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Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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Volume 20, issue 10
Hydrol. Earth Syst. Sci., 20, 4177–4190, 2016
https://doi.org/10.5194/hess-20-4177-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Hydrol. Earth Syst. Sci., 20, 4177–4190, 2016
https://doi.org/10.5194/hess-20-4177-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 17 Oct 2016

Research article | 17 Oct 2016

Describing the interannual variability of precipitation with the derived distribution approach: effects of record length and resolution

Claudio I. Meier et al.
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Barlow, M., Nigam, S., and Berbery, E. H.: ENSO, Pacific decadal variability, and US summertime precipitation, drought, and streamflow, J. Climate, 14, 2105–2128, 2001.
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Dai, A. G.: Drought under global warming: a review, Wiley Interdisc. Rev. Climate Change, 2, 45–65, 2011.
Dai, A. G., Trenberth, K. E., and Qian, T. T.: A global dataset of Palmer Drought Severity Index for 1870–2002: Relationship with soil moisture and effects of surface warming, J. Hydrometeorol., 5, 1117–1130, https://doi.org/10.1175/JHM-386.1, 2004.
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We show that the derived distribution approach is able to characterize the interannual variability of precipitation much better than fitting a probabilistic model to annual rainfall totals, as long as continuously gauged data are available. The method is a useful tool for describing temporal changes in the distribution of annual rainfall, as it works for records as short as 5 years, and therefore does not require any stationarity assumption over long periods.
We show that the derived distribution approach is able to characterize the interannual...
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