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Advances in Meteorology
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2022
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Article
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Tab 1
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Research Article
The Prediction Algorithm and Characteristics Analysis of Kuroshio Sea Surface Temperature Anomalies
Table 1
Frequency distribution of whether Kuroshio SST is high in the total sample, training set sample, and test set sample.
Total sample (1951–2015)
Training set sample (1951–2004)
Test set sample (2005–2015)
High SST
11
7
4
No high SST
44
37
7