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Lanzante, John R.; Harnack, Robert P. (2011)
Publisher: Co-Action Publishing
Journal: Tellus A
Languages: English
Types: Article
A study of summer sea surface temperature anomalies in the eastern North Pacific Ocean was undertaken to examine some of the processes that could affect their evolution and which may be important for their prediction. An empirical approach was utilized. The factors considered include sea surface temperature (SST) persistence (due to the relatively large heat capacity of the water), oceanic thermal advection, and wind mixing (which presumably acts through changes in the mixed layer depth of the ocean). The primary variable studied was the summer SST anomaly for each of 25, 5° latitude by 10° longitude boxes in the region 140°W-170°E, 30–55° N. Thirty years of data were used (1947–76). Diagnostic analyses using data from four Ocean Weather Stations (C, D, P and V) were performed prior to the analyses described above in order to examine wind mixing more closely. Only at the OWS's are high frequency (3 hour), measured wind speeds available at the same location as SST observtions for a long period of time. These analyses indicated a statistically significant lag relationship between average April and May monthly wind speed and subsequent summer SST at Station P. The monthly mean SLP gradient was used as an estimate of average monthly wind speed over the 25 box domain where measured winds are not routinely available. In addition, winds derived from daily sea level pressure (SLP) analyses were averaged to form monthly means. At most boxes, no significant lag relationship between summer SST anomalies and spring (April and May) winds was found using either wind data set. The box-averaged data were employed to specify the summer SST from the components of the total horizontal thermal advection (based on the mean and anomalous components of the surface current and SST fields). The anomalous summer surface current advecting the mean summer SST field was found to be the dominant horizontal advective term affecting the local time rate of change of SST, particularly for 40–50° N. Substitution of derived May anomalous currents for those of summer greatly diminished the strength of the relationship. In the predictive portion of the study, skill relative to persistence was marginal based upon dependent sample testing. Thus, in the predictive mode neither wind mixing (as parameterized here) nor oceanic thermal advection added very much information not contained in the initial SST anomaly field. However, persistence alone exhibited considerable skill, particularly in the northeastern portion of the domain.DOI: 10.1111/j.1600-0870.1983.tb00202.x
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    • Adeni, J. 1970. Incorporation of advection of heat by mean winds and by ocean currents in a thermodynamic model for long-range weather prediction. Mon. Wea. Rev. 98, 776-786.
    • Adeni. J. 1970. On the prediction of mean monthly ocean temperature. Tellus 2 2 , 4 10-430.
    • Arthur, R. S. 1966. Estimation of mean monthly anomalies of sea-surface temperature. J . Geophys. Res. 71,2689-2690.
    • Barnett, T. P. 1978. The role of the oceans in the global climate system. In Climatic change. Chapter 10, Cambridge University Press.
    • Bathen, K. H. 1972. On the seasonal changes in the depth of the mixed layer in the North Pacific Ocean. J . Geophys. Res. 77.7 138-7 150.
    • Brooks, C. E. P. and Carruthers, N. 1978. Handbook of statistical methods in meteorology. London: Her Majesty's Stationery Office, 245-254.
    • Budyko, M. 1955. Heat balance atlas. U.S. Dept. of Commerce, no. TT63-13243.
    • Camp, N. T. and Elsberry, R. L. 1978. Oceanic thermal response to strong atmospheric forcing, 11. The role of one-dimensional processes. J . Phys. Oceanogr. 8 , 2 15-224.
    • Clark, N. E. 1972. Specification of sea surface temperature anomaly patterns in the eastern North Pacific. J. Phys. Oceanogr. 2, 39 1 4 0 4 .
    • Davis, R. E. 1976. Predictability of sea surface temperature and sea level pressure anomalies over the North Pacific Ocean, J . Phys. Oceanogr.6,249-266.
    • Davis, R. E. 1977. Techniques for statistical analysis and prediction of geophysical fluid systems. Geophys. Astrophys. Fluid Dyn. 8 , 245-277.
    • Davis, R. E. 1978. Predictability of sea level pressure anomalies over the North Pacific Ocean. J. Phys. Oceanogr.8,233-245.
    • Dept. of the Navy Oceanographic Office 1977. Surface CurrentslNorth Central Pacific Ocean. Washington, D.C., Spec. Pub. 1402 NP8.
    • Dept. of the Navy Oceanographic Office 1977. Surface CurrentslGulf of Alaska. Washington, D.C., Spec. Pub. 1402-NP6.
    • Dept. of the Navy Oceanographic Office 1977. Surface CurrentslNorth Central North Pacific Ocean. Washington, D.C., Spec. Pub. 1402-NP8.
    • Dept. of the Navy Oceanogrpahic Office 1977. Surface CurrentslNortheast North Pacific Ocean Including the West Coast of the United States. Washington, D.C., Spec. Pub. 1402-NP9.
    • Eber, L. E. 1961. Effects of wind-induced advection on sea surface temperature. J. Geophys. Res. 66, 839- 844.
    • Elsberry, R. L. and Camp, N. T. 1978. Oceanic thermal response to atmospheric forcing, I. Characteristics of forcing events. J. Phys. Oceanogr.8, 206-2 14.
    • Elsberry, R. L. and Garwood, R. W. 1978. Sea-surface temperature anomaly generation in relation to atmospheric storms. Bull. Amer. Meteorol. SOC.59, 786-789.
    • Elsberry, R. L. and Raney, S. D. 1978. Sea-surface temperature response to variations in atmospheric wind forcing. J. Phys. Oceanogr. 8, 88 1-887.
    • Haney, R. L. 1980. A numerical case study of the development of large-scale thermal anomalies in the central North Pacific Ocean. J. Phys. Oceanogr. 10, 541-556.
    • Haney, R. L., Shiver, W. S. and Hunt, K. H. 1978. A dynamic-numerical study of the formation and evolution of large-scale ocean anomalies. J . Phys. Oceanogr.8,952-969.
    • Helwig, J. T. and Council, K. A. 1979. SAS user's guide. SAS Institute, Inc., Raleigh, 494 pp.
    • Jacob, W. J. 1967. Numerical semiprediction of monthly mean sea surface temperature. J. Geophys. Res. 72, 1681-1689.
    • Namias, J. 1959. Recent seasonal interactions over the northern Pacific from summer 1962 through the subsequent winter. J. Geophys. Res. 6 4 , 6 3 1-646.
    • Namias, J. 1965. Macroscopic associations between mean monthly sea-surface temperature and the overlying winds. J . Geophys. Res. 70,2307-23 18.
    • Namias, J. 1972. Experiments in objectively predicting some atmospheric variables for the winter of 1971- 1972. J.Appl. Meteorol. 1 1 , 1164-1 174.
    • Namias, J. 1976. Negative ocean-air feedback systems over the North Pacific in the transition from warm to cold seasons. Mon. Wea.Rev. 104, 1107-1121.
    • Preisendorfer, R. W. 1979. Model skill and model significance in linear regression hindcasts. Scripps Institution of Oceanogrpahy Reference Series, La Jolla, CA,, No. 79-12.
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