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JOHN R. WEEKS

Abstract

SYNOPSIS

The histogram method of depicting features of local climate has attracted little attention, but is valuable and deserves wide application. When proper methods of computation are used it not only illustrates features of climate clearly and concisely, enabling many questions to be answered, but it aids in forecast study by separating out from the mass of obscuring data days and periods that present recurrent anomalies, so that the cause of such departures may be ascertained, studied in detail, and perhaps forecast.

The histograms (frequency polygons) resented with this paper are numerous and each contains within itself the data for the entire period of 30 years, showing by the height of each column of the polygon the per cent of times that each variate has occurred. Special features are briefly, discussed. The influence of snow cover in causing a double mode in the minimum temperature of December, January, and February especially prominent in January and giving rise to popular belief in a “January thaw,” and again in directing a skew of the curves in February and March toward 32°, is pointed out. Variations in daily cloudiness and precipitation and in 8 a. m. humidity from month to month present interesting features. An anomaly in the monthly precipitation at certain stations in January, February, March, and April for the past 75 to 100 years is mentioned for discussion at some other time.

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JOHN R. WEEKS

Abstract

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