Low-Level Temperature Inversions of the Eurasian Arctic and Comparisons with Soviet Drifting Station Data

Serreze, Mark C.; Schnell, R. C.; Kahl, Jonathan D. W.

doi:10.1175/1520-0442(1992)005<0615:lltiot>2.0.co;2

Cited by 218 publications

(220 citation statements)

References 19 publications

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“…Howerever, the typical height of the cloud condensation level is hard to determine for Petuniabukta, since Bednorz and Kolendowicz (2010) observed summer Stratus clouds base within a height of 100-300 m, but Láska et al (2013) detected Stratus and Stratocumulus cloud-base height up to 700 m a.s.l. The air temperature inversion frequency in Petuniabukta had similar elementary characteristics as those analyzed by Serreze et al (1992), who used radiosonde data from Barentsburg: an increase in the occurrence of inversions from summer to winter and a simultaneous decrease of the ratio of elevated and all inversions. The relative frequency of all inversions was approximately 15-30% lower in Petuniabukta, which could have been expected considering that Serreze et al (1992) determined inversions up to the 700-hPa pressure level.…”

Section: Discussionmentioning

confidence: 62%

“…The air temperature inversion frequency in Petuniabukta had similar elementary characteristics as those analyzed by Serreze et al (1992), who used radiosonde data from Barentsburg: an increase in the occurrence of inversions from summer to winter and a simultaneous decrease of the ratio of elevated and all inversions. The relative frequency of all inversions was approximately 15-30% lower in Petuniabukta, which could have been expected considering that Serreze et al (1992) determined inversions up to the 700-hPa pressure level. The observed difference between the two studies is likely due to elevated air temperature inversions, as the greatest difference between the two studies occurred in summer.…”

Section: Discussionmentioning

confidence: 64%

“…In these studies, air temperature inversions were found to be a persistent feature, although there were many mechanisms causing their formation. In spite of regular atmospheric radiosounding performed at Ny-Ålesund since 1991 (Treffeisen et al 2007), there is only one comprehensive study on air temperature inversions in free atmosphere that includes Svalbard (Serreze et al 1992), which is based on data from Barentsburg for 1976Barentsburg for -1987.…”

Section: Introductionmentioning

confidence: 99%

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Air temperature variability in the vertical profile over the coastal area of Petuniabukta, central Spitsbergen

Ambrožová¹,

Láska²

2017

Polish Polar Research

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Abstract:A two-year-long data set of air temperature from four different altitudes above Petuniabukta, central Spitsbergen, was analysed in order to assess the near-surface temperature lapse rates and the relative frequency of air temperature inversion occurrence. From August 2013 to July 2015, air temperatures at adjacent altitudes in Petuniabukta were strongly correlated. The near-surface lapse rates in all three layers differed significantly both from the average lapse rate in the international standard atmosphere (0.65°C 100 m -1 ) and the lapse rate calculated by linear regression. A pronounced annual cycle was detected in the lowermost air layer (from 23 to 136 m a.s.l.) with a variable near-surface lapse rate in the winter months, while an annual cycle was not apparent in the air layers above 136 m a.s.l. The lowermost layer was also characterized by a notable daily cycle in near-surface lapse rate in spring and autumn. Air temperature inversions occurred in up to 80% of the study period in the air layer below 136 m a.s.l., with the relative frequency being much lower in the other two air layers. The air temperature inversions lasted as long as 139 hours. A case study revealed that one of the strongest air temperature inversions was connected to an area of lower pressure gradients at the 850-hPa pressure level.

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Section: Discussionmentioning

confidence: 62%

Section: Discussionmentioning

confidence: 64%

Section: Introductionmentioning

confidence: 99%

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Air temperature variability in the vertical profile over the coastal area of Petuniabukta, central Spitsbergen

Ambrožová¹,

Láska²

2017

Polish Polar Research

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“…We take z i as a constant, 600 m (Kahl, 1990;Serreze et al, 1992;Bradley et al, 1993;Tjernström and Graversen, 2009), because variability in it does not have much effect on our calculations. We adopt the suggestion by Jordan et al (1999) that a similar 'windless' coefficient is necessary for stable stratification but express it as…”

Section: Bulk Flux Algorithmmentioning

confidence: 99%

Parametrizing turbulent exchange over summer sea ice and the marginal ice zone

Andreas

Horst

Grachev

et al. 2010

Q.J.R. Meteorol. Soc.

151

187

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The surface of the Arctic Ocean in summer is a mix of sea ice and water in both leads and melt ponds. Here we use data collected at multiple sites during the year-long experiment to study the Surface Heat Budget of the Arctic Ocean (SHEBA) to develop a bulk turbulent flux algorithm for predicting the surface fluxes of momentum and sensible and latent heat over the Arctic Ocean during summer from readily measured or modelled quantities. The distinctive aerodynamic feature of summer sea ice is that the leads and melt ponds create vertical ice faces that the wind can push against; momentum transfer to the surface is thus enhanced through form drag. In effect, summer sea ice behaves aerodynamically like the marginal ice zone, which is another surface that consists of sea ice and water. In our bulk flux algorithm, we therefore combine our SHEBA measurements of the neutral-stability drag coefficient at a reference height of 10 m, C DN10 , with similar measurements from marginal ice zones that have been reported in the literature to create a unified parametrization for C DN10 for summer sea ice and for any marginal ice zone. This parametrization predicts C DN10 from a second-order polynomial in ice concentration. Our bulk flux algorithm also includes expressions for the roughness lengths for temperature and humidity, introduces new profile stratification corrections for stable stratification, and effectively eliminates the singularities that often occur in iterative flux algorithms for very light winds. In summary, this new algorithm seems capable of estimating the friction velocity u

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“…The long-lived inversions appear quite often in winter over most of the Russian territory (see e.g. Serreze et al 1992). The studies of wintertime jet flows are of importance also for Canada and Nordic countries where the snow cover is long-lasting (Henderson and Leathers 2010).…”

mentioning

confidence: 99%

Low-Level Jets in the Moscow Region in Summer and Winter Observed with a Sodar Network

Kallistratova

Kouznetsov

2011

Boundary-Layer Meteorol

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We evaluate the statistical properties of low-level jets (LLJs) observed by means of a network of Doppler sodars in the Moscow region, Russia. Continuous long-term measurements of the echo-signal intensity and wind-velocity profiles were carried out in July 2005 and in 2008-2010 synchronously in the centre of Moscow and at a rural site. The summertime nocturnal LLJs have a very clear diurnal cycle and exhibit features predicted by the Blackadar mechanism. In contrast, the long-lasting wintertime jets do not have any clear diurnal variability. The urban environment strongly influences LLJs in both seasons: above the city LLJs are higher, weaker and observed more rarely than at the rural site. In very cold periods (air temperature below −8 • C) no LLJs were observed over the city, instead convection emerged in the urban boundary layer. The results are based on observations made in

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Low-Level Temperature Inversions of the Eurasian Arctic and Comparisons with Soviet Drifting Station Data

Cited by 218 publications

References 19 publications

Air temperature variability in the vertical profile over the coastal area of Petuniabukta, central Spitsbergen

Air temperature variability in the vertical profile over the coastal area of Petuniabukta, central Spitsbergen

Parametrizing turbulent exchange over summer sea ice and the marginal ice zone

Low-Level Jets in the Moscow Region in Summer and Winter Observed with a Sodar Network

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