1980
DOI: 10.1029/jc085ic04p01945
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The geographical distribution of the solar semidiurnal surface pressure oscillation

Abstract: New observations of the solar semidiurnal surface pressure oscillation (S•_(P)) at 35 stations throughout the world are presented. These observations are used to supplement those in the literature to produce a large compilation of S2(P) data (403 stations). The geographical distribution of S•_(P) is then examined by fitting a series of Hough functions to the station data.

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Cited by 19 publications
(16 citation statements)
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“…The most extensive observations of the solar tide have been made using long time series of barometric measurements. The diurnal surface pressure oscillation S•(p) and the semidiurnal surface pressure oscillation S2(p) have been determined at several hundred stations throughout the world [-Haurwitz, 1956[-Haurwitz, , 1965Haurwitz and Cowley, 1973;Hamilton, 1980]. Such observations at an individual station can be characterized by an amplitude and a local time phase.…”
Section: Observationsmentioning
confidence: 99%
“…The most extensive observations of the solar tide have been made using long time series of barometric measurements. The diurnal surface pressure oscillation S•(p) and the semidiurnal surface pressure oscillation S2(p) have been determined at several hundred stations throughout the world [-Haurwitz, 1956[-Haurwitz, , 1965Haurwitz and Cowley, 1973;Hamilton, 1980]. Such observations at an individual station can be characterized by an amplitude and a local time phase.…”
Section: Observationsmentioning
confidence: 99%
“…The periodic incoming solar heating in the atmosphere generates global tidal waves which can be revealed from variables such as pressure, wind, temperature, radiation fluxes, and even precipitation. The tidal waves evolve with periods of 24 and 12 h, commonly referred to as the diurnal and semi‐diurnal oscillations respectively (Wallace and Hartranft, 1969; Haurwitz and Cowley, 1973; Hamilton, 1980; Hsu and Hoskins, 1989; Deser and Smith, 1998; Dai and Wang, 1999). On a regional scale, the pressure variations are geographically dependent and subject to the modulation of mountain–valley and land–sea differential heating, as well as latent heating in moist convection (Hamilton, 1981; Krishnamurti and Kishtawal, 2000; Ciesielski and Johnson, 2008).…”
Section: Introductionmentioning
confidence: 99%
“…These are tide estimates based on analyses of long time series of barometric pressure measurements from 428 widely distributed meteorological stations. This set of station estimates is a merger of three previous compilations by Haurwitz (1956), Hamilton (1980), and Ray (1998). Considerable care was taken in deriving each of the tidal estimates, and they likely represent the best "ground truth" knowledge we have of the S 2 tide.…”
Section: Annual Mean S 2 Tidementioning
confidence: 99%