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Webinar: Clouds in the Cloud - Developing NOAA's Next Generation Convection-Allowing Prediction System with Cloud HPC
Thursday, 12 August 2021, 3:00
Thursday, August 12, 2021. 3:00 PM. Webinar: Clouds in the Cloud - Developing NOAA's Next Generation Convection-Allowing Prediction System with Cloud HPC. Jacob Carley, NOAA/NWS/NCEP/EMC. Sponsored by NOAA. Register here.
Abstract: The Rapid Refresh Forecast System (RRFS) is NOAA's next generation convection-allowing ensemble and is currently planned for implementation in the last quarter of 2023. The planned configuration for RRFS is ambitious and its development requires substantial computational resources. The system will cover North America at 3 km grid-spacing with 65 vertical layers having 36 members deployed for its data assimilation system and a subset of 9 members for the free forecast. The RRFS will be hourly-updating and feature forecasts out to 18 hours every hour with extensions to 60 hours 4 times per day. To develop such a system requires computational resources beyond those available on currently deployed on-prem systems.
Cloud-based high performance computing (HPC) capabilities have grown over the past several years and it is apparent that cloud HPC has a role in research and development of our numerical weather prediction systems, and perhaps in operations. In this talk we will describe our recent and ongoing work in developing and testing, in real-time at NOAA testbeds, a prototype RRFS ensemble forecast system using cloud infrastructure.
Bio(s): Jacob Carley received his PhD from Purdue University in 2012 as an NSF Graduate Research Fellow on the topic of hybrid 3DEnVar convective-scale radar reflectivity assimilation. Following his PhD he joined EMC as a postdoc where he worked on data impact studies for renewable energy applications. Later he joined IM Systems Group where he worked on data assimilation for the Real Time Mesoscale Analysis (RTMA) and North American Mesoscale (NAM) systems. He joined the federal workforce in 2018 and is currently a physical scientist within EMC's Modeling and Data Assimilation branch where he leads the collaborative Rapid Refresh Forecast System (RRFS) development project at EMC.