Solving large linear systems in an implicit thermohaline ocean model

The climate on earth is largely determined by the global ocean circulation. Hence it is important to predict how the flow will react to perturbation by for example melting icecaps. To answer questions about the stability of the global ocean flow, a computer model has been developed that is able to compute the flow. The ocean is influenced by the wind and by differences in salinity and temperature. Initially the use of the model was limited, because it required a large amount of computer time and of memory.This research focusses on speeding-up the ocean model. The solution of large systems of equations is by far the most time consuming part. In general there are two ways to solve such systems: via direct methods, that compute the solution in one step as accurate as possible, and via iterative methods, that makes a row of better and better approximations to the real solution and that use much less computer memory. We tried to combine both methods, but it appeared to be very hard to do that succesfully. It is better to use an iterative approach that respects and exploits the structure of the equations and the differences between variables. We designed a new algorithm for the ocean model that solves the systems based on this principle, which makes it possible to do faster and more accurate calculations.

	Title and contents
	Chapter 1
	Chapter 2
	Chapter 3
	Chapter 4
	Chapter 5
	Chapter 6
	Chapter 7
	Chapter 8
	Discussion
	Bibliography
	Samenvatting
	Dankwoord
	Complete thesis

Meer informatie in de catalogus
Meer informatie in Picarta

Afdrukken op bestelling.