2005
DOI: 10.1002/joc.1152
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Sensible heat exchange at the Antarctic snow surface: a study with automatic weather stations

Abstract: Data of four automatic weather stations (AWSs) are used to calculate the turbulent exchange of sensible heat at the Antarctic snow surface for a 4 year period (1998)(1999)(2000)(2001). The AWSs are situated on the ice shelf, in the coastal/inland katabatic wind zone and on the interior plateau in Dronning Maud Land, East Antarctica. Sensible heat flux (SHF) is calculated using the aerodynamic 'bulk' method between a single AWS sensor level and the surface, in combination with surface temperature derived from u… Show more

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Cited by 53 publications
(66 citation statements)
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“…This procedure left 417 hourly values of SHF and 223 of LHF. With regression coefficients of 0.68 and 0.74, agreement is reasonable, but with regression slopes less than unity and a significant bias, agreement is less good than for a similar comparison of Antarctic data (Van den Broeke et al, 2005). This can likely be attributed to the much greater seasonal variability in the nature of the GrIS surface, which introduces, e.g., an unknown displacement distance.…”
Section: Validation Of Calculated Turbulent Fluxesmentioning
confidence: 67%
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“…This procedure left 417 hourly values of SHF and 223 of LHF. With regression coefficients of 0.68 and 0.74, agreement is reasonable, but with regression slopes less than unity and a significant bias, agreement is less good than for a similar comparison of Antarctic data (Van den Broeke et al, 2005). This can likely be attributed to the much greater seasonal variability in the nature of the GrIS surface, which introduces, e.g., an unknown displacement distance.…”
Section: Validation Of Calculated Turbulent Fluxesmentioning
confidence: 67%
“…At S5, in contrast, the largest absolute surface-to-air temperature gradients are found in summer, with daily mean values in excess of 4°C m −1 (Figure 6(a)). But strong inversions alone are not sufficient to generate large values of θ * : in order for the stability correction to remain small ( h in Equation (2)), L MO and thus wind shear u * must be sufficiently large; katabatic forcing ensures that this is the case (see Section 4.3 and Van den Broeke et al, 2005). The large temperature gradient in combination with strong mixing sustains large positive values of θ * at S5 during summer with typical values of 0.15-0.25 K (Figure 7(a)).…”
Section: Resultsmentioning
confidence: 99%
“…We noted no substantial changes, i.e., no difference > 1 %, in the 30 min turbulent fluxes during these tests, however. The latent-heat flux data were corrected for oxygen absorption by the KH2O (Tanner et al, 1993) and for fluctuations in the water vapor density induced by high-frequency changes in air temperature (Webb-Pearman-Leuning correction;Webb et al, 1980). Finally, we applied a series of standardized processing steps consisting of corrections for potentially high-and low-frequency loss, and sensor separation (Ibrom et al, 2007;Moncrieff et al, 2004;Horst and Lenschow, 2009).…”
Section: Eddy-covariance Data Processingmentioning
confidence: 99%
“…Direct measurements of turbulent fluxes, by an eddy-covariance method, are relatively rare because they require sophisticated instrumentation requiring continuous maintenance, making them unsuitable for long-term operational purposes. Few studies exist that have directly measured turbulent fluxes over mountain glaciers, and all of these studies are restricted to shorter time intervals, e.g., weeks to a couple of months (e.g., Munro, 1989;Forrer and Rotach, 1997;van der Avoird and Duynkerke, 1999;Cullen et al, 2007;Guo et al, 2011;Conway and Cullen, 2013). A more common approach in the studies of SEB on glaciers is to derive the turbulent fluxes through parameterization schemes that utilize the observations of mean meteorological variables such as near-surface air temperature, wind, and relative humidity (e.g., Hock and Holmgren, 2005;Sicart et al, 2005;Mölg et al, 2008;Reijmer and Hock, 2008;Mölg et al, 2009;MacDougall and Flowers, 2011;Sicart et al, 2011;Huintjes et al, 2015;Prinz et al, 2016).…”
Section: Introductionmentioning
confidence: 99%
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