Articles | Volume 7, issue 4
Research article
10 Nov 2016
Research article |  | 10 Nov 2016

The use of regression for assessing a seasonal forecast model experiment

Rasmus E. Benestad, Retish Senan, and Yvan Orsolini


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Latest update: 17 May 2024
Short summary
Seasonal predictions have been challenging for mid-latitude regions such as Europe, and we suspect that one reason may be due to subjective choices in how the forecast models are configured. We tested how (1) the inclusion and omission of the representation of the stratosphere affect the predictions and (2) the degree of detail in the sea-ice description. The test was carried out with a set of simulations (experiments) using a technique known as "factorial regression".
Final-revised paper