NOAA EDMW 2022 has ended

Envisioning the Future of the NOAA Data Enterprise

September 12-16, 2022


Thank you for your interest in the 2022 NOAA EDMW. The Workshop is over, but we’re excited to announce that the session recordings are available! Just click on a session, then under the Description section click on the "Session Recording Here" link. Be patient, it can take up to 20-30 seconds for the video to display.

The Workshop featured a diverse group of sessions and presentations that cover NOAA’s strategic goals. In addition, ‘Workshop Wednesday’ provided multiple opportunities to learn about techniques, tools, and experiences that help us achieve our data and strategic goals.

We would like to especially thank everyone who submitted sessions and abstracts! This workshop wouldn’t be possible without the great submissions from our colleagues!


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Thursday, September 15 • 12:00pm - 1:30pm
4B: Why Analysis-Ready-Cloud-Optimized (ARCO) Data for Scalable Cloud Computing and Data Analytics to Support Open Science?

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Session Recording Here

Cloud computing is changing the way we traditionally do computing. Large volumes of data temporally or spatially that are diverse and complex pose challenges in how it is stored, accessed, managed, shared, visualized, and fused for answering many analytical questions.

Improving efficiency with the Infrastructure that are demand driven and automated systems of systems that enable the improved access, interoperability and portability of the systems and solutions (Infrastructure-as-Code) that are function driven and cloud optimized, are warranted. The optimized data format that is cloud ready and improves the access and interoperability with robust data structure and metadata will pave the path forward that will be centered abound the Data equity and the People/ users’ encouraging the Open Science.

For robust deployment and stable service, developing such an open framework that allows us to interoperate within systems of systems, scale using cloud computing or high-end computing, and accelerate analyses facilitated by data-proximate computing, that are reusable and collaboration agnostic is highly recommended. This scalable framework that capitalize Analysis-Ready-Cloud-Optimized (ARCO) Data driven by FAIR Data principles that supports efficient data-driven approaches such as geospatial intelligence, Artificial Intelligence (AI) including several other domains of Science to extract valuable information out of large volumes of data and developing information products that reaches large group of users with enhanced customer experience (CX) and also supports the decision making process that impacts lives of the people.

This session will focus on use cases on the ARCO, Infrastructure and migration, Analytics and visualization, Dissemination of data and information products in the cloud that will improve the Interoperability, Access and usage of NOAA Data that supports Open Science leading to Innovation . Specifically, this session will explore: (Lightning talk and panel discussion):

- the critical components of scalable cloud computing infrastructure as a service and Infrastructure as code, Open Science use case within NOAA and beyond
- the current cloud deployment practices, native cloud formats and current cloud optimized formats and optimized chunking of data formats such as Zarr.
- facilitate discussion on cloud computing and ARCO and how those are facilitated through FAIR Data Principles (Use case, discussions)
- the critical components of of cloud computing and applications including data ingest, archive, storage, visualization, distribution, modeling and analysis ready data


1. Community-driven cloud initiatives leveraging FAIR principles
- Aparna Radhakrishnan NOAA, GFDL (AR5 data), Data and Analytics Lead

2. VEDA: Open, Scalable, and Interactive System for Science Data
- Manil Maskey, Senior Research Scientist, NASA Marshall and NASA HeadQuarters

3. What is Analytics-Ready Cloud-Optimized Data and why does it matter?
- Aimee Barciauskas and Alexandra Kirk, DevelopmentSeed

4. The Open Science Challenge of Distributed Big Data
- Ilene Carpenter, Earth Sciences Segment Manager Hewlett Packard Enterprise, NOAA SAB Member

avatar for Sudhir Shrestha

Sudhir Shrestha

Technical Manager, NOAA Office of Water Prediction
Sudhir Raj Shrestha is currently serving as the Technical Manager for NWS Office of Water Prediction (OWP) Web and Data Services(WDS) program. In this role, he provides key support and leadership for the development and deployment of the Office of Water Prediction web and data services presence, including solutions on web and geospatial dissemination services in cloud and on-premise... Read More →


Thursday September 15, 2022 12:00pm - 1:30pm EDT