Abstract
Iberian rainfall variability is studied by means of the rain sequences generated by a first order Markov chain model, during 1940–1998. The precipitation distribution shows great differences in terms of the Hurrell index with the largest sequences at the Atlantic zone and the shortest sequences at the Mediterranean area. The probability of n consecutive days and their sequences is checked by the χ2 test against observational data. In another model we could note low persistence in actual precipitation. Variations in the Hurrell index sign differences allow us to make improvements suggest to the model. The first order Markov chain model would allows us regionalise the precipitation in the Iberian Peninsula.
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© 2001 Springer-Verlag Berlin Heidelberg
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Conejo, S., Morata, A., Valero, F. (2001). First Order Markov Chain Model and Rainfall Sequences in several Stations of Spain. In: India, M.B., Bonillo, D.L. (eds) Detecting and Modelling Regional Climate Change. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-04313-4_36
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DOI: https://doi.org/10.1007/978-3-662-04313-4_36
Publisher Name: Springer, Berlin, Heidelberg
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