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  • Atmosphere-ocean system  (1)
  • Channel inactivation  (1)
  • American Meteorological Society  (1)
  • National Academy of Sciences  (1)
  • Periodicals Archive Online (PAO)
  • Springer Nature
  • 2005-2009  (2)
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  • 1
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    American Meteorological Society
    Publication Date: 2021-05-19
    Description: Skill in ensemble-mean dynamical seasonal climate hindcasts with a coupled land-atmosphere model and specified observed sea surface temperature is compared to that for long multi-decade integrations of the same model where the initial conditions are far removed from the seasons of validation. The evaluations are performed for surface temperature and compared among all seasons. Skill is found to be higher in the seasonal simulations than the multi-decadal integrations except during boreal winter. The higher skill is prominent even beyond the first month when the direct influence of the atmospheric initial state elevates model skill. Skill is generally found to be lowest during the winter season for the dynamical seasonal forecasts, equal to that of the long integrations, which show some of the highest skill during winter. The reason for the differences in skill during the non-winter months is attributed to the severe climate drift in the long simulations, manifest through errors in downward fluxes of water and energy over land and evident in soil wetness. The drift presses the land surface to extreme dry or wet states over much of the globe, into a range where there is little sensitivity of evaporation to fluctuations in soil moisture. Thus, the land-atmosphere feedback is suppressed, which appears to lessen the model’s ability to respond correctly over land to remote ocean temperature anomalies.
    Description: Center for Ocean-Land-Atmosphere Studies
    Description: Published
    Keywords: Atmosphere-ocean system
    Repository Name: AquaDocs
    Type: Journal Contribution , Refereed , Article
    Format: 503454 bytes
    Format: application/pdf
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  • 2
    Publication Date: 2022-05-25
    Description: Author Posting. © National Academy of Sciences, 2006. This article is posted here by permission of National Academy of Sciences for personal use, not for redistribution. The definitive version was published in Proceedings of the National Academy of Sciences 103 (2006): 3675-3680, doi:10.1073/pnas.0600160103.
    Description: We investigated whether the evolution of electric organs and electric signal diversity in two independently evolved lineages of electric fishes was accompanied by convergent changes on the molecular level. We found that a sodium channel gene (Nav1.4a) that is expressed in muscle in nonelectric fishes has lost its expression in muscle and is expressed instead in the evolutionarily novel electric organ in both lineages of electric fishes. This gene appears to be evolving under positive selection in both lineages, facilitated by its restricted expression in the electric organ. This view is reinforced by the lack of evidence for selection on this gene in one electric species in which expression of this gene is retained in muscle. Amino acid replacements occur convergently in domains that influence channel inactivation, a key trait for shaping electric communication signals. Some amino acid replacements occur at or adjacent to sites at which disease-causing mutations have been mapped in human sodium channel genes, emphasizing that these replacements occur in functionally important domains. Selection appears to have acted on the final step in channel inactivation, but complementarily on the inactivation "ball" in one lineage, and its receptor site in the other lineage. Thus, changes in the expression and sequence of the same gene are associated with the independent evolution of signal complexity.
    Description: This work was funded by National Institutes of Health Grant R01 NS025513 (to H.H.Z. and Y.L.) and National Science Foundation Integrative Graduate Education and Research Traineeship Program DGE-0114387 (to D.J.Z. and D.M.H.).
    Keywords: Animal communication ; Electric organ ; Channel inactivation ; Protein evolution ; Positive selection
    Repository Name: Woods Hole Open Access Server
    Type: Article
    Format: 1274184 bytes
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