Speaker
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Katie LandryKatie Landry-Guyton currently serves as the Senior Service Hydrologist for the National Weather Service (NWS) in Houston, TX. Her primary role is to serve as the liaison between the local weather forecast office, the West Gulf River Forecast Center, local emergency managers and hydrologic stakeholders in southeast Texas. In her tenure, she has worked numerous high-impact flooding events such as Hurricane Harvey and Tropical Storm Imelda where she provided hydrologic decision support services to core partners for resource placement, emergency response, and recovery efforts. Prior to joining the Houston office in 2017, Katie earned a B.S. in Geosciences from Mississippi State University in 2012, and worked as a Hydrometeorologist for the Lower Mississippi River Forecast Center in Slidell, LA, from 2012 to 2017.
Local Time
- Timezone: America/New_York
- Date: Sep 18 2026
- Time: 11:30 AM - 12:30 PM
National Oceanic and Atmospheric Administration Atlas 15 Rainfall Data
NOAA is transitioning from the regional, state-funded Atlas 14 precipitation frequency standard to the comprehensive, federally funded NOAA Atlas 15. The current Atlas 14 methodology, while foundational for civil engineering infrastructure planning, relies on piecemeal regional publishing and the assumption of statistical stationarity—limitations that lead to boundary discontinuities and fail to account for temporal trends in precipitation extremes. Enabled by the 2022 Bipartisan Infrastructure Law, NOAA Atlas 15 introduces a seamless national dataset that incorporates temporal trends, offering more informed decision-making and improved uncertainty communication for critical infrastructure design. This presentation will provide an overview of the Atlas 15 development framework, insights from the 2024 Montana pilot study, and the projected rollout schedule for CONUS (2026) and OCONUS (2027) regions. Attendees will learn how this new standard aims to supersede existing estimates, providing engineers with consistent, future-ready precipitation frequency data for enhanced resilience in planning and design.
