Yue (Michael) Ying

NERSC Ensemble Data Assimilation System

Under construction...

2D vortex dynamic model

A two-dimensional vortex with simple vorticity dynamics, for testing multiscale data assimilation algorithms with alignment techniques: rankine.

Quasi-geostrophic system

A multiscale DA algorithms testbed written in Python, the QG model from Dr. Shafer Smith is used as the dynamical system: QG_Multiscale_DA

The PSU_WRF_EnKF data assimilation system

The Pennsylvania State University Ensemble Kalman Filter system for the Weather Research and Forecasting model (PSU_WRF_EnKF) originated from Fuqing Zhang's project code when he was a postdoc at NCAR. The project was a proof of concept for radar data assimilation for the convective-scale weather. It quickly evolved and became a reseach testbed for ensemble data assimilation methods and their application to various weather systems. It was also developed into a quasi-operational hurricane ensemble forecast system. The PennState ADAPT center currently host the PSU_WRF_EnKF system development team, and aims to further apply data assimilation and predictability techniques to many fields beyond weather prediction.

The PSU_WRF_EnKF code should be downloaded from the official Code Release Page.

I contributed to the development of the PSU_WRF_EnKF system as Fuqing's PhD student. In 2012, I rewrote the Fortran MPI parallel algorithms and increased the efficiency of the system. I also participated in the development of assimilation capability for satellite radiance data and many other types of observing systems. By the time I graduate in 2018, I wrote this Technical Note to comprehensively document the current system and describe its components.

Lorenz-96 system

A toy system for testing data assimilation algorithms using the Lorenz-96 model: L96_DA

Shallow water models

Matlab code for demonstration of the shallow-water systems: 1D model, 2D model

Supercomputer Cluster User Guide

In 2009, as I started my master degree program in Peking University, I learned how to use high performance supercomputers and worked as a part-time system administrator for a small 32-node cluster hosted in the Department of Atmospheric Science. I wrote this Cluster User Guide V2 (in Chinese) to help fellow students learn how to use the cluster system for their research. The document received more attention than I expected, it was even circulating among students and researchers outside Peking University.