At this year’s American Meteorological Society (AMS) Annual Meeting, there are several sessions within the 41st Conference on Environmental Information Processing Technologies (EIPT) that may be of interest to the Pangeo community!
The Meeting
The AMS Annual Meeting will be in New Orleans January 12 - 16, 2025 Home - 2025 AMS Annual Meeting
Please take a look at the travel info + list of all sessions there!
The Symposium
The EIPT conference is one of many conferences within the meeting - we have a broad range of sessions to submit to:
- Cloud Computing for Big Data in Atmosphere, Ocean, 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.
- Cloud-Based User Services to Support Data Use in the User Community
- Environmental data, from historical observations to upcoming missions and field campaigns, is becoming increasingly more accessible in the cloud. Cloud access supports the broader community goal of open science as data are more readily accessible and can be accessed across organizations. Operating within the cloud still primarily supports experienced users and is difficult for new users to navigate. This session encourages submissions that address the challenges faced by new users to systems and tools that have been created to enhance the user experience with these data whether for data discovery, visualization, or analysis. The presented work may include, but is not limited to: data recipes, data and information curation efforts, data processing (transformation/subsetting) and analysis tools/APIs, science notebooks, structured document database development, data discovery tools, and software tips among developers.
- Data Quality and Provenance for Artificial Intelligence (AI) and Machine Learning(ML) Applications
- As Artificial Intelligence (AI) and Machine Learning (ML) usage in weather, water, and climate applications increases, the quality and provenance of data used for model training and application are also evolving to become increasingly important. We explored tough questions with a panel session at the 2023 AMS Washington Forum, such as: What ground truth is used in model training? Are the limitations of ground truth data considered? The Annual Meeting provides an opportunity to continue and add further definition and guidance to the conversation. Specific items to be considered include, but are not limited to: 1) What kinds of filtering, processing, or transformations are applied to the data between original observations or model runs and ingest/usage by the AI/ML user, and where these changes are best applied; 2) Measures of quality and context surrounding a given data set, including whether the associated metadata are sufficiently complete to understand these aspects; 3) Measures of the appropriateness for a given type of data to solve a given type of problem. This session will explore how we ensure traceability and selection of the best data possible for a given AI/ML application to maximize accuracy and effectiveness to the respective end users.
- Democratizing Data: Environmental Data Access and Its Future
- 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.
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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.
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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
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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.
- Developing Cloud-Based Tools for Data Analysis and Archiving
- Cloud-based technologies continue to evolve and mature in their use and application. This session will delve into the growing use of cloud hosting solutions applied to benefit the environmental sciences and specifically applications for data analysis, visualization and archiving of environmental information. This session encourages submissions on these topics, focusing on how submitters are incorporating cloud-based applications into their work, what they have done, and what advantages this approach has provided to their efforts.
- FAIR and Open Data and Software within the Atmospheric and Ocean Sciences to Support Transparent, Reusable, and Efficient Research and Operations