Ensembles of leading European global coupled climate models show impressive reliability for seasonal climate prediction-including useful output for probabilistic prediction of malaria incidence and crop yield.

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Subjective estimations of age of acquisition (AoA) for a large pool of Spanish words were collected from college students in Spain. The average score for each word (based on 50 individual responses, on a scale from 1 to 11) was taken as an AoA indicator, and normative values for a total of 7,039 single words are provided as supplemental materials. Beyond its intrinsic value as a standalone corpus, the largest of its kind for Spanish, the value of the database is enhanced by the fact that it contains most of the words that are currently included in other normative studies, allowing for a more complete characterization of the lexical stimuli that are usually employed in studies with Spanish-speaking participants. The norms are available for downloading as supplemental materials with this article.

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The most frequent names in Spanish corresponding to a set of 247 pictures in the Snodgrass and Vanderwart (1980) norms were used as stimuli in a discrete free-association task. A sample of 525 Spanish-speaking participants provided the first word that came to mind for each of the verbal stimuli. Responses were organized according to frequency of production in order to prepare word-association norms for the set of stimuli.

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A normative study was conducted using the Deese/Roediger-McDermott paradigm (DRM) to obtain false recognition for 60 six-word lists in Spanish, designed with a completely new methodology. For the first time, lists included words (e.g., bridal, newlyweds, bond, commitment, couple, to marry) simultaneously associated with three critical words (e.g., love, wedding, marriage). Backward associative strength between lists and critical words was taken into account when creating the lists. The results showed that all lists produced false recognition. Moreover, some lists had a high false recognition rate (e.g., 65%; jail, inmate, prison: bars, prisoner, cell, offender, penitentiary, imprisonment). This is an aspect of special interest for those DRM experiments that, for example, record brain electrical activity. This type of list will enable researchers to raise the signal-to-noise ratio in false recognition event-related potential studies as they increase the number of critical trials per list, and it will be especially useful for the design of future research.