Singularity (climate)

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A singularity is a weather phenomenon likely to occur with reasonable regularity around a specific approximate calendar date, [1] outside of more general seasonal weather patterns (e.g., that May Day is usually warmer than New Year's Day in northern locales). The existence of singularities is disputed, some considering them due to seeing patterns in noise and statistical artifacts from small samples. [2]

Contents

In North America, the most significant purported singularities are January thaw (warmer weather around January 25) and Indian summer (warmer weather in mid-autumn).

More fanciful ones include the British tradition that rain on St. Swithun's Day (15 July) will be followed by forty days and nights of rain, and similar folk beliefs around groundhog day.

Studies

Although folk tales such as St Swithun's Day generally have little credibility, some of these events have a more solid basis. Early scientific investigation involved the creation of calendars of singularities based on temperature and rainfall anomalies. Later and more successful work by Hubert Lamb of the Climatic Research Unit was based on air circulation patterns. Lamb's work analysed daily frequency of airflow categories between 1898 and 1947. [3] Similar work was carried out by Flohn and Hess [4] in central Europe based on analysis of air flows from 1881 to 1947. [5] [6]

A 1955 study by Liverpool Observatory and Tidal Institute analysed maximum daily temperatures at a single location from 1900 to 1953. This found problems when attempting to demonstrate the statistical significance of apparent temperature anomalies. [7]

In the 1950s, E.G. Bowen suggested that some rainfall calendaricities might be explicable in terms of meteoric particles from cometary orbits acting as ice nuclei in terrestrial clouds; [8] [9] [10] his theory received support from a number of sources. [11] However, such work has now fallen out of favour due to modern dynamic modelling techniques, although articles are still being written reflecting an interest in the topic. [2]

Related Research Articles

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El Niño–Southern Oscillation (ENSO) is a climate phenomenon that exhibits irregular quasi-periodic variation in winds and sea surface temperatures over the tropical Pacific Ocean. It affects the climate of much of the tropics and subtropics, and has links (teleconnections) to higher latitude regions of the world. The warming phase of the sea surface temperature is known as El Niño and the cooling phase as La Niña. The Southern Oscillation is the accompanying atmospheric component, which is coupled with the sea temperature change. El Niño is associated with higher than normal air sea level pressure over Indonesia, Australia and across the Indian Ocean to the Atlantic. La Niña has roughly the reverse pattern: high pressure over the central and eastern Pacific and lower pressure through much of the rest of the tropics and subtropics. The two phenomena last a year or so each and typically occur every two to seven years with varying intensity, with neutral periods of lower intensity interspersed. El Niño events can be more intense but La Niña events may repeat and last longer.

<span class="mw-page-title-main">Carl-Gustaf Rossby</span> Swedish-born American meteorologist

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The Arctic oscillation (AO) or Northern Annular Mode/Northern Hemisphere Annular Mode (NAM) is a weather phenomenon at the Arctic pole north of 20 degrees latitude. It is an important mode of climate variability for the Northern Hemisphere. The southern hemisphere analogue is called the Antarctic oscillation or Southern Annular Mode (SAM). The index varies over time with no particular periodicity, and is characterized by non-seasonal sea-level pressure anomalies of one sign in the Arctic, balanced by anomalies of opposite sign centered at about 37–45° N.

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<span class="mw-page-title-main">Thaw (weather)</span> Period when temperature rises after cold weather

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References

  1. Barry R.G. & Chorley R.J. (1987), Atmosphere, Weather & Climate, 5th ed, Routledge, ISBN   0-416-07142-2
  2. 1 2 Godfrey, C.M., Wilks, D.S., & Schultz, D.M. (2002). "Is the January Thaw a Statistical Phantom?". Bull. Amer. Meteor. Soc. 83 (1): 53–62. Bibcode:2002BAMS...83...53G. doi: 10.1175/1520-0477(2002)083<0053:itjtas>2.3.co;2 .{{cite journal}}: CS1 maint: multiple names: authors list (link)
  3. Lamb H.H (1950) Types and spells of weather around the year in the British Isles: Annual trends, seasonal structure of the year, singularities. Quart. J. Royal Met. Soc. 76/330, pp393-438.
  4. Flohn H. & Hess P. (1949): Großwetter-Singularitäten im jährlichen Witterungsverlauf Mitteleuropas (Statistisch-synoptische Untersuchungen 2). Meteorol. Rdsch., 2, pp258-263.
  5. Lamb H. H. (1972), Climate: Present, Past and Future, Routledge, ISBN   978-0-416-11530-7
  6. Roger G. Barry, Allen H. Perry (1973), Synoptic Climatology: Methods and Applications, London: Methuen
  7. Reynolds G. (1955), Short periods of unseasonal warmth or cold in daily mean maximum temperatures at Bidston, Quart. J. Royal Met. Soc. 81/350, pp613-617
  8. Bowen, E.G. (1953). "The influence of meteoric dust on rainfall". Australian Journal of Physics. 6 (4): 490–497. Bibcode:1953AuJPh...6..490B. doi: 10.1071/ph530490 .
  9. Bowen, E.G. (1956). "The relation between rainfall and meteor showers". Journal of Meteorology. 13 (2): 142–151. Bibcode:1956JAtS...13..142B. doi: 10.1175/1520-0469(1956)013<0142:trbram>2.0.co;2 .
  10. Bowen, E.G. (1956). "A relation between meteor showers and the rainfall of November and December". Tellus. 8 (3): 394–402. doi:10.1111/j.2153-3490.1956.tb01237.x.
  11. McNaughton, D.L. (1979). "Meteor Streams and Rainfall". 1980 Yearbook of Astronomy. Sidgwick and Jackson, London: 144–154. ISBN   0-283-98565-8.