Algorithmic Optimal Control - CO2 uptake of the ocean
News:
- following an invitation by Prof. Dr. Rene Pinnau, Malte Prieß will be guest at the working group „Technomathematik“ at the Department of Mathematics, TU Kaiserslautern from March 23-26, 2010
- We join in the Girls'Day 2010 on April 22, 2010 (Anna Heinle)
- Prof. Dr. Thomas Slawig will give a presentation titeled "Parameter optimization and uncertainty analysis for a biogeochemical model using local and genetic algorithms" within the minisymposium Data assimilation and inverse problems in the presence of nonlinearities at the General Assembly of the European Geosciences Union in Vienna (May 2–7, 2010)
- Minisymposium "Optimization and Control for Marine Science" organized by Prof. Dr. Thomas Slawig at the 5th Scientific Computing Seminar ("Numerical Methods for Partial Differential Equations in Earth Sciences") in Kiel (Kunsthalle) from June 28–30, 2010
- Anna Heinle will participate in the 13th Conference on Cloud Physics in Portland, USA from June 28–July 2, 2010
Welcome ...
... to the research group Algorithmic Optimal Control - CO2 uptake of the Ocean. Our junior research group "Oceanic CO2-uptake" started working in September 2007 as one part of the cluster of excellence "The Future Ocean" of the German government.
What is CO2-uptake?
Oceans are able to store large amounts of carbon dioxide CO2, which is quite important for the actual climate discussion with the central topic of the greenhouse gas CO2 and its effects on the global climate changes. The change of oceanic uptake of CO2 caused by climate changes (e. g. increasing temperatures) is able to generate feedback effects. The uptake of CO2 is mainly influenced by geobiochemical mechanisms. The aims of the project A3 are sensitivity analysis and data assimilation (i. e. adaptation of model parameters to measured results) in geobiochemical models coupled to ocean circulation models. It is performed by using applied mathematics and computer science.
What is Algorithmic Optimal Control?
In the mathematical view, data assimilation is an optimization problem with partial differential equations as side condition. Suchs tasks are called problems of optimal control. These problems as a main topic of our research group are very complex in the field of mathematical analysis, numerical transformation and algorithmic realization.
Important research areas are:
Algorithmic sensitivity and gradient calculations (automatic differentiation)
Nonlinear optimization methods
Analysis and numerical mathematics of nonlinear transport equations and equations of the ocean circulation (Navier-Stokes-equations)
Analysis of optimization problems with partial differential equations