Bachelor's and Master's Projects – University of Copenhagen

Forward this page to a friend Resize Print Bookmark and Share

Climate and Computational Geophysics > Teaching and Courses > Bachelor's and Master'...

Inspiration for potential Bachelor´s and Master´s projects in Meteorology and Solid Earth Physics


The Development of Precipitation. According to IPCC climate simulations more situations with intense precipitation are expected to take place in a warmer climate in the future. To some it is already common knowledge that this has already happened, because of the several occurrences with heavy precipitation in recent years. In this project the observations of precipitation must be critically reviewed. It could be in Denmark, in Sweden or globally. The weather situations must be analyzed with a view to the stability and water content of the air.

Improved Predictions of Cloudbursts. Assimilation of radar and other relevant data in a state of the art NWP (Numerical Weather Prediction) system. The aim is to improve short term weather predictions of cloudbursts – a very hot topic within modern NWP.

Ultra Low Frequent Atmospheric Variability. Formulation and analysis of horizontal diffusion/mixing  and its effect on ultra low frequent atmospheric variability in climate models with medium to low resolution, used for paleoclimatic studies.

Realistic Parametrization in a Lagrangian based geophysical Fluid  Dynamic Model. Formulation and parametrization of a minimally artificial mixing numerical transport scheme in a geophysic fluid dynamic model. (Based on a new, hybrid Eulerian Lagrangian approach). A collaboration with Li Dong, Institute of Atmospheric Physics, CAS, Beijing.

Projects with the WRF model. WRF is NBI´s state of the art atmosphere model, which can be used for a number of student projects, including thesis and bachelor´s projects.
- Simulations of concrete weather situations, e.g. the storm in October 2013.
- What does it mean for the windsystems if we deploy 5000 10 MW windmills?

Stochastic Resonance in a Physically Based Energy Balance Model. This project is an attempt to formulate a simple, but sufficiently non-linear, physically based energy balance model of the climate system, which can produce stochastic resonance.

The Greenhouse Effect.
The greenhouse effect has increased in the last 100 years because of the continuous outlet of a series of gasses like CO2, CH4 and CFC gasses. It has not yet been possible to verify their effects on the radiation flux at the surface of the Earth directly. In this project the task is to try to verify the increasing greenhouse effect indirectly by analyzing temperature measurements at night. The idea is that cooling at the surface has declined compared to 25, 50 and 100 years ago because of the isolating effect of the greenhouse gasses.

Collaboration with DMI. Through our close collaboration with  DMI, we can present yet another series of potential projects for your inspiration. These projects must be carried out with the aid of an NBI - internal supervisor as well. Note that Peter Lang Langen and Jens Hesselbjerg at DMI can act as the only supervisor, as they are adjunct professors here at NBI. You´ll find descriptions of the projects in the link to the right.

Solid Earth Physics:

Remember that these suggestions are merely...well, suggestions!

The Dormant Yellowstone Super Volcano

Temperature variations in the subsurface can be mapped by seismic tomography.

The aim of this project is to use seismic tomography to map the structure beneath the Yellowstone National Park, showing that a giant edifice of magma chambers and channels exists under the area.

First Bayesian radar waveform tomography on real data
This project consists of 1) Field work: Radar data recorded in unknown subsurface. 2) A Physical problem: Simulating radar data. 3) An Inverse problem: Calculating the unknown (di)electrical properties in the subsurface given observed radar data and expert priori information.

Porosity Prediciton in th North Sea
The porosity of rocks determines how much water, oil or gas can be stored in the subsurface. Seismic reflection data are sensitive to porosity.

In this project we shall explore ways of interpolating porosity between boreholes, where it is known.

Depositional and Erosional History of the Norwegian Mountains
The geography of Norway is dominated by vast mountain ranges broken up by valleys and fjords. The mountains are not very high, but are at places very steep.
Some geophysicists consider the mountains to be remnants of the Caledonian Mountains (formed 490-390 million years ago), eroded to one-fifth of their original height, and would be one of the oldest still existant mountain ranges in the world. In this project we shall reconstruct the deposition and erosion in the mountains back in time, using a simple diffusion model.

The Enigmatic Gravity High in Western Jutland
The project focuses on a controversial gravity anomaly around Silkeborg in Jutland. The basic-fundamental theory for analysis of gravity anomalies must be outlined. Gravity data from Silkeborg and seismic data from the area will be used to create density model for the subsurface in the area.

Salt Structures in the Subsurface
A seismic line from the Southern North Sea shows the structural relief of folding and the exact coincidence between the synclines and thinning of Upper Permian Zechstein Group evaporites at depth (J.R. Underhill, University of Edinburgh). The structure resulted from salt withdrawal at depth. The stratigraphic relationships imply that the structure did not result from a single episode of evaporite mobility but had a long-lived growth history starting in the Mesozoic and continuing in the Cenozoic.
We shall use the structure revealed by the seismic data to explore the mechanical properties of the salt, including the flow process that formed the structure.

Develop state-of-the-art methodologies to obtain improved understanding of our Earth
•Integration of inverse problem theory and geostatistics.
•Integration of various types of data.
•Quantify geological information through geostatistics.
•Optimization vs. sampling strategies in inverse problem theory.
•Markov processes and probability theory for subsurface modelling