Historical changes in Australian temperature extremes as inferred from extreme value distribution analysis

Geophysical Research Letters

Volumn 40, Issue 3, 2013, Pages 573-578

  Wang, Xiaolan L ^a   Trewin, Blair ^b   Feng, Yang ^a   Jones, David ^b  

^a ENVIRONMENT CANADA   (Canada)

^b BUREAU OF METEOROLOGY   (Australia)

Author keywords

generalized extreme value distribution; generalized Pareto distribution; historical changes in temperature extremes; surface sir temperature extremes

Indexed keywords

WIND EFFECTS;

EXTREME TEMPERATURES; EXTREME VALUE DISTRIBUTIONS; GENERALIZED EXTREME VALUE (GEV) DISTRIBUTIONS; GENERALIZED EXTREME VALUE DISTRIBUTION; GENERALIZED PARETO DISTRIBUTIONS; MAXIMUM TEMPERATURE; MINIMUM TEMPERATURES; TEMPERATURE EXTREMES;

FORESTRY;

AIR TEMPERATURE; DATA SET; DIURNAL VARIATION; HIGH TEMPERATURE; HISTORICAL RECORD; NINETEENTH CENTURY; SPATIOTEMPORAL ANALYSIS; TEMPORAL PERIOD;

ALGORITHMS; AUSTRALIA; MATHEMATICAL ANALYSIS; SEASONAL VARIATION; TEMPERATURE;

AUSTRALIA;

EID: 84878165296     PISSN: 00948276     EISSN: 19448007     Source Type: Journal    
DOI: 10.1002/grl.50132     Document Type: Article

References (19)

1. Alexander, L.V., et al. (2006), Global observed changes in daily climate extremes of temperature and precipitation, J Geophys Res, 114, D18116.
2. Alexander, L.V, et al. (2007), Trends in Australia's climate means and extremes: A global context, Aust. Met. Mag., 56, 1-18.
3. Brown, S.J., J. Caesar, and, C.A.T. Ferro, (2008), Global changes in extreme daily temperature since 1950, J Geophys Res, 113, D05115.
4. Caires, S,. (2007), Extreme wave statistics-Confidence intervals. WL|Delft Hydraulics Report H4803.30. 35 pp.
5. Cannon, A. J., (2010), A flexible nonlinear modelling framework for nonstationary generalized extreme value analysis in hydroclimatology, Hydrol Process, 24 (6), 673-685.
6. Coles, S,. (2001), An Introduction to the Statistical Modelling of Extreme Values. Springer Texts in Statistics, Springer-Verlag, London, 208 pp.
7. Coles, S., and, E. Simiu, (2003), Estimating uncertainty in the extreme value analysis of data generated by a hurricane simulation model, J. Engrg. Mech., 129 (11), 1288-1294.
8. Collins, D.A., et al. (2000), Trends in annual frequencies of extreme temperature events in Australia, Aust. Met. Mag., 49, 277-292.
9. CSIRO and Bureau of Meteorology (2010), State of the Climate, CSIRO, Melbourne, 6 pp, available online at http://www.csiro.au/en/Outcomes/Climate/ Understanding/State-of-the-Climate-2010.aspx.
10. Donat M.G., and, L.V. Alexander, (2012), The shifting probability distribution of global daytime and night-time temperatures, Geophys Res Lett, 39, L14707, doi: 10.1029/2012GL052459.
11. Fawcett, R.J.B., et al. (2012), On the sensitivity of Australian temperature trends and variability to analysis methods and observation networks. CAWCR Technical Report 50, Centre for Australian Weather and Climate Research, Melbourne, 60 pp, available online at cawcr.gov.au/publications/ technicalreports/CTR-050.pdf.
12. Hansen, J., M. Sato, and, R. Ruedy, (2012), Perception of climate change, Proc Natl Acad Sci, 109, 14726-14727, E2415-E2423, doi: 10.1073/pnas. 1205276109.
13. Hosking, J.R.M., J.R. Wallis, and, E.F. Wood, (1985), Estimation of the generalized extreme-value distribution by the method of probability-weighted moments, Technometrics, 27, 251-261.
14. IPCC (2012), Managing the risk of extreme events and disasters to advance climate change adaptation. A special report of working groups I and II of the Intergovernmental Panel on Climate Change, edited by, Field, C. B., et al. 582 pp., Cambridge University Press, Cambridge, UK, and New York, USA.
15. Plummer, N., et al. (1999), Changes in climate extremes over the Australian region and New Zealand during the twentieth century, Clim Chang, 42, 183-202.
16. Trewin, B. C., (2012), A daily homogenized temperature data set for Australia, Int. J. Climtol., published online 13 June 2012, doi: 10.1002/joc.3530.
17. Trewin, B., and, R Smalley, (2013), Changes in extreme temperatures in Australia, 1910 to 2011. In: Proceedings of The 2013 AMOS National Conference, Melbourne, Australia, 11-13 February 2013.
18. Wang, X.L., et al. (2010), New techniques for detection and adjustment of shifts in daily precipitation time series, J. Appl. Met. Climatol., 49, 2416-2436.
19. Zwiers, F.W., X. Zhang, and, Y. Feng, (2011), Anthropogenic influence on long return period daily temperature extremes at regional scales, J. Clim., 24, 881-892.