox" title="Erin Rhoades" href="/blog_content/images/2023/20230614_erhoades.png">
<img width="125" src="/blog_content/images/2023/20230614_erhoades.png" alt="Erin Rhoades" />
</a>
<div class="caption">
Erin Rhoades
</div>
<p></div></p>
<p>
<a href="/community/internship/#2023er">Erin Rhoades</a>
came to Unidata to explore her passion for coding and data visualization in the
context of her undergraduate studies in meteorology. While solidifying her
fundamental knowledge of Python and GitHub, she worked to develop several Cookbooks
for Project Pythia and made contributions to Unidata's MetPy and Python-AWIPS
packages.
</p>
<p>
You can read about Erin's summer projects in
<a href="/blogs/developer/en/entry/exploring-python-and-open-science">Exploring Python and
Open Science: My Summer at Unidata</a> over on the Unidata Developers' blog.
You can also watch the video recording of her presentation to Unidata staff over on the
<a href="/community/seminars/#2023">Seminar Series page</a>.
</p>
<h3> Jessica Souza </h3>
<div class="img_l" style="width: 125px;;margin-top:1em;">
<a class="lightbox" title="Jessica Souza" href="/blog_content/images/2023/20230614_jsouza.png">
<img width="125" src="/blog_content/images/2023/20230614_jsouza.png" alt="Jessica Souza" />
</a>
<div class="caption">
Jessica Souza
</div>
<p></div></p>
<p>
<a href="/community/internship/#2023js">Jessica Souza</a>
came to Unidata with the goal of implementing data pre-processing capabilities into
Unidata's THREDDS Data Server, providing new datasets tuned for the needs of machine
learning algorithms. She implemented preprocessing steps such as filtering and
scaling on "raw" datasets from numerical prediction models or Earth observing satellites,
creating preprocessed variables suitable for AI/ML applications "on the fly" and
without duplicating data.
</p>
<p>
You can read Jessica's description of her summer's work in
<a href="/blogs/developer/en/entry/my-summer-with-java-implementing">My summer with Java:
Implementing dataset enhancements on THREDDS Data Server</a> over on the Unidata Developers' blog.
You can also watch the video recording of her presentation to Unidata staff over on the
<a href="/community/seminars/#2023">Seminar Series page</a>.
</p>
<h3>Stay Tuned</h3>
<p>
The Unidata Summer Internships offer undergraduate and graduate students an opportunity to
work with Unidata software engineers and scientists on projects drawn from a wide variety
of areas in the atmospheric and computational sciences. If you're a student thinking about
internships for the summer of 2024, keep Unidata in mind. Unidata's summer internships
are generally advertised in late December to early January, so be sure to check back at the end
of
the year. For reference, you can take a look at the
<a href="/community/internship/">Internship page</a>.
</p>
<p>
We at the Program Center certainly enjoyed having Jhamieka, Erin, and Jessica working beside us
this summer, and we wish them the best of luck in their future endeavors.
</p>
https://www.unidata.ucar.edu/blogs/news/entry/meet-unidata-39-s-2023Meet Unidata's 2023 Summer InternsUnidata News2023-06-28T09:18:13-06:002023-06-28T09:18:13-06:00<div class="img_l" style="width: 225px;"> <img width="225" src="/blog_content/images/2023/20230628_interns_all.png" alt="2023 Unidata Summer Interns" />
</div>
<p>
We at the Unidata Program Center are delighted to have three student interns with
us for the 2023 Summer Internship Program. Click through to read their introductions.
</p>
<p>
We at the Unidata Program Center are delighted to have three student interns with
us for the 2023 Summer Internship Program. Click through to read their introductions.
</p>
<div class="clearfix">
<div class="img_l" style="width: 100px;"> <img width="100" src="/blog_content/images/2023/20230614_jgreenwood.png" alt="Jhamieka Greenwood" />
</div>
<p style="padding-top:2.5em;">
<a href="https://www.unidata.ucar.edu/blogs/news/entry/welcome-summer-intern-jhamieka-greenwood">Welcome Summer Intern Jhamieka Greenwood</a>
</p>
<p></div></p>
<div class="clearfix">
<div class="img_l" style="width: 100px;"> <img width="100" src="/blog_content/images/2023/20230614_jsouza.png" alt="Jessica Souza" />
</div>
<p style="padding-top:2.5em;">
<a href="https://www.unidata.ucar.edu/blogs/news/entry/welcome-summer-intern-jessica-souza">Welcome Summer Intern Jessica Souza</a>
</p>
<p></div></p>
<div class="clearfix">
<div class="img_l" style="width: 100px;"> <img width="100" src="/blog_content/images/2023/20230614_erhoades.png" alt="Erin Rhoades" />
</div>
<p style="padding-top:2.5em;">
<a href="https://www.unidata.ucar.edu/blogs/news/entry/welcome-summer-intern-erin-rhoades">Welcome Summer Intern Erin Rhoades</a>
</p>
<p></div></p>
<p>
</p>
<p></div></p>
https://www.unidata.ucar.edu/blogs/news/entry/welcome-summer-intern-erin-rhoadesWelcome Summer Intern Erin RhoadesUnidata News2023-06-28T09:11:52-06:002023-06-28T09:11:52-06:00<div class="img_l" style="width: 200px;">
<img width="200" src="/blog_content/images/2023/20230614_erhoades.png" alt="Erin Rhoades" />
<div class="caption">
Erin Rhoades
</div>
<p></div></p>
<p>
Erin Rhoades joined the Unidata Program Center as a student summer intern on May 22,
2023. She is a professional meteorology major pursuing a minor in mathematics; she
is in her fourth undergraduate year at Metropolitan State University of Denver (MSU).
</p>
<div class="img_l" style="width: 200px;">
<a class="lightbox" title="Erin Rhoades" href="/blog_content/images/2023/20230614_erhoades.png">
<img width="200" src="/blog_content/images/2023/20230614_erhoades.png" alt="Erin Rhoades" />
</a>
<div class="caption">
Erin Rhoades
</div>
<p></div></p>
<p>
Erin Rhoades joined the Unidata Program Center as a student summer intern on May 22,
2023. She is a professional meteorology major pursuing a minor in mathematics; she
is in her fourth undergraduate year at Metropolitan State University of Denver (MSU).
</p>
<p>
“I had always been fascinated with the weather since I was a child. My favorite
childhood memories are watching Hurricane Central and amateur storm chasing with my
father,” says Erin. “After a decade of working in Veterinary medicine,
I decided to chase my
childhood dream of becoming a Meteorologist and began attending MSU Denver in Fall
2020.”
</p>
<p>
During her coursework at MSU Denver, she discovered a passion for coding and data
visualization, which led her to Unidata. “Unidata caught my eye because I
wanted to be able to expand my knowledge of the coding world while helping others
learn more about coding and the wonderful tools and resources Unidata has to
offer,” she says. Erin also appreciated Unidata's focus on not only providing
data services and tools, but on helping people learn how to use them. “This
allows scientists to spend more time being scientists and less time being frustrated
with the tools meant to help them,” she adds.
</p>
<p>
This summer, Erin plans to solidify her fundamental knowledge of Python and GitHub,
working to develop several Cookbooks for Project Pythia. “These can help teach
others the fundamental skills behind the code they contain and apply these skills to
future projects.” she says. “I also look forward to exploring the
Python side of Python AWIPS.”
</p>
<p>
Away from the computer screen, Erin likes to spend her time outside enjoying the peace
and quiet nature has to offer, or inside cross stitching, playing video games, or baking.
</p>
<p>
Please join us in welcoming Erin to the Program Center for the summer!
</p>
https://www.unidata.ucar.edu/blogs/news/entry/welcome-summer-intern-jessica-souzaWelcome Summer Intern Jessica SouzaUnidata News2023-06-28T09:11:43-06:002023-06-28T09:11:43-06:00<div class="img_l" style="width: 200px;">
<img width="200" src="/blog_content/images/2023/20230614_jsouza.png" alt="Jessica Souza" />
<div class="caption">
Jessica Souza
</div>
<p></div></p>
<p>
Jessica Souza joined the Unidata Program Center as a student summer intern on May 22,
2023. She completed her undergraduate in Meteorology at the University of São Paulo
and her Master's degree in Atmospheric Science at Texas Tech University. Currently,
she is pursuing a PhD in Geosciences with a minor in Mathematics at Texas Tech
University.
</p>
<div class="img_l" style="width: 200px;">
<a class="lightbox" title="Jessica Souza" href="/blog_content/images/2023/20230614_jsouza.png">
<img width="200" src="/blog_content/images/2023/20230614_jsouza.png" alt="Jessica Souza" />
</a>
<div class="caption">
Jessica Souza
</div>
<p></div></p>
<p>
Jessica Souza joined the Unidata Program Center as a student summer intern on May 22,
2023. She completed her undergraduate in Meteorology at the University of São Paulo
and her Master's degree in Atmospheric Science at Texas Tech University. Currently,
she is pursuing a PhD in Geosciences with a minor in Mathematics at Texas Tech
University.
</p>
<p>
“It has been rewarding to explore tools and methods to solve problems and to
create visualizations to highlight specific results,” says Jessica. “The
rapid increase of the amount of available data demands skills to create efficient,
reproducible and well-documented code. This opportunity will allow me to learn
software engineering best practices from Unidata software engineers and scientists,
and incorporate these valuable skills into my PhD research and future work.”
</p>
<p>
This summer, Jessica will be working with Unidata's THREDDS Data Server development
team. “I will be working in implementing preprocessing steps such as filtering and
scaling on the raw datasets available for download. This will provide the user the
option to download the dataset containing preprocessed variables for more straight
forward applications in AI/ML,” she says.
</p>
<p>
Jessica will also be contributing to the MetPy project. “I’m interested in
improving the accessibility of Metpy Mondays weekly code tutorials. There is a
persistent demand for the material used in the videos, and making it more easily
accessible would allow students and educators to take full advantage of Metpy
Mondays' rich archive,” says Jessica. Having the Metpy Mondays codebase
available will also facilitate code maintenance and ensure the long-term
reproducibility of the tutorials. In addition, “understanding users' feedback
based on comments, likes, and views could help drive the approach and topics covered
in future videos,” she adds.
</p>
<p>
Aside from working at Unidata this summer, Jessica can’t wait to explore the hikes
in Boulder. When she is not coding or working on her research, you can find her
drinking matcha, doing High Intensity Interval Training, and learning German,
French, and Swedish.
</p>
<p>
Please join us in welcoming Jessica to the Program Center for the summer!
</p>
https://www.unidata.ucar.edu/blogs/news/entry/welcome-summer-intern-jhamieka-greenwoodWelcome Summer Intern Jhamieka GreenwoodUnidata News2023-06-28T09:11:31-06:002023-06-28T09:13:03-06:00<div class="img_l" style="width: 200px;">
<img width="200" src="/blog_content/images/2023/20230614_jgreenwood.png" alt="Jhamieka Greenwood" />
<div class="caption">
Jhamieka Greenwood
</div>
<p></div></p>
<p>
Jhamieka Greenwood joined the Unidata Program Center as a student summer intern on May 29,
2023. After receiving a Bachelor's degree in Chemistry from Florida A&M University,
she worked with the Florida Department of Environmental Protection before earning a
Master's degree in Computational Science from Florida State University (FSU). Jhamieka is
now pursuing a PhD in Computational Science at FSU.
</p>
<div class="img_l" style="width: 200px;">
<a class="lightbox" title="Jhamieka Greenwood" href="/blog_content/images/2023/20230614_jgreenwood.png">
<img width="200" src="/blog_content/images/2023/20230614_jgreenwood.png" alt="Jhamieka Greenwood" />
</a>
<div class="caption">
Jhamieka Greenwood
</div>
<p></div></p>
<p>
Jhamieka Greenwood joined the Unidata Program Center as a student summer intern on May 29,
2023. After receiving a Bachelor's degree in Chemistry from Florida A&M University,
she worked with the Florida Department of Environmental Protection before earning a
Master's degree in Computational Science from Florida State University (FSU). Jhamieka is
now pursuing a PhD in Computational Science at FSU.
</p>
<p>
“It’s been amazing working at UCAR’s Unidata as an intern! I have been
learning so much and meeting so many people in the atmospheric science community,”
says Jhamieka. “Already, I have been able to expand my knowledge of graphic
visualization of atmospheric data using PyVista and Rapids.” In the first weeks
of her time at Unidata this summer, Jhamieka has begun incorporating her work into
interactive Jupyter notebooks to assist fellow learners. “These will be great
skills to bring back to my work at my Computational Science PhD program,” she adds.
</p>
<p>
This summer, Jhamieka will be working on a hydrodynamic solver to investigate
atmosphere-fire interactions related to her PhD research. “I also find
educational outreach important in academia,” she says. “It is important
to share knowledge, and Unidata is a perfect fit because we both share that goal.”
</p>
<p>
Please join us in welcoming Jhamieka to the Program Center for the summer!
</p>
https://www.unidata.ucar.edu/blogs/news/entry/why-are-gpus-exciting-forWhy are GPUs Exciting for Machine Learning Research?Unidata News2023-04-20T13:17:54-06:002023-04-20T13:17:54-06:00<div class="img_l" style="width: 150px;">
<img width="150" src="/blog_content/images/2023/20230429_gpu_a100-pcie-3QTR.png" alt="NVIDIA A100 graphics card"/>
</div>
<p>
Machine Learning systems are often configured around Graphics Processing Units (GPUs)
rather than Central Processing Units (CPUs). Why should this be the case, in an era
when CPUs are powerful and (relatively) inexpensive?
This article provides some insights into what GPUs are and why they provide advantages
for certain types of computations, including some commonly used for machine learning
and modeling.
</p>
<p class="byline">
By Thomas Martin with Julien Chastang and Ana Espinoza of the Unidata Program Center
</p>
<div class="img_l" style="width: 150px;">
<a class="lightbox" title="High-end graphics cards like this NVIDIA A100 are quite pricey -- this one currently sells for about 8000 USD. Yet another reason to look into cloud-based GPUs." href="/blog_content/images/2023/20230429_gpu_a100-pcie-3QTR.png">
<img width="150" src="/blog_content/images/2023/20230429_gpu_a100-pcie-3QTR.png" alt="NVIDIA A100 graphics card"/>
</a>
<div class="caption">
A high-end GPU (click to expand)
</div>
<p></div></p>
<p>
Machine Learning systems are often configured around Graphics Processing Units (GPUs)
rather than Central Processing Units (CPUs). Why should this be the case, in an era
when CPUs are powerful and (relatively) inexpensive?
</p>
<p>
First, let's discuss what a GPU is. A GPU is a specialized piece of hardware that
was initially used to process visual information and drive the data needed for
large, high resolution monitors. Historically, an upgraded GPU was needed for 3D
game rendering and engineering/architectural modeling or data visualization. Now we
can use this specialized hardware to perform certain types of math very efficiently
and at scale, specifically for machine learning. In previous roles, I would fill up
large CPU clusters without any GPUs to do subsurface geophysical modeling; now we
can do similar modeling at scale on a handful of GPUs. Today, GPU manufacturers are
creating GPUs built specifically for machine learning and modeling, as opposed to
visual rendering tasks.
</p>
<div class="img_r" style="width: 150px;">
<a class="lightbox" title="Relative speed-ups of NVIDIA GPUs compared to a dual-socket Intel Xeon E5-2660v4 server." href="/blog_content/images/2023/20230419_gpu_catboost.png">
<img width="150" src="/blog_content/images/2023/20230419_gpu_catboost.png" alt="graph comparing speedup with different GPUs"/>
</a>
<div class="caption">
Relative speedups for different GPUs.
</div>
<p></div></p>
<p>
For large datasets, the speed increase provided by even a relatively inexpensive GPU
over a beefy server CPU can be impressive. A technique called
<a href="https://en.wikipedia.org/wiki/Gradient_boosting">gradient boosting</a>
is particularly useful for predictive models that analyze ordered (continuous) data. The figure
at right compares the speedup provided over a powerful Intel Xeon E5-2660v4 CPU-based server
(with 56 logical cores and 512GB of RAM)
by different CPUs ranging from the 300 USD NVIDIA K40 to the roughly 14000 USD NVIDA V100.
You can read the <a href="https://developer.nvidia.com/blog/catboost-fast-gradient-boosting-decision-trees/">blog post from NVIDIA</a>
for more details, but the speed improvements for machine learning tasks are significant.
</p>
<h2>Can you use any GPU for machine learning?</h2>
<p>
Short answer: No. Most machine learning software support is designed to take advantage
of relatively new NVIDIA products. Installing
NVIDIA/CUDA drivers is not for the faint of heart; this is one reason (besides cost!)
to use a cloud service. A high-end NVIDIA GPU can cost around 1000 USD, but a year of Google
Colab (see below) is 120 USD. Relatively new Apple products have GPUs that can be accessed with
special software, but these workflows and use cases are far from ubiquitous.
</p>
<h2>Does every project need GPUs?</h2>
<p>
For many projects with less than a million data points using scikit-learn type of
models, there is no need to use a GPU. Larger or image-based datasets could see a significant
improvement in runtime or useability when using a GPU. Using Google Colab or other
platforms, anyone can learn how to use a GPU for smaller problems.
</p>
<h2>Python Packages that use GPU capabilities</h2>
<p>
While the landscape is changing fast, the main packages that I use that support
using a GPU are below:
</p>
<ul>
<li>
<a href="https://www.tensorflow.org/guide/gpu">Tensorflow</a>
</li>
<li>
<a href="https://wandb.ai/wandb/common-ml-errors/reports/How-To-Use-GPU-with-PyTorch---VmlldzozMzAxMDk">PyTorch</a>
</li>
<li>
<a href="https://catboost.ai/en/docs/features/training-on-gpu">CatBoost</a>
</li>
<li>
<a href="https://xgboost.readthedocs.io/en/stable/gpu/index.html">XGBoost</a>
</li>
<li>
<a href="https://rapids.ai/">RAPIDS AI</a>
</li>
</ul>
<h2>Access to Cloud GPUs</h2>
<p>
If you do not have access to local hardware with a modern GPU, there are various
commercial cloud hosted products that can help with access. <a
href="https://colab.research.google.com/">Google Colaboratory</a>
(Colab) is the service I recommend. They have a free version suitable for many
tasks; their least expensive paid tier (Colab Pro) costs 10 USD per month.
Paperspace, AWS Sagemaker, Azure ML are other similar products that use a Jupyter
Notebook interface.
</p>
<p>
Through Unidata's Science Gateway, hosted on the NSF-funded Jetstream2 Cloud, Earth
Systems Science professionals, educators, and students can access a GPU enabled JupyterHub
server. For more information on how to request a free dedicated server, please contact
Unidata Science Gateway staff at
<a href="mailto:support-gateway@unidata.ucar.edu">support-gateway@unidata.ucar.edu</a>.
We’d love to hear about your exciting new projects!
</p>
<h2>Other Resources:</h2>
<ul>
<li><a href="https://www.analyticsvidhya.com/blog/2020/09/why-gpus-are-more-suited-for-deep-learning/">Why GPUs are more Suited for Deep Learning</a></li>
<li><a href="https://en.wikipedia.org/wiki/Graphics_processing_unit">Wikipedia Article on GPUs</a></li>
<li><a href="https://www.nvidia.com/content/dam/en-zz/Solutions/Data-Center/a100/pdf/a100-80gb-datasheet-update-nvidia-us-1521051-r2-web.pdf">NVIDIA A100 Fact Sheet (GPUs on Jetstream2)</a></li>
</ul>
<div class="highlight_box">
<p>
Thomas Martin is an AI/ML Software Engineer at the Unidata Program Center. Have questions?
Contact <a href="mailto:support-ml@unidata.ucar.edu">support-ml@unidata.ucar.edu</a>
or book an office hours meeting with Thomas on his
<a href="https://calendar.app.google/ZsM8dLHLa65eGAr39">Calendar</a>.
</p>
</div>