Characteristics of turbulence in the lower atmosphere at Halley IV station, Antarctica

Yagüe, Carlos; Maqueda, Gregorio; Rees, Julia M.

doi:10.1016/s0377-0265(01)00068-9

Cited by 36 publications

(40 citation statements)

References 24 publications

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“…This evolution produces a φ m /φ h <1, which would be equivalent to a greater turbulent transfer of momentum compared to the transfer of heat. This result, which is not shown when z/ is used as stability parameter, is compatible with the results shown for winter Antarctic data in Yagüe et al (2001), and has been related in previous works to the presence of internal gravity waves in the atmospheric boundary layer, and associated intermittent processes, using K m and K h (Kondo et al, 1978;Wittich and Roth, 1984;Yagüe and Cano, 1994b). These waves can transfer momentum but much less heat, unless they break.…”

Section: Relationship Between the Richardson Number And The Stabilitysupporting

confidence: 91%

“…1-2, followed by a levelling off is in agreement with other relationships found in the literature for other locations (Forrer and Rotach, 1997;Howell and Sun, 1999;Yagüe et al, 2001;Klipp and Mahrt, 2004;, and would support the z-less theory, initially proposed by Wyngaard (1973) and extended by Nieuwstadt (1984aNieuwstadt ( , 1984b.…”

Section: Flux-profile Relationship For Wind Speed (φ M )supporting

confidence: 91%

“…Handorf et al (1999) showed large values of φ h at z=4.2 m for ζ <0.01, compared to those predicted by the linear functions, but no explanation was given. Yagüe et al (2001) also found greater scatter for φ h than for φ m using Antarctic data, and large values of φ h for nearneutral conditions. It was clear that the increase in scatter for higher Richardson numbers was not due to undersampling.…”

Section: Flux-profile Relationship For Temperature (φ H )mentioning

confidence: 82%

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Influence of stability on the flux-profile relationships for wind speed, Φm, and temperature, Φh, for the stable atmospheric boundary layer

Yagüe

Viana

Maqueda

et al. 2006

Nonlin. Processes Geophys.

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Abstract. Data from SABLES98 experimental campaign have been used in order to study the influence of stability (from weak to strong stratification) on the flux-profile relationships for momentum, φ m , and heat, φ h . Measurements from 14 thermocouples and 3 sonic anemometers at three levels (5.8, 13.5 and 32 m) for the period from 10 to 28 September 1998 were analysed using the framework of the local-scaling approach (Nieuwstadt, 1984a;1984b), which can be interpreted as an extension of the Monin-Obukhov similarity theory (Obukhov, 1946). The results show increasing values of φ m and φ h with increasing stability parameter ζ =z/ , up to a value of ζ ≈1-2, above which the values remain constant. As a consequence of this levelling off in φ m and φ h for strong stability, the turbulent mixing is underestimated when linear similarity functions (Businger et al., 1971) are used to calculate surface fluxes of momentum and heat. On the other hand when φ m and φ h are related to the gradient Richardson number, R i , a different behaviour is found, which could indicate that the transfer of momentum is greater than that of heat for high R i . The range of validity of these linear functions is discussed in terms of the physical aspects of turbulent intermittent mixing.

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Section: Relationship Between the Richardson Number And The Stabilitysupporting

confidence: 91%

Section: Flux-profile Relationship For Wind Speed (φ M )supporting

confidence: 91%

Section: Flux-profile Relationship For Temperature (φ H )mentioning

confidence: 82%

See 1 more Smart Citation

Influence of stability on the flux-profile relationships for wind speed, Φm, and temperature, Φh, for the stable atmospheric boundary layer

Yagüe

Viana

Maqueda

et al. 2006

Nonlin. Processes Geophys.

Self Cite

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“…Typically, scatter in h is larger than in m for a large majority of field experiments (see e.g., Oncley et al 1996;Forrer and Rotach 1997;Duynkerke 1999;Howell and Sun 1999;Yagüe et al 2001;Cheng and Brutsaert 2005;Steeneveld et al 2006). Figure 1 illustrates this point for observations from the Cooperative Atmosphere-Surface Exchange Study 1999 .…”

Section: Introductionmentioning

confidence: 94%

Exploring Self-Correlation in Flux–Gradient Relationships for Stably Stratified Conditions

Baas

Steeneveld

Wiel

et al. 2006

Journal of the Atmospheric Sciences

107

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In this paper, the degree of scatter in flux-gradient relationships for stably stratified conditions is analyzed. It is generally found that scatter in the dimensionless lapse rate h is larger than in the dimensionless shear m when plotted versus the stability parameter z/⌳ (where ⌳ is the local Obukhov length). Here, this phenomenon is explained to be a result of self-correlation due to the occurrence of the momentum and the heat flux on both axes, measurement uncertainties, and other possibly relevant physical processes left aside. It is shown that the ratio between relative errors in the turbulent fluxes influences the orientation of self-correlation in the flux-gradient relationships. In stable conditions, the scatter in m is largely suppressed by self-correlation while for h this is not the case (vice versa for unstable stratification). An alternative way of plotting is discussed for determining the slope of the linear m function.

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“…Prior to IPY, only a handful of studies addressed these difficulties which calls into question how representative each study was of general conditions in polar regions (cf. Yagüe et al 2001;Grachev et al 2005Grachev et al , 2007Sodemann and Foken 2005;Lüers and Bareiss 2010).…”

Section: Surface-atmosphere Exchangementioning

confidence: 99%

Selected topics in arctic atmosphere and climate

et al. 2012

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This paper summarizes the main elements of four IPYprojects that examine the Arctic Atmosphere. All four projects focus on present conditions with a view to anticipating possible climate change. All four investigate the Arctic atmosphere, ocean, ice, and land interfacial surfaces. One project uses computer models to simulate the dynamics of the Arctic atmosphere, storms, and their interactions with the ocean and ice interface. Another project uses statistical methods to infer transports of pollutants as simulated in large-scale global atmospheric and oceanic models verifying results with available observations. A third project focuses on measurements of pollutants at the ice-ocean-atmosphere interface, with reference to model estimates. The fourth project is concerned with multiple, high accuracy measurements at Eureka in the Canadian Archipelago. While these projects are distinctly different, led by different teams and interdisciplinary collaborators, with different technical approaches and methodologies, and differing objectives, they all strive to understand the processes of the Arctic atmosphere and climate, and to lay the basis for projections of future changes. Key findings include:• Decreased sea ice leads to more intense storms, higher winds, reduced surface albedo, increased surface air temperature, and enhanced vertical mixing in the upper ocean. • Arctic warming may affect toxic chemicals by remobilizing persistent organic pollutants and augmenting mercury deposition/retention in the environment.• Changes in sea ice can dramatically change processes in and at the ice surface related to ozone, mercury and bromine oxide and related chemical/physical properties.• Structure and properties of the Arctic atmospheric-troposphere to stratosphere-and tracking of transport of pollution and smoke plumes from mid-latitudes to the poles.

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Characteristics of turbulence in the lower atmosphere at Halley IV station, Antarctica

Cited by 36 publications

References 24 publications

Influence of stability on the flux-profile relationships for wind speed, <i>Φ</i><sub>m</sub>, and temperature, <i>Φ</i><sub>h</sub>, for the stable atmospheric boundary layer

Influence of stability on the flux-profile relationships for wind speed, <i>Φ</i><sub>m</sub>, and temperature, <i>Φ</i><sub>h</sub>, for the stable atmospheric boundary layer

Exploring Self-Correlation in Flux–Gradient Relationships for Stably Stratified Conditions

Selected topics in arctic atmosphere and climate

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Characteristics of turbulence in the lower atmosphere at Halley IV station, Antarctica

Cited by 36 publications

References 24 publications

Influence of stability on the flux-profile relationships for wind speed, &lt;i&gt;Φ&lt;/i&gt;&lt;sub&gt;m&lt;/sub&gt;, and temperature, &lt;i&gt;Φ&lt;/i&gt;&lt;sub&gt;h&lt;/sub&gt;, for the stable atmospheric boundary layer

Influence of stability on the flux-profile relationships for wind speed, &lt;i&gt;Φ&lt;/i&gt;&lt;sub&gt;m&lt;/sub&gt;, and temperature, &lt;i&gt;Φ&lt;/i&gt;&lt;sub&gt;h&lt;/sub&gt;, for the stable atmospheric boundary layer

Exploring Self-Correlation in Flux–Gradient Relationships for Stably Stratified Conditions

Selected topics in arctic atmosphere and climate

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Product

Resources

About

Influence of stability on the flux-profile relationships for wind speed, <i>Φ</i><sub>m</sub>, and temperature, <i>Φ</i><sub>h</sub>, for the stable atmospheric boundary layer

Influence of stability on the flux-profile relationships for wind speed, <i>Φ</i><sub>m</sub>, and temperature, <i>Φ</i><sub>h</sub>, for the stable atmospheric boundary layer