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A framework for benchmarking of homogenisation algorithm performance on the global scale

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Academic year: 2017

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Figure 1. Station locations coloured by length of record for version1 of the ISTI Land Meteorological Databank stage 3 (recommended merged version) version 1.0.0 (source: Fig
Table 1. Known inhomogeneities between observed air temperature and the ambient air temperature representative of a given location in terms of problems, possible causes and effects, physical solutions, and possible implementations in modelling a benchmark.
Figure 2. Example summary graph of algorithm skill for five hy- hy-pothetical methods across six analogue-error worlds measured as trend-percentage recovery
Table 2. Example contingency table for assessing change-point location detection and inhomogeneity adjustment skill (option shown in brackets) of homogenisation algorithms
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