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Bias-corrected regional climate projections of extreme rainfall in south-east Australia
- Source :
- Theoretical and Applied Climatology. 130:1085-1098
- Publication Year :
- 2016
- Publisher :
- Springer Science and Business Media LLC, 2016.
-
Abstract
- This study presents future changes in extreme precipitation as projected within the New South Wales and Australian Capital Territory Regional Climate Modelling (NARCliM) project’s regional climate ensemble for south-east Australia. Model performance, independence and projected future changes were considered when designing the ensemble. We applied a quantile mapping bias correction to the climate model outputs based on theoretical distribution functions, and the implications of this for the projected precipitation extremes is investigated. Precipitation extremes are quantified using several indices from the Expert Team on Climate Change Detection and Indices set of indices. The bias correction was successful in removing most of the magnitude bias in extreme precipitation but does not correct biases in the length of maximum wet and dry spells. The bias correction also had a relatively small effect on the projected future changes. Across a range of metrics, robust increases in the magnitude of precipitation extreme indices are found. While these increases are often in-line with a continuation of the trends present over the last century, they are not found to be statistically significant within the ensemble as a whole. The length of the maximum consecutive wet spell is projected to remain at present-day levels, while the length of the maximum dry spell is projected to increase into the future. The combination of longer dry spells and increases in extreme precipitation magnitude indicate an important change in the character of the precipitation time series. This could have considerable hydrological implications since changes in the sequencing of events can be just as important as changes in event magnitude for hydrological impacts.
- Subjects :
- Atmospheric Science
010504 meteorology & atmospheric sciences
0208 environmental biotechnology
Magnitude (mathematics)
Climate change
02 engineering and technology
01 natural sciences
020801 environmental engineering
13. Climate action
Climatology
Climate ensemble
Range (statistics)
South east
Environmental science
Climate model
Precipitation
0105 earth and related environmental sciences
Quantile
Subjects
Details
- ISSN :
- 14344483 and 0177798X
- Volume :
- 130
- Database :
- OpenAIRE
- Journal :
- Theoretical and Applied Climatology
- Accession number :
- edsair.doi...........00ffb295fce6efda4aa07d4a061d4430
- Full Text :
- https://doi.org/10.1007/s00704-016-1949-9