Continental-Scale Simulation of the Antarctic Katabatic Wind Regime

Parish, Thomas R.; Bromwich, David H.

doi:10.1175/1520-0442(1991)004<0135:cssota>2.0.co;2

Cited by 165 publications

(115 citation statements)

References 7 publications

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“…The wind speed is greater in READER than in Parish and Bromwich (1991), e.g. at Dome C the difference is 33%.…”

Section: Evaluation Of the Model Windsmentioning

confidence: 91%

“…The most remarkable difference between RACMO and Parish and Bromwich (1991) is that the RACMO wind speed is 23% lower than the Parish and Bromwich (1991) wind speed. At most stations the agreement with the measurement is much better for RACMO than for Parish and Bromwich (1991), especially at Vostok, Pionerskaya, South Pole, and Mirny. Only at Cape Denison does the Parish and Bromwich (1991) wind speed correspond better to the measurements than the RACMO wind speed.…”

Section: Evaluation Of the Model Windsmentioning

confidence: 94%

“…The wind direction at the stations is very well represented by both the Parish and Bromwich (1991) model and RACMO, with differences smaller than 10°, except for Mirny, where the zonal component is overestimated in RACMO. The most remarkable difference between RACMO and Parish and Bromwich (1991) is that the RACMO wind speed is 23% lower than the Parish and Bromwich (1991) wind speed.…”

Section: Evaluation Of the Model Windsmentioning

confidence: 94%

“…The maximum mean winter wind speed of 16.3 m s −1 is found at 145.9°E, 68.9°S on the western side of the trough in the surface near Cape Denison. Parish and Bromwich (1991: Parish and Bromwich (1991) integration, we show the measurements given by Parish and Bromwich (1991), the READER data, the Parish and Bromwich (1991) model output and the RACMO output for selected stations in Table I. For RACMO we present the wind speed at the height of the station, namely at 3 m height for the automatic weather stations (AWSs) Byrd, Dome C and Cape Denison and at 10 m height for the manned stations Vostok, Pionerskaya, South Pole and Mirny.…”

Section: The Climatology Of Near-surface Windsmentioning

confidence: 99%

“…The elegant one-layer model of Ball (1960) has been used in a number of studies, and in particular has been applied by Parish and Bromwich (1987) to generate an improved stream-line map for the Antarctic. Later, Parish and Bromwich (1991) used an early primitive equation three-dimensional model to study Antarctic surface winds. In these studies the large-scale pressure-gradient forcing (LSC) is not taken into account.…”

Section: Introductionmentioning

confidence: 99%

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The near‐surface wind field over the Antarctic continent

Lipzig¹,

Turner²,

Colwell³

et al. 2004

Intl Journal of Climatology

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A 14 year integration with a regional atmospheric model has been used to determine the near-surface climatological wind field over the Antarctic ice sheet at a horizontal grid spacing of 55 km. Previous maps of the near-surface wind field were generally based on models ignoring the large-scale pressure-gradient forcing term in the momentum equation. Presently, state-of-the-art atmospheric models include all pressure-gradient forcing terms. Evaluation of our model output against in situ data shows that the model is able to represent realistically the observed increase in wind speed going from the interior to the coast, as well as the observed wind direction at South Pole and Dumont d'Urville and the bimodal wind distribution at Halley.

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“…The wind speed is greater in READER than in Parish and Bromwich (1991), e.g. at Dome C the difference is 33%.…”

Section: Evaluation Of the Model Windsmentioning

confidence: 91%

Section: Evaluation Of the Model Windsmentioning

confidence: 94%

Section: Evaluation Of the Model Windsmentioning

confidence: 94%

Section: The Climatology Of Near-surface Windsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

The near‐surface wind field over the Antarctic continent

Lipzig¹,

Turner²,

Colwell³

et al. 2004

Intl Journal of Climatology

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The future of Antarctica's surface winds simulated by a high-resolution global climate model: 1. Model description and validation

Severijns

Haarsma

Hazeleger

2014

J. Geophys. Res. Atmos.

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One of the key components of Antarctica's harsh climate is its renowned katabatic winds, which are among the fiercest surface winds on Earth. Caused primarily by strong surface cooling over the sloping ice surface, these semipermanent winds result primarily from the strong surface temperature inversion and associated temperature deficit between the surface layer and the free atmosphere aloft. Katabatic winds exert a strong effect on the mass budget of the Antarctic ice sheet by affecting snowdrift (sublimation) and by (partially) regulating the net atmospheric moisture transports toward the Antarctic. It has been suggested that greenhouse warming may lead to reduced surface cooling and weakened katabatic winds. This is tested by using a global climate model (EC-Earth) in prescribed sea surface temperature simulations of the present-day (2002)(2003)(2004)(2005)(2006) and future (2094)(2095)(2096)(2097)(2098) climates. Because simulated topographically induced katabatic winds are likely to depend on the model grid, we employ two model resolutions: (1) T159L62 (~100 km, 62 vertical levels) and (2) T799L91 (~20 km, 91 vertical levels). It is shown here that present-day surface winds over Antarctica in high resolution are generally stronger than in low resolution, especially in the escarpment region with its steep orography. Simulated surface winds are generally underestimated with respect to observations, in particular the strongest winds (occurring over steep slopes), and especially in low resolution. The seasonal cycle in surface winds is simulated fairly accurately. Surface temperatures are also relatively well simulated (when corrected for elevation differences), especially in high resolution.

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Observations, theory, and modeling of the differential accumulation of Antarctic megadunes

Dadić

Mott²,

Horgan

et al. 2013

J. Geophys. Res. Earth Surf.

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[1] Antarctic megadunes are characterized by significant spatial differences in accumulation rate, with higher accumulation on the windward side and near-zero accumulation on the lee side. This leads to spatial differences in physical properties of snow and surface roughness, as well as to the upwind migration of the megadunes. While previous studies agree that megadunes are a result of complex interactions between wind, topography, and snow, it is not clear how they form or why they accumulate on the windward side. Here we use ICESat observations, dimensional analysis, and atmospheric flow modeling to investigate what conditions are responsible for the accumulation patterns and upwind migration of the megadunes. First, we use ICESat data to quantify the pattern of differential surface elevation change across the megadunes. We then use dimensional analysis based on supercritical-flow theory and atmospheric flow modeling to show that the megadunes topography and a stable atmosphere will always lead to upwind dune migration. We show that a combination of persistent katabatic winds, strong stability, and spatial variability in surface roughness is responsible for the accumulation on the upwind slope and hence the upwind migration of the megadunes. We further show that spatial differences in surface roughness are the primary control on accumulation magnitudes and hence dune migration velocity. The dune migration velocity in turn influences the degree of snow-metamorphism and the physical properties of snow that are relevant for paleoclimate records. Our findings pertain to the ongoing evolution of the megadunes, but their genesis remains an open question.

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Continental-Scale Simulation of the Antarctic Katabatic Wind Regime

Cited by 165 publications

References 7 publications

The near‐surface wind field over the Antarctic continent

The near‐surface wind field over the Antarctic continent

The future of Antarctica's surface winds simulated by a high-resolution global climate model: 1. Model description and validation

Observations, theory, and modeling of the differential accumulation of Antarctic megadunes

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