EPIC is gearing up for its participation in the AGU Fall Meeting, taking place December 11 – 15, 2023. This meeting is the most influential event in the world dedicated to the advancement of Earth and space sciences.
The meeting will be held in San Francisco and online everywhere. More than 25,000 attendees from more than 100 countries will convene to explore the theme “Wide. Open. Science.” AGU will host a diverse community of scientists, students, journalists, policymakers, educators, and organizations who are coming together to share, inspire, collaborate, and engage as a united community grounded in open science.
The following EPIC team members will be presenting at the 2023 AGU Annual Meeting:
Abstracts
by Keven Blackman
Thursday, December 14, 2023, 8:30AM – 12:50PM PST
The Earth Prediction Innovation Center (EPIC) has created an infrastructure ecosystem that supports community application modeling across a myriad of supported platforms, from cloud-based high-performance computing (HPC) systems all the way down to generic MacBooks (and many more systems). This talk will highlight the importance of community infrastructure and look at advancements the program has made.
by Keven Blackman
Thursday, December 14, 2023, 8:30AM – 12:50PM PST
EPIC understands that community modeling takes a significant amount of support from many community members to facilitate innovation. EPIC’s mission is to accelerate contributions to the Unified Forecast System (UFS), and engaging the community is a key tenant to make sure members have the tools and knowledge needed to be successful. This presentation will explain the multitude of ways that EPIC engages students, government, academia, and industry to ensure that there are no roadblocks to the innovation to operations (I2O) process.
by Jong Kim
Thursday, December 14, 2023, 10:30AM – 10:40PM PST
The Noah-MP land surface model has been introduced into the UFS. In assessing the impact of the Noah-MP multi-parameterization schemes, we discuss the use of the UFS Land Data Assimilation System for the sensitivity analysis of various tunable soil and snow parameters. This sensitivity study is a pre-screening demonstration of how internal parameters of the Noah-MP model can be optimized to best fit observed state variables.
by Mark Potts
Thursday, December 14, 2023, 3:00PM – 3:10PM PST
In collaboration with NOAA-PSL and the Joint Center for Satellite Data Assimilation (JCSDA), EPIC is working towards a coupled approach to data assimilation (DA) that will eliminate most of the intensive I/O processes by passing model states and analyses between the JEDI DA system and the coupled UFS model entirely in memory. This discussion will detail the approach being implemented and the successes to date.
Partner Abstracts
Monday, December 11, 2023
NOAA Booth Presentation: EPIC AS A CATALYST for NOAA’s Future Earth Prediction System
Tuesday, December 12, 2023
Thursday, December 14, 2023
Community Modeling and Open Innovation to Advance Earth Prediction Systems I Poster
Got Code? Join the UFS Community!
What makes a successful community model? Lessons learned from WAVEWATCH III
spack-stack: A reproducible, many-platform software stack for operational weather applications
Advances in Data Assimilation and Uncertainty Quantification for Water Resources Management I Oral
Community Modeling and Open Innovation to Advance Earth Prediction Systems II Oral
IMPROVING EARTH SYSTEM MODELS VIA HIERARCHICAL SYSTEM DEVELOPMENT
Presenters
Keven Blackman
Solutions Architect
Keven Blackman has been working in computer science and meteorology for over 21 years and has been involved in weather programs across NOAA, Air Force, DOD, and industry. He has led weather programs related to Air Force support applications, numerical weather modeling, cloud architecture, and cloud data migration. Currently, Keven serves as Solutions Architect for the EPIC Program and is honored to be charged with driving community contributions to the UFS Weather Model. Keven graduated from the University of Illinois, Springfield with a master’s in computer science. He is currently completing a doctorate in information technology with a focus on blockchain and machine learning.
Jong Kim
Code Management Team Product Owner
Jong Kim works as the product owner of EPIC’s Code Management Team to support the UFS Weather Model and UFS application releases and development. Jong’s decades-long career has been focused on numerical weather forecasting and climate modeling. Before joining EPIC, he worked as a lead support scientist and software engineer at NOAA/NCEP/EMC (Environmental Modeling Center) and NASA/GMAO (Global Modeling and Assimilation Office). His early career also included a computational scientist position at the Mathematics and Computer Science Division of the DOE Argonne National Laboratory. He received his Ph.D. from the University of Utah.
Mark Potts
Solutions Architect
Mark Potts graduated from the University of Colorado, Boulder with a Ph.D. from the Program for Atmospheric and Oceanic Sciences. Mark has worked for several organizations, including the Department of Defense, NASA, and private industry, before coming to NOAA in 2015 as a senior computational scientist for the Environmental Modeling Center. He has 25 years of experience in scientific research and HPC software development. Currently, Mark is leading the effort to couple the JEDI data assimilation system directly to the UFS forecast model in order to enable in-core data assimilation for production forecasts.
