First results of the refurbished SOUSY radar: Tropopause altitude climatology at 78°N, 16°E, 2008

Hall, C. M.; Röttger, J.; Kuyeng, K.; Sigernes, F.; Claes, S.; Chau, Jorge L.

doi:10.1029/2009rs004144

Cited by 13 publications

(23 citation statements)

References 13 publications

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“…The rationale for including data from so many sources was to consciously employ quite independent measurements. As can be seen, the temperature variation leads that of the tropopause height by one month; inclusion of newer data from SOUSY does not alter the conclusion of Hall et al (2009). If we now employ daily values rather than monthly averages, and now using only temperatures from Breinosa, the same result emerges, as shown in the lower panel of Fig.…”

Section: Resultssupporting

confidence: 63%

“…4. This figure is an updated version of the one shown earlier by Hall et al (2009) but incorporating the newer radar data, and includes results of comparing (a) the previous SOUSY radar (e.g. Röttger and Hall, 2007) with temperatures distributed by the Norwegian Meteorological Institute, met.no, from Longyearbyen airport 12 km NW of the radar, (b) the current SOUSY radar with temperatures measured in Adventdalen (5 km NW of the radar) and (c) radiosonde measurements with Adventdalen temperatures.…”

Section: Resultsmentioning

confidence: 99%

“…Having reiterated the agreement in seasonal variation between radiosonde and radar determinations that was established earlier by Hall et al (2009), and also quantified the relationship between altitudes discussed by Röttger and Hall (2007), we turn our attention to comparison with surface air temperature. Monthly averages are compared using cross correlations as shown in the upper panel of Fig.…”

Section: Resultsmentioning

confidence: 99%

“…Gage and Green, 1979) and its relation to the meteorological tropopause (e.g. WMO, 1996), typified by a systematic height difference, are discussed by Röttger and Hall (2007) and Hall et al (2009), and we shall investigate this further in this study. The radar tropopause is approximately 2 km above the meteorologically defined tropopause (as we shall see in Fig.…”

Section: Introduction and Data Sourcesmentioning

confidence: 99%

“…At 78 • N 16 • E (Adventdalen, Svalbard) the SOUSY VHF radar continually monitors the tropopause location, the radar system itself and subsequent analysis technique for identifying the radar tropopause being fully described by Hall et al (2009). The radar tropopause (e.g.…”

Section: Introduction and Data Sourcesmentioning

confidence: 99%

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Tropopause height at 78° N 16° E: average seasonal variation 2007–2010

Hall¹,

Hansen

Sigernes³

et al. 2011

Atmos. Chem. Phys.

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Abstract. We present a seasonal climatology of tropopause altitude for 78 • N 16 • E derived from observations 2007-2010 by the SOUSY VHF radar on Svalbard. The spring minimum occurs one month later than that of surface air temperature and instead coincides with the maximum in ozone column density. This confirms similar studies based on radiosonde measurements in the arctic and demonstrates downward control by the stratosphere. If one is to exploit the potential of tropopause height as a metric for climate change at high latitude and elsewhere, it is imperative to observe and understand the processes which establish the tropopause -an understanding to which this study contributes.

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Section: Resultssupporting

confidence: 63%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Introduction and Data Sourcesmentioning

confidence: 99%

Section: Introduction and Data Sourcesmentioning

confidence: 99%

See 3 more Smart Citations

Tropopause height at 78° N 16° E: average seasonal variation 2007–2010

Hall¹,

Hansen

Sigernes³

et al. 2011

Atmos. Chem. Phys.

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Complexity signatures for short time scales in the atmosphere above Adventdalen, Svalbard

Hall

2014

JGR Atmospheres

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Atmospheric parameters from the troposphere above Adventdalen, Svalbard, 78°N, 16°E, are examined for signatures of complexity in their respective stochastic components over time scales from~1 h to 1 year. Several approaches are used, all of which can estimate values of the generalized Hurst exponent, α, which can in turn be compared with each other and with similar independent characterizations, usually via the classic Hurst exponent, H, obtained from location-specific and globally averaged time series. For tropopause altitude, the stochastic component exhibits the signature of a persistent fractional Gaussian noise (fGn) with α ≈ 0.75. For surface air temperature, the indications are for fractional Brownian motion (fBm) with α ≈ 1.4. Using recent high time-resolution data from a single high-latitude location, this identification of fBm is relevant for short-term memory as opposed to findings from many other studies addressing possible long-term memory, which demonstrate fGn with α = H ≈ 0.7. Furthermore, the lack of similarity between the results for surface air temperature and tropopause altitude suggests that different underlying processes are responsible for stochastic variability.

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The radar tropopause above Svalbard 2008–2012: Characteristics at various timescales

Hall

2013

JGR Atmospheres

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[1] Determinations of the tropopause altitude over Adventdalen, Svalbard (78 N, 16 E) have been assembled for the period 2008-2012. These reveal characteristics at various timescales: interannual, seasonal, and stochastic. First, it is established that the inclusion of considerably more data does not alter earlier findings of good temporal agreement with radiosonde measurements, that the radar tropopause is located at a fairly constant altitude above the meteorological tropopause, and that the seasonal variation lags the surface temperature variation by approximately 1 month, indicating a degree of top-down control from the stratosphere. Over the longest timescale available, i.e., 5 years, we find an increase in tropopause altitude and identify this with increasing solar flux during the growth phase of solar cycle 24, and contrary to the seasonal variation, there is evidence that this is controlled by troposphere warming. At stochastic timescales, the scaling characteristics of the signal are examined, and in an exploratory investigation, the Hurst exponent is found to be~0.82, which is in excellent agreement with independent findings for high latitude surface temperature data and therefore supportive of a complexity matching approach to identification of causal relationships between atmospheric metrics.

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First results of the refurbished SOUSY radar: Tropopause altitude climatology at 78°N, 16°E, 2008

Cited by 13 publications

References 13 publications

Tropopause height at 78° N 16° E: average seasonal variation 2007–2010

Tropopause height at 78° N 16° E: average seasonal variation 2007–2010

Complexity signatures for short time scales in the atmosphere above Adventdalen, Svalbard

The radar tropopause above Svalbard 2008–2012: Characteristics at various timescales

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