Beta 1


Title Subspace Projections of Climate Related Geodata
Author Vestergaard, Jacob Schack (Informatics and Mathematical Modeling, Technical University of Denmark, DTU, DK-2800 Kgs. Lyngby, Denmark)
Supervisor Nielsen, Allan Aasbjerg (Geodesy, Danish National Space Center, Technical University of Denmark, DTU, DK-2800 Kgs. Lyngby, Denmark)
Institution Technical University of Denmark, DTU, DK-2800 Kgs. Lyngby, Denmark
Thesis level Bachelor thesis
Year 2009
Abstract The motivation for using subspace projection on climate related data is to generate - or confirm existing - hypotheses about changes in the global climate. When working with high dimensional data sets, it is necessary to simplify interpretation or reduce dimensions of the data, such that interesting features are emphasised. In this bachelor thesis a Sea Surface Height (SSH) anomaly data set from 1992- 2009 is analysed. The methods applied are Empirical Orthogonal Functions (EOF), Maximum Autocorrelation Factor (MAF), and the Infomax variant of Independent Component Analysis (ICA). These analyses are used to find descriptive subspaces, where different aspects of the data set are accentuated. There are two primary results from this exploratory data analysis. The first is that the waters south of Greenland are rising with a higher rate than the global average. The second is that the Kuroshio Current moves south in the buildup phase of the 1997-1998 El Ni~no. These results are brought to attention by interpretation of temporal MAF analysis and ICA respectively. These results can make base of new hypotheses about the rising waters, and the behaviour of the El Nino Southern Oscillation (ENSO).
Pages 61
Series IMM-B.Sc.-2009-09
Fulltext
Original PDF bac09_09.pdf (2.10 MB)
Admin Creation date: 2009-07-01    Update date: 2011-10-10    Source: dtu    ID: 246072    Original MXD