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The value of independent component analysis in identifying climate processes
We find that ICA could make a useful contribution through the identification of the land based seasonal cycle and the ocean based seasonal cycle. These qualities mean that ICA may further prove a useful tool in the problem of identifying components of climate change signals from ensembles of multipl...
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| Format: | Thesis |
| Language: | English |
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Department of Environmental and Geographical Science
2015
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| _version_ | 1867613226184736769 |
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| access_status_str | Open Access |
| author | Kent, Michael |
| author2 | Hewitson, Bruce |
| author_browse | Hewitson, Bruce Kent, Michael |
| author_facet | Hewitson, Bruce Kent, Michael |
| author_sort | Kent, Michael |
| collection | Thesis |
| description | We find that ICA could make a useful contribution through the identification of the land based seasonal cycle and the ocean based seasonal cycle. These qualities mean that ICA may further prove a useful tool in the problem of identifying components of climate change signals from ensembles of multiple climate models. |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/11457 |
| institution | University of Cape Town (South Africa) |
| language | eng |
| last_indexed | 2026-06-10T12:32:46.693Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2015 |
| publishDateRange | 2015 |
| publishDateSort | 2015 |
| publisher | Department of Environmental and Geographical Science |
| publisherStr | Department of Environmental and Geographical Science |
| record_format | dspace |
| source_str | UCTD — University of Cape Town Open Access Repository |
| spelling | oai:open.uct.ac.za:11427/11457 The value of independent component analysis in identifying climate processes Kent, Michael Hewitson, Bruce Stone, Dáithí Environmental and Geographical Science We find that ICA could make a useful contribution through the identification of the land based seasonal cycle and the ocean based seasonal cycle. These qualities mean that ICA may further prove a useful tool in the problem of identifying components of climate change signals from ensembles of multiple climate models. 2015-01-05T18:44:40Z 2015-01-05T18:44:40Z 2011 Master Thesis Masters MSc http://hdl.handle.net/11427/11457 eng application/pdf Department of Environmental and Geographical Science Faculty of Science University of Cape Town |
| spellingShingle | Environmental and Geographical Science Kent, Michael The value of independent component analysis in identifying climate processes |
| thesis_degree_str | Master's |
| title | The value of independent component analysis in identifying climate processes |
| title_full | The value of independent component analysis in identifying climate processes |
| title_fullStr | The value of independent component analysis in identifying climate processes |
| title_full_unstemmed | The value of independent component analysis in identifying climate processes |
| title_short | The value of independent component analysis in identifying climate processes |
| title_sort | value of independent component analysis in identifying climate processes |
| topic | Environmental and Geographical Science |
| url | http://hdl.handle.net/11427/11457 |
| work_keys_str_mv | AT kentmichael thevalueofindependentcomponentanalysisinidentifyingclimateprocesses AT kentmichael valueofindependentcomponentanalysisinidentifyingclimateprocesses |