In a recent article entitled “Automation of 500 mb Forecasts through Successive Numerical Map Analysis” Bo R. Döös (1956) displayed charts showing the geographical distribution of correlations between observed and barotropically-computed height changes for periods of 24, 48, and 72 hours in advance.

Namias, J., 0AD. The Success of 72-hour Barotropic Forecasts in Relation to Mean Flow Patterns. Tellus A: Dynamic Meteorology and Oceanography, {volume}({issue}), p.{page}.

Namias, J. “The Success of 72-hour Barotropic Forecasts in Relation to Mean Flow Patterns”. Tellus A: Dynamic Meteorology and Oceanography, vol. {volume}, no. {issue}, 0AD, p. {page}.

Namias, J. (0AD). The Success of 72-hour Barotropic Forecasts in Relation to Mean Flow Patterns. Tellus A: Dynamic Meteorology and Oceanography, {volume}({issue}), {page}.

Namias, Jerome. 0AD. “The Success of 72-hour Barotropic Forecasts in Relation to Mean Flow Patterns”. Tellus A: Dynamic Meteorology and Oceanography {volume} ({issue}): {page}.

1. Namias J. The Success of 72-hour Barotropic Forecasts in Relation to Mean Flow Patterns. Tellus A: Dynamic Meteorology and Oceanography. 0AD;{volume}({issue}):{page}. 

1. Namias J. The Success of 72-hour Barotropic Forecasts in Relation to Mean Flow Patterns. Tellus A: Dynamic Meteorology and Oceanography. 0AD;{volume}({issue}):{page}.

Namias J, ‘The Success of 72-hour Barotropic Forecasts in Relation to Mean Flow Patterns’ (0AD) {volume} Tellus A: Dynamic Meteorology and Oceanography {page}

[1]J. Namias, “The Success of 72-hour Barotropic Forecasts in Relation to Mean Flow Patterns”, Tellus A: Dynamic Meteorology and Oceanography, vol. {volume}, no. {issue}, p. {page}, 0AD.

Original Research Papers

The Success of 72-hour Barotropic Forecasts in Relation to Mean Flow Patterns

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Abstract