[ Welcome ][ Group ][ Research ][ Publications ][ CV ][ MISC ][ My Christian Blog ][ Church Stuff ]
Recent Book “Inverse Modeling” … Roland at the Chinese University of Hong Kong Oct 2016
Data Assimilation and Inverse Problems
Our Division for Data Assimilation (FE12) of the German Weather Service (DWD)
is working on data assimilation for numerical weather prediction (NWP).
The research of our group at the University of Reading, UK, is concerned with
inverse problems and data assimilation in three areas:
numerical weather prediction (NWP),
cognitive neuroscience / neural field theory (NFT),
inverse scattering problems / remote sensing.
These are extremely exciting areas scientifically and very important for society,
for example for air traffic, severe weather warnings and national energy supply,
in medicine by medical imaging and for many industrial and environmental questions.
May 31-Jun 2, 2017, Jeju Island, Korea. “International Workshop on Real Time NWP Forecast System” with a strong Data Assimilation component https://www.kiaps.org/eng/main.do
, Invited Speaker
March 27-29, 2017, Berlin, International conference on “Scaling Cascades in Complex Systems” by the Collaborative Research Center 1114
, Minisymposium on “balanced data assimilation”
to be held in Minnesota, May 15-19, 2017, Member of Scientific Committee, Paper Submission is now open
Nov 28, 2016, Imperial College
, London, Mathematics of the Planet Earth, Coordination Meeting, joint PhD project with Prof. Dan Crisan
(Imperial) and Prof. Peter-Jan van Leeuwen (Reading)
Nov 22, 2016, Colloquium Talk
Institute of Numerical and Applied Mathematics, University of Göttingen, Germany
at the EUMETSAT Conference “30 years Eumetsat” on Future Perspectives of Numerical Weather Prediction, Darmstadt Sept 2016
at the Workshop on Data Assimilation in Terrestrial Systems, Sept 2016 in Bonn
Lecturer on the EMS Workshop
on Basic Data Assimilation Concepts, Annual Meeting of the European Meteorological Society, Triste Sept 11, 2016
at “Mathematics in Imaging” Workshop at the Conference of the Optical Society of America, Heidelberg July 25-30, 2016. Programm PDF
Invited talk at CREST International Symposium on Big Data Application, Tokyo, Japan, March 4-5: Web
Invited talk at the workshop High-Dimensional Statistical Models & Big Data: Methodology & Applications held at the British Library, London on 10 to 12 February 2016 WebpageProgramme
SINATRA Annual Science Meeting ECMWF Reading Jan 13-15, 2016 Weblink
Workshop: Stochastic Modelling in GFD, data assimilation, and non-equilibrium phenomena, see Workshop on Web
Book “Neural Fields”
including simulation and inversion in cognitive neuroscience now available Book at Springer
. Since its online publication on May 12, 2014, there has been a total of 4,409 chapter downloads (June 10, 2015) for the eBook on SpringerLink.
For more news see IP News and
Prof. Dr. Roland Potthast
Deutscher Wetterdienst (DWD)
Frankfurter Strasse 135
63067 Offenbach, Germany
Professor for Applied Mathematics
Department of Mathematics and Statistics,
Whiteknights, PO Box 220,
Reading RG6 6AX, UK
My group consists of about 30 researchers on data assimilation and inverse problems in Frankfurt/Offenbach and
Reading (UK), see group.
My Christian Blog
Thinking about faith and life has always been a passion for me. I have become a Christian and have started to explore the world as someone who follows Jesus - that has turned out to be quite an adventure and highly exciting. In my daily blog I explore thoughts and arguments about faith, and monitor how faith works on a daily basis: Jesus Network
Recent publications can be found on publications. A book Inverse Modeling by Nakamura and Potthast with an introduction into data assimilation
and inverse problems has recently appeared at IOP.
Working in an operational center, our focus is to develop
state-of-the-art inversion methods which can be run in a reliable way on a supercomputer in near real-time. It includes
codes on scattering of waves, propagation of light and radiation, tomography, large-scale optimization and uncertainty
quanitfication, ensemble and particle methods.
However, the development of insight into the scientific problems we need to solve is an indispensible
ingredient of our daily work. Part of this insight is based on mathematical analysis and the testing of computational
methods for purpuse-built small-scale demonstration systems.
COST Action 1303 “TOPROF” Website;