Quantification of multiple sources of uncertainty in hydrologic and climate modelling
Frameworks incorporating hydro-meteorologic and climate models are applied to examine potential impacts of climate change for the future time periods. The importance of analyzing these frameworks is underscored by different sources of uncertainty that contribute to the variability observed...
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Theses and Dissertations |
| Language: | English |
| Published: |
2016
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/10356/69044 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | Frameworks incorporating hydro-meteorologic and climate models are applied to
examine potential impacts of climate change for the future time periods. The
importance of analyzing these frameworks is underscored by different sources of
uncertainty that contribute to the variability observed in the models’ simulations. The
sources of uncertainty addressed in this thesis are the parametric, model, scenario,
and the downscaling uncertainty. Incorporating robust methodologies, the uncertainty
propagated by the hydrologic and climate models are analyzed. The SLURP
hydrologic model is subject to a robust and modified parametric uncertainty analysis
methodology. Different types of meteorological models are analyzed for their ability to
simulate precipitation for a multi-site tropical location utilizing spatial, statistical,
frequency and extreme value criteria. An integrated climate change impact analysis
framework incorporating hydro-meteorologic models and a climate change weather
generator is utilized to examine the scenario uncertainty. Finally, the downscaling
uncertainty is analyzed by instrumenting different downscaling approaches. |
|---|