Estimating 10000-year return values from short time series

@inproceedings{Brink2009Estimating1R,
  title={Estimating 10000-year return values from short time series},
  author={Henk van den Brink and G{\"u}nther P. K{\"o}nnen},
  year={2009}
}
The distribution of outliers is used as a tool for finding the extreme value distribution of meteorological parameters and to provide return values for large return periods from short records. Its potential is demonstrated for five cases. For extreme winds in the Northern Hemisphere (NH) the method shows that appropriately transformed annual maximum wind speeds can be described by a Gumbel distribution; for extreme waves it rejects the proposed adoption of an exponential distribution and points… CONTINUE READING

References

Publications referenced by this paper.
Showing 1-10 of 22 references

A fundamental probability distribution for heavy rainfall

PW Wilson, R. Toumi
Geophysical Research Letters 32: L14812. Copyright  2009 Royal Meteorological Society • 2005
View 9 Excerpts
Highly Influenced

Guide to Wave Analysis and Forecasting, 2nd edn, WMO - No.702. World Meteorological Organization: Geneva; Switzerland

E Bouws, L Draper, +7 authors JA. Battjes
1998
View 4 Excerpts
Highly Influenced

Combining regional approach and data extension procedure for assessing gev distribution of extreme precipitation in Belgium

D. Gellens
Journal of Hydrology 268: 113–126. • 2002
View 1 Excerpt
Highly Influenced

Improving the simulation of extreme precipitation events by stochastic weather generators

EM Furrer, Katz RW.
Water Resources Research 44: W12439. • 2008

The statistical distribution of meteorological outliers

HW VandenBrink, Können GP.
Geophysical Research Letters 35: L23702. • 2008

Climatology and changes of extratropical cyclone activity: comparison of ERA-40 with NCEP-NCAR reanalysis for 1958–2001

XL Wang, VR Swail, FW. Zwiers
Journal of Climate 19: 3145–3166. • 2006
View 3 Excerpts

Similar Papers

Loading similar papers…