Comparison of uncertainty sources for climate change impacts: flood frequency in England. Kay, A. L., Davies, H. N., Bell, V. A., & Jones, R. G. Climatic Change, 92(1):41–63, January, 2009.
Comparison of uncertainty sources for climate change impacts: flood frequency in England [link]Paper  doi  abstract   bibtex   
This paper investigates the uncertainty in the impact of climate change on flood frequency in England, through the use of continuous simulation of river flows. Six different sources of uncertainty are discussed: future greenhouse gas emissions; Global Climate Model (GCM) structure; downscaling from GCMs (including Regional Climate Model structure); hydrological model structure; hydrological model parameters and the internal variability of the climate system (sampled by applying different GCM initial conditions). These sources of uncertainty are demonstrated (separately) for two example catchments in England, by propagation through to flood frequency impact. The results suggest that uncertainty from GCM structure is by far the largest source of uncertainty. However, this is due to the extremely large increases in winter rainfall predicted by one of the five GCMs used. Other sources of uncertainty become more significant if the results from this GCM are omitted, although uncertainty from sources relating to modelling of the future climate is generally still larger than that relating to emissions or hydrological modelling. It is also shown that understanding current and future natural variability is critical in assessing the importance of climate change impacts on hydrology.
@article{kay_comparison_2009,
	title = {Comparison of uncertainty sources for climate change impacts: flood frequency in {England}},
	volume = {92},
	issn = {1573-1480},
	shorttitle = {Comparison of uncertainty sources for climate change impacts},
	url = {https://doi.org/10.1007/s10584-008-9471-4},
	doi = {10.1007/s10584-008-9471-4},
	abstract = {This paper investigates the uncertainty in the impact of climate change on flood frequency in England, through the use of continuous simulation of river flows. Six different sources of uncertainty are discussed: future greenhouse gas emissions; Global Climate Model (GCM) structure; downscaling from GCMs (including Regional Climate Model structure); hydrological model structure; hydrological model parameters and the internal variability of the climate system (sampled by applying different GCM initial conditions). These sources of uncertainty are demonstrated (separately) for two example catchments in England, by propagation through to flood frequency impact. The results suggest that uncertainty from GCM structure is by far the largest source of uncertainty. However, this is due to the extremely large increases in winter rainfall predicted by one of the five GCMs used. Other sources of uncertainty become more significant if the results from this GCM are omitted, although uncertainty from sources relating to modelling of the future climate is generally still larger than that relating to emissions or hydrological modelling. It is also shown that understanding current and future natural variability is critical in assessing the importance of climate change impacts on hydrology.},
	language = {en},
	number = {1},
	urldate = {2018-10-04},
	journal = {Climatic Change},
	author = {Kay, A. L. and Davies, H. N. and Bell, V. A. and Jones, R. G.},
	month = jan,
	year = {2009},
	keywords = {Emission Scenario, High Return Period, Potential Evaporation, Regional Climate Model, Return Period},
	pages = {41--63},
}

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