The development of homogeneous climatological time series is a crucial step in examining climate fluctuations and change. We review and test methods that have been proposed previously for detecting inhomogeneities, and introduce a new method we have developed. This method is based on a combination o
Learning States and Rules for Detecting Anomalies in Time Series
β Scribed by Stan Salvador; Philip Chan
- Publisher
- Springer US
- Year
- 2005
- Tongue
- English
- Weight
- 870 KB
- Volume
- 23
- Category
- Article
- ISSN
- 0924-669X
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