Annual Recurrences of Weather: “Singularities”

Brooks, C. E. P.

doi:10.1002/j.1477-8696.1946.tb00060.x

Cited by 7 publications

(7 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…59 years (from [1] Europe, according to Flohn [1], is highest during the period around 20-25 January. Parallel to this, C. E. P. Brooks [6] finds a marked increase of anticyclonic and decrease of cyclonic days over England. This, and some preliminary studies on the position of the Azores High during years when the January thaw at Boston was most pronounced, suggests that at the same time the Bermuda High moves north, the Azores High acts similarly and extends into Central Europe, while a trough develops in the Central Atlantic.…”

Section: World-wide Connectionsmentioning

confidence: 96%

See 2 more Smart Citations

The January Thaw in New England * (An Example of a Weather Singularity)

Wahl¹

1952

Bulletin of the American Meteorological Society

View full text Add to dashboard Cite

show abstract

Section: World-wide Connectionsmentioning

confidence: 96%

“…FIGURE 6 shows such a chart for Boston daily temperature averages. This graph reveals several facts:…”

Section: Frequency Isopleths Of Temperaturementioning

confidence: 99%

See 1 more Smart Citation

The January Thaw in New England * (An Example of a Weather Singularity)

Wahl¹

1952

Bulletin of the American Meteorological Society

View full text Add to dashboard Cite

show abstract

“…Despite having the longest days of the year, the June SD is the lowest out of the summer months. The reason for this is the lower number of days per month and an increase in cloud cover associated with the change of the circulation pattern over Europe and the intensification of air advection from the west and north-west (Brooks, 1946;Lamb, 1950).…”

Section: The Spatial Variability Of the Longterm Average Monthly Sdmentioning

confidence: 99%

Trends in sunshine duration in Poland (1971–2018)

Bartoszek

Matuszko

Węglarczyk

2020

Intl Journal of Climatology

View full text Add to dashboard Cite

This study aims to characterize temporal and spatial trends of sunshine duration in Poland based on data from the years 1971-2018 and to make an attempt to explain their causes. Daily sunshine duration came from 31 Polish meteorological stations. Data from 10 stations came only from a traditional Campbell-Stokes heliograph, while in the other 21 synoptic stations Campbell-Stokes heliograph was replaced with an automatic sensor in 2014 and since then only such data are available. The smallest sunshine duration occurs in December (average areal total-39.7 hr), and the highest in July (average areal total-230.1 hr). The spatial distribution of sunshine duration in Poland shows great diversity associated with different day lengths depending on latitude. In the cool part of the year (November, December, January, and February) the isolines of totals of sunshine duration run from the highest values in the south to the lowest in the north of the country, while in the months of the warm part of the year (March to September) the system is reversed. The multi-annual trends in sunshine duration in Poland are similar to the changes taking place in other parts of the world. The years 1971-1980 mark the end of "global dimming," which was manifested in very low values of actual and relative sunshine duration. "Global brightening" confirms a statistically significant growing trend in sunshine duration at all the analysed meteorological stations in Poland from April to September. There is a strong statistically significant relationship between the areal totals of sunshine duration and the type of pressure system, average monthly cloud cover, and atmospheric optical depth.

show abstract

“…The days of the month on which the latter occur are given below. Brooks (1946) has given a list of the " singularities " he has found in the weather of the British Isles which he has considered as " probably real." These are periods of anticyclonic and stormy weather which may be expected t o recur a t about the same dates each year.…”

Section: Number Of Rainless Days On Each Day Of the Year In Thementioning

confidence: 97%