Catchment Scale Downscaling of Hydroclimatic Variables from General Circulation Model Outputs
Download
Download
Download![[thumbnail of Sachindra Dhanapala Arachchige.pdf]](https://vuir.vu.edu.au/style/images/fileicons/text.png)
Export
Dhanapala Arachchige, Sachindra 
ORCID: 0000-0002-4022-0636
(2014)
Catchment Scale Downscaling of Hydroclimatic Variables from
General Circulation Model Outputs.
PhD thesis, Victoria University.
Abstract
Climate change influences events such as droughts, floods, extreme temperatures and sea level changes and hence affects the global food production, energy generation, and water resources adversely. Rising greenhouse gas (GHG) concentrations in the atmosphere are considered the dominant cause of climate change. General Circulation Models (GCMs) are used for the projection of climate into future, accounting for the GHG concentrations. However, the coarse spatial resolution of GCM outputs does not permit their direct use in catchment scale studies. Therefore either dynamic or statistical downscaling techniques are used for linking GCM outputs to catchment scale hydroclimatic variables.
| Additional Information | This thesis includes 2 published articles for which access is restricted due to copyright (Chapters 4, and 6). Details of access to these papers has been inserted in the thesis, replacing the articles themselves. |
| Item type | Thesis (PhD thesis) |
| URI | https://vuir.vu.edu.au/id/eprint/25798 |
| Subjects | Historical > FOR Classification > 0401 Atmospheric Sciences Current > Division/Research > College of Science and Engineering |
| Keywords | statistical downscaling; statistics; precipitation; bias-correction techniques; multi-station downscaling; GHGs; greenhouse gases concentration; climate predictions; climate change; water resources; hydrologic cycle; computer models; north-western Victoria; Grampians Wimmera Mallee Water Corporation; GWM; thesis by publication |
| Download/View statistics | View download statistics for this item |
CORE (COnnecting REpositories)