[ESIP-all] Environmental Information Processing Technologies (EIPT) sessions at the upcoming American Meteorological Society (AMS) meeting

Tiffany C. Vance tiffany.c.vance at noaa.gov
Fri Jul 14 14:11:41 EDT 2023


AMS is meeting in Baltimore in January 2024.  The theme of the meeting
is "Living
in a Changing Environment"
EIPT has a wide set of sessions that may be of interest to ESIP members.
 See
https://annual.ametsoc.org/index.cfm/2024/program-events/conferences-and-symposia/40th-conference-on-environmental-information-processing-technologies/
for full details.  The deadline for submitting abstracts is 24 August 2023.

Sessions include:

Cloud Computing for Big Data in Atmosphere, Ocean, and Climate (Joint with
23rd Conference on Artificial Intelligence for Environmental Science, 15th
Symposium on Advances in Modeling and Analysis Using Python, and the Tenth
Symposium on High Performance Computing for Weather, Water, and Climate).

 Weather imposes constraints on human activity. As a consequence, most
decision-makers/planners seek awareness to mitigate or eliminate weather
impacts. As datasets become larger and larger, new and improved tools to
work with Big Data are critical. This session welcomes contributions from
research fields such as scientific visualization, information visualization
or visual analytics that are applicable to large data sets from
climatology, meteorology or related disciplines. Presentations on using
cloud computing for analyzing satellite and model data for weather, ocean,
or climate relevant applications will also be welcomed.

Democratizing Data: Environmental Data Access and its Future (Joint with
27th Conference of Atmospheric Librarians International)

One of the tenets of big data is the idea of the (2,4, 7) V’s - Volume,
Velocity, Variety, Variability, Veracity, Visualization, and Value. With
the increase in the volume and velocity of data, access becomes ever more
challenging. Users have access to more types of data and they can become
overwhelmed by the possibilities. In the past, data access has been
confusing but now there is more user engagement in building friendlier and
more usable interfaces. Discovery is now more flexible and all encompassing
- for example using schema.org to enable data discovery and via Google
search. This increased use of data is not limited to scientists and other
professionals. Citizens use data more than they realize (maps, elevation
charts, tides, etc.) so they are constantly accessing data from a variety
of sources.

There remains a broader community goal to have improved data access with
the aim of democratizing data by removing gatekeepers so that data are
unrestricted and available in a meaningful way to all. Improved access to
data also supports data equity - “The term “data equity” captures a complex
and multi-faceted set of ideas. It refers to the consideration, through an
equity lens, of the ways in which data is collected, analyzed, interpreted,
and distributed.” By making data more easily accessed and used we also make
the ability to use data more equitable.

We want to gather a set of papers that bring together all aspects of the
data access process with a focus on improving data access for a wide range
of users. We propose the following structure:

   - data discoverability
   - data access
   - data and service equity
   - data usability
   - user interface/engagement/input
   - visualization tools
   - reproducibility and tracing - after access

Platforms for reproducible research and reusable tools will accelerate the
analytics enterprise and build the salience, credibility, and legitimacy
required to effectively inform policy. This session will highlight emerging
open-science tools and platforms for weather and climate-security analysis.


Using Big Data Repositories: Open Data Feeding Open Science

(Joint with 23rd Conference on Artificial Intelligence for Environmental
Science, 15th Symposium on Advances in Modeling and Analysis Using Python,
the Tenth Symposium on High Performance Computing for Weather, Water, and
Climate, 27th Conference of Atmospheric Librarians International, and the
Board on Data Stewardship )

Following up in the annual Big Data Town Hall, this session seeks
presentations on the use of big data repositories including the NOAA Open
Data Dissemination Program (former Big Data Program) the NASA Open-Source
Science Initiative, and open data repositories hosted by various cloud
vendors. Talks on data access, but also on the use of these data for
analyses are welcome.  Data can be atmospheric, oceanic or terrestrial.

Please feel free to email me if you have any questions.

-- 
Tiffany C. Vance, Ph.D.
Ocean Technology Transition (OTT) Program Manager

US IOOS Program  Seattle, WA

“There are no boring  landscapes, only landscapes we haven't learned to
see.”- Paul Groth

"To be what you are is one thing, to be what you want -- now that's
something else."
- Ferron
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