A generalized method of time series decomposition into significant components including probability assessments of extreme events and application to observational German precipitation data
The analysis of climate variability realized in time series of observational data needs adequate statistical methods. In particular, it is important to estimate reliably significant structured components like the annual cycle, trends, the episodic component and extreme events including variations of...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Borntraeger
2005-07-01
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| Series: | Meteorologische Zeitschrift |
| Online Access: | http://dx.doi.org/10.1127/0941-2948/2005/0039 |