• Chelton, D. B., Schlax M. A. , and Samelson R. M. , 2011: Global observations of nonlinear mesoscale eddies. Prog. Oceanogr., 91, 167216, doi:10.1016/j.pocean.2011.01.002.

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  • Mason, E., Pascual A. , and McWilliams J. C. , 2014: A new sea surface height–based code for oceanic mesoscale eddy tracking. J. Atmos. Oceanic Technol., 31, 11811188, doi:10.1175/JTECH-D-14-00019.1.

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    Contour plots of Canary Eddy Corridor mean eddy counts per 1° square per year and eddy polarity from (top) py-eddy-tracker and (bottom) CSS11, and (left) anticyclone counts (), (middle) cyclone counts (), and (right) polarity . Regions in the polarity maps where either 0.25 or 0.25 are masked.

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CORRIGENDUM

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  • 1 Instituto Mediterráneo de Estudios Avanzados, Esporles, Illes Balears, Spain
  • | 2 Institute of Geophysics and Planetary Physics, University of California, Los Angeles, Los Angeles, California
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Corresponding author address: E. Mason, IMEDEA, C./Miquel Marquès 21, Esporles 07190, Islas Baleares, Spain. E-mail: emason@imedea.uib-csic.es

Corresponding author address: E. Mason, IMEDEA, C./Miquel Marquès 21, Esporles 07190, Islas Baleares, Spain. E-mail: emason@imedea.uib-csic.es

As a result of an inadvertent coding error in Mason et al. (2014), the data presented in Fig. 2 and nine values presented in the first three columns of Table 1 were incorrect. These relate to the concentrations of anticyclones and cyclones and their polarities observed by the py-eddy-tracker and Chelton et al. (2011, hereinafter CSS11), respectively. The maps presented in Fig. 2 of Mason et al. (2014) were meant to describe mean eddy counts per square degree per year; instead, the published maps show eddy observations per square degree per year. The Pearson correlation coefficients in Table 2 of Mason et al. (2014) are correct but are based on the data in Fig. 2, such that they also erroneously relate to counts of eddy observations. Corrected concentration maps based on eddy counts are provided in Fig. 2 below, and the related Pearson correlations are in Table 1 below. We apologize for these errors, and note that they do not affect in any way the interpretation of our results from the py-eddy-tracker code.

Fig. 2.
Fig. 2.

Contour plots of Canary Eddy Corridor mean eddy counts per 1° square per year and eddy polarity from (top) py-eddy-tracker and (bottom) CSS11, and (left) anticyclone counts (), (middle) cyclone counts (), and (right) polarity . Regions in the polarity maps where either 0.25 or 0.25 are masked.

Citation: Journal of Atmospheric and Oceanic Technology 32, 7; 10.1175/JTECH-D-15-0084.1

Table 1.

Pearson correlation coefficients (r) between anticyclonic (AC) and cyclonic (CC) eddy concentrations and eddy polarity (P), as defined in Fig. 2, from py-eddy-tracker and CSS11 for three analysis domains: Canary Eddy Corridor (CEC; 18.5°–31.5°N, 35.5°–12.5°W), South Atlantic Ocean (SAO; 49°–16°S, 69°W–29°E), and southeast Pacific (SEP; 30°–10°S, 145°–68°W). For all correlations, 0.01.

Table 1.

REFERENCES

  • Chelton, D. B., Schlax M. A. , and Samelson R. M. , 2011: Global observations of nonlinear mesoscale eddies. Prog. Oceanogr., 91, 167216, doi:10.1016/j.pocean.2011.01.002.

    • Search Google Scholar
    • Export Citation
  • Mason, E., Pascual A. , and McWilliams J. C. , 2014: A new sea surface height–based code for oceanic mesoscale eddy tracking. J. Atmos. Oceanic Technol., 31, 11811188, doi:10.1175/JTECH-D-14-00019.1.

    • Search Google Scholar
    • Export Citation
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