Seminar: Introducing NEDAS: a Light-weight and Scalable Python Solution for Ensemble Data Assimilation

seminar
Apr. 30, 2024

1:00 – 2:00 pm MDT

Mesa Lab Main Seminar Room and Virtual

Speaker: Yue (Michael) Ying, Nansen Environmental and Remote Sensing Center (NERSC)

 

Abstract

The Next-generation Ensemble Data Assimilation System (NEDAS) provides a light-weight Python solution for implementing ensemble data assimilation methods for geophysical models. Thanks to its modular and scalable design, a wide range of ensemble assimilation algorithms become feasible for large-dimensional models. NEDAS provides a collection of state-of-the-art algorithms from existing research software using two main strategies: (1) serial assimilation where observations are used one at a time to update the model state iteratively, (2) batch assimilation where observations are in a local analysis for each model state. One can test new algorithmic ideas in NEDAS and compare them with existing methods early-on before committing resources to full implementation in a real operational setting. In this talk, I’ll describe the architectural design of NEDAS, highlight some new algorithmic ideas, and show some computational benchmarks as a guidance for picking the right algorithm in different application scenarios.

Biography

Yue Ying, aka Michael, is currently working as a DA researcher at the Nansen Environmental and Remote Sensing Center in Norway. He had his PhD in meteorology in PennState studying the predictability of multiscale tropical weather systems, then invented a multiscale alignment” approach to tackle the nonlinearity in DA problems. Now, he continues to develop new DA methods and apply them to the modeling of the Arctic systems.

 

Presentation Slides

Seminar Recording

Contact

Please direct questions/comments about this page to:

Kristen Pierri

Seminar: Effective use of student part-time employees @ CHPC as part of the University of Utah's "Student University Development Opportunity" (SUDO) program

seminar
Mar. 28, 2024

1:00 pm MDT

Mesa Lab Main Seminar Room and Virtual

Speaker: Brian D. Haymore, University of Utah Center for High Performance Computing

 

Abstract

A look at how CHPC has been using Student Part-Time employees for the last 2 decades and how things have improved and changed with the development of the campus SUDO program as it came online in 2015.  Areas of focus will include:

  • The structure, goals and services the SUDO program provides to the students as well as the departments using the program.
  • How CHPC uses the SUDO program to streamline our hiring process.
  • How we manage/mentor students and help encourage good student/employee balance.
  • What we do to prepare and train mentors to be effective with students.
  • What roles, tasks and projects CHPC utilizes students with.
  • How the program fits into our workforce development goals as a department.
  • What we see as the metrics of success with both the program and our student workers.

Biography

Brian has been with CHPC at the University of Utah for 26 years with a few years prior as a student employee doing sysadmin work on various SGI, DEC, IBM, and Sun systems. He first got involved with Linux in 1995 and it has been central to everything he's done since. Brian's current role is both the development and operations of the University of Utah's systems as well as managing the rest of the HPC admin team. He is heavily involved in CaRCC with the systems-facing track as well as the student workforce development interest group. ACM SIGHPC SYSPROS and the RMACC community are also areas he participates in regularly. For about the last 20 years he's had student workers involved in supporting their systems alongside full-time staff. The student workers are a integral part of their team.

 

Presentation Slides

Seminar Recording

 

Contact

Please direct questions/comments about this page to:

Kristen Pierri