Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/146124
Authors: 
Stauffer, Reto
Messner, Jakob W.
Mayr, Georg J.
Umlauf, Nikolaus
Zeileis, Achim
Year of Publication: 
2016
Series/Report no.: 
Working Papers in Economics and Statistics 2016-07
Abstract: 
Flexible spatio-temporal models are widely used to create reliable and accurate estimates for precipitation climatologies. Most models are based on square root transformed monthly or annual means, where a normal distribution seems to be appropriate. This assumption becomes invalid on a daily time scale as the observations involve large fractions of zero-observations and are limited to non-negative values. We develop a novel spatio-temporal model to estimate the full climatological distribution of precipitation on a daily time scale over complex terrain using a left-censored normal distribution. The results demonstrate that the new method is able to account for the non-normal distribution and the large fraction of zero-observations. The new climatology provides the full climatological distribution on a very high spatial and temporal resolution, and is competitive with, or even outperforms existing methods, even for arbitrary locations.
Subjects: 
climatology
precipitation
complex terrain
GAMLSS
censoring
daily resolution
JEL: 
C53
C61
Q50
Document Type: 
Working Paper

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