FOUR DIMENSIONAL DATA ASSIMILATION
Peter M. Lyster, PhD
Current address:
Program Director
Division of Discovery Science & Technology
National Institute of Biomedical Imaging and Bioengineering
National Institutes of Health, DHHS
6707 Democracy Bvd. Suite 200
Bethesda, MD 20892-5469
(301) 402-1337
(301) 480-1614 FAX
lysterp@mail.nih.gov
http://www.nibib.nih.gov
Former address:
NASA/Goddard Space Flight Center, Global Modeling and Assimilation Office
View the paper "The Computational Complexity and Parallel Scalability of Atmospheric Data Assimilation Algorithms" by P.M. Lyster, J. Guo, T. Clune, and J.W. Larson.
I was the Principal Investigator on the NASA High Performance Computing and Communications (HPCC) Earth and Space Sciences (ESS) Project (now known as the NASA Earth-Sun System Technology Office Computational Technologies Project). Here is the HPCC Round 2 Final Report: Four Dimensional Data Assimilation of the Atmosphere. July 4, 2000.
Here are summary reports for earlier years in the HPCC project.
View an article on my work at the Data Assimilation Office that appeared in the HPCC Insights Magazine.
View my article on the Computational Complexity of Atmospheric Data Assimilation.
View my Earth Science Data Page.
For an introduction to my HPCC work, view my article for Supercomputing97, which appeared in November 1997. This summarizes the DAO computing effort leading up to a Fortran 90, distributed-memory (MPI), Goddard Earth Observing System (GEOS-3) Data Assimilation System (DAS). The GOES-3 DAS will be used in support of the NASA's Earth Science Enterprise in 1999 and beyond.
I also have an extended abstract for my invited talk Atmospheric Data Assimilation at the 16th International Conference on the Numerical Simulation of Plasmas in Santa Barbara, February 1998.
I also have a number of short articles and slides from talks that discuss scientific and computing aspects of Atmospheric Four Dimensional Data Assimilation.
I am involved in the project: Atmospheric Constituent Assimilation using the Kalman Filter Members of the team are:
Stephen E. Cohn, Richard Ménard, Lang-Ping Chang, and myself.
To view a paper that describes the Lagrangian filter, including code validation procedures and scientific results, can be found at the following link.
View GMAO Home Page
View NASA Goddard Space Flight Center Home Page
View NASA Headquarters Home Page
View the University of Maryland ESSIC Home Page
