The NOAA Open Data Dissemination (NODD) Program was founded as a proof-of-concept project with the hypothesis that NOAA’s data is incredibly valuable to industry, technology start-ups, and the public. NOAA verified this hypothesis and continues to expand the work of producing publicly accessible data in the cloud which are now critical parts of the burgeoning AI weather forecasting and climate risk industries. These sectors rely upon NODD for data access, highlighting the economic value of NOAA’s data at little or no cost to the user. At the same time, there is more NOAA and programs like NODD could do to enable cutting edge applications that multiply the commercial value-add. For example, more datasets could be made available and further development of a catalog and a catalog of available application programming interfaces (APIs) could enhance discoverability and usability in programmatic workflows.
This session will explore case studies from industry and technology start-ups that illustrate the value-add of NOAA data in cloud storage, to include a panel discussion with subject matter experts that will explore opportunities for increased impact of public products and services that rely on NOAA data.
Assisstant Chief Data Officer for NOAA Staff and Corporate Offices, NOAA
Special Advisor to the Assistant Secretary of Commerce for Environmental Observation & Prediction (ASEOP) and the Alternate Designated Federal Officer (DFO) for the NOAA Science Advisory Board (SAB) in the NOAA Research Office of Science Support.
Alden is the co-founder and CTO of Upstream Tech, an environmental software company. HydroForecast is Upstream Tech's operational, theory-guided ML based streamflow forecast service used by hydropower, water supply, and environmental users around the world. Alden focuses on HydroForecast... Read More →
Earth science data is increasingly available from the cloud and due to the size of many of these dataset (Tb and Pb in some cases), data workflows are transitioning to workflows that involve programmatic access with either cloud-native analysis or server-side processing. In this workshop, participants will take part in hands-on tutorials on working with PACE hyperspectral ocean color data with Python.
Participants will be led through a series of tutorials led by a variety of researchers to illustrate how to access and use this hyperspectral data and the various products available. Examples will range from the simple, extracting PACE hyperspectral ocean color data for an animal track, to the more complex, for example bloom detection and visualization, comparison of multiple ocean color products and tracking phytoplankton functional group changes in a bloom.
The training will use the NOAA Fisheries/Openscapes JupyterHub which allows participants to go through all the tutorials without having to install any software. Through the workshop participants will be exposed to the geoscientific Python community of tools for gridded and other spatial data and geospatial computing.
This is a 3-hour hands-on workshop. Participants will be working through tutorials in Python on a JupyterHub. Everything is in the cloud and in a browser; no installation of software is required. All tutorials are open source Jupyter notebooks and will be shared.
I have been involved in training in statistics and ocean data computing for most of my career. I am currently lead of NMFS Open Science and in this role, I facilitate and run trainings in computing, data access and statistics for NOAA Fisheries. I am co-lead of the Inter-agency... Read More →
This session will focus on best practices for integrating social science data with environmental datasets to support resilient decision-making in the face of climate challenges. Starting with a discussion on the types of social data most relevant to NOAA’s mission—such as demographic, economic, and behavioral information—the panel will explore how these data sources can be combined with environmental insights to strengthen situational awareness and planning.
Panelists will address critical methods for linking social and environmental data, highlighting solutions to challenges in compatibility, data granularity, and interoperability. Using real-world examples from NOAA projects, the session will illustrate how this integration has enhanced disaster response, policy formulation, and public engagement. For instance, case studies may include efforts to map vulnerabilities in flood-prone regions or assess community responses to extreme weather warnings.
With perspectives from social scientists and data engineers, this discussion will examine the unique needs of managing social data within environmental platforms. A collaborative discussion will follow, inviting ideas for potential projects and partnerships that could further NOAA’s capability to incorporate social dimensions into climate resilience planning. This session will provide actionable insights into aligning climate and community data for effective, people-centered decision-making.
Hello! I’m Kyle, having recently joined NOAA's Weather Program Office in January . My work revolves around integrating social and weather data to enhance our research capabilities, focusing on data management and open data policies. My former research was in participatory modeling... Read More →
Recovering academic...in my previous life I studied organizational (social) networks, R&D, and innovation. Since then, I have been exploring big data, cloud computing, and knowledge graphs.
Economist, Staff Office OCFO, Performance, Risk, and Social Science Office
I am an economist, who obtained a PhD in micoreconomic theory and development economics; subsequently I also received a masters in public health. I worked on public health issues in developing countires for more than two decades. During these times among my focus was studying the... Read More →
My main research interests include ecosystem service valuation using nonmarket valuation approaches, and natural capital accounting.I studied Environmental Economics at Clark University and later became an ORISE Post-doctorate conducting research at EPA-ORD. Prior to joining NOAA... Read More →
Prior to joining NOAA, I worked in both government (USDA-ERS) and academia (UC Berkeley, American University, the Open University, and University of Kent), with a focus on international economics.
Session is intended to inform on recent developments and progress in NOAA's use of Persistent Identifiers (PIDs) for managing research outputs including data and spark discussion around the potential uses of PIDs for managing other aspects of the research lifecycle including projects, grants and software.
Jennifer Fagan-Fry is the NOAA Institutional Repository Manager & a scholarly communications librarian with the NOAA Central & Regional Libraries. In addition to her duties as repository manager, Jenn also serves as the head of the Library’s Technical Services Department. She regularly... Read More →
Jessica is the Assistant Chief Data Officer (ACDO) of the NOAA National Environmental Satellite, Data, and Information Service (NESDIS), a senior expert advisor on scientific data management, responsible for: managing the agency’s inventory of satellite data and archived data holdings... Read More →
Thursday May 22, 2025 12:00pm - 1:30pm EDT Virtual
Earth science data is increasingly available from the cloud and due to the size of many of these dataset (Tb and Pb in some cases), data workflows are transitioning to workflows that involve programmatic access with either cloud-native analysis or server-side processing. In this workshop, participants will take part in hands-on tutorials on working with PACE hyperspectral ocean color data with Python. Participants will be led through a series of tutorials led by a variety of researchers to illustrate how to access and use this hyperspectral data and the various products available. Examples will range from the simple, extracting PACE hyperspectral ocean color data for an animal track, to the more complex, for example bloom detection and visualization, comparison of multiple ocean color products and tracking phytoplankton functional group changes in a bloom. The training will use the NOAA Fisheries/Openscapes JupyterHub which allows participants to go through all the tutorials without having to install any software.
Through the workshop participants will be exposed to the geoscientific Python community of tools for gridded and other spatial data and geospatial computing. This is a 3-hour hands-on workshop. Participants will be working through tutorials in Python on a JupyterHub. Everything is in the cloud and in a browser; no installation of software is required. All tutorials are open source Jupyter notebooks and will be shared.
I have been involved in training in statistics and ocean data computing for most of my career. I am currently lead of NMFS Open Science and in this role, I facilitate and run trainings in computing, data access and statistics for NOAA Fisheries. I am co-lead of the Inter-agency... Read More →
NOAA’s mission is to understand and predict our changing environment, from the deep sea to outer space, and to manage and conserve America’s coastal and marine resources. Multi-billion dollar events are occurring at an increasing rate, with the annual average for the most recent 5 years (2020–2024) being events (CPI-adjusted). Join the plenary session to hear and ask questions about what the current gaps NOAA has with disaster resilience and what we can do to close them. Speakers include Becky Lizama from NOAA’s Senior Tribal Liaison’s, Deke Arndt the Director of NCEI, Daryl Kleist Chief of Data Assimilation at National Centers for Environmental Prediction, Matt Corey from Microsoft Weather, and Monica Youngman Chief Scientist of the NWS Office of Science and Technology Integration.
As the "Soul" of the weather products as MSN Weather, I drive integration of weather science into strong user centric methods to bring value and decision support capabilities to over 1.4 billion devices around the globe. Our scientists boast the "world's most accurate" weather... Read More →
An open discussion session where people can join and share their highlights of the EDMW and any potential new ideas or innovations that have inspired them in their own work.
The Vessel Fishing Monitoring System (VFMS) is essential in tracking and regulating fishing activities worldwide. Through satellite tracking and data analysis, VFMS aims to support sustainable fishing practices, compliance with regulations, and environmental protection. Data governance within VFMS is crucial for ensuring the integrity, security, and effective use of data collected from these systems.
