Characteristics of Arctic tides at CANDAC-PEARL (80° N, 86° W) and Svalbard (78° N, 16° E) for 2006–2009: radar observations and comparisons with the model CMAM-DAS

Manson, A. H.; Meek, C. E.; Xinwen, Xu; Asô, T.; Drummond, J. R.; Hall, Chris M.; Hocking, W. K.; Tsutsumi, Masaki; Ward, W. E.

doi:10.5194/angeo-29-1939-2011

Cited by 3 publications

(2 citation statements)

References 27 publications

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“…Figure demonstrates that during days 280–310, the SW1 component is actually the strongest contribution to the observed 12‐hr variability at these latitudes, and during springtime (between approximately days 80 and 140) the three zonal components are of a similar amplitude. By comparing radar data from Svalbard (78°N, 18°E) and the CANDAC‐PEARL station (80°N, 86°W), Manson et al () observed a weak, but significant, SW1 SDT which was strongest around March–June, together with a mix of SW1 and SW3 SDTs in late autumn/winter in addition to the dominant migrating (SW2) SDT. This is in good agreement with the results presented here from slightly lower latitudes and also with the TIDI satellite results of Iimura et al () from around 60°N discussed earlier.…”

Section: Climatology Of the Superdarn Sdtsmentioning

confidence: 99%

SuperDARN Observations of Semidiurnal Tidal Variability in the MLT and the Response to Sudden Stratospheric Warming Events

et al. 2019

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Using meteor wind data from the Super Dual Auroral Radar Network (SuperDARN) in the Northern Hemisphere, we (1) demonstrate that the migrating (Sun‐synchronous) tides can be separated from the nonmigrating components in the mesosphere and lower thermosphere (MLT) region and (2) use this to determine the response of the different components of the semidiurnal tide (SDT) to sudden stratospheric warming (SSW) conditions. The radars span a limited range of latitudes around 60°N and are located over nearly 180° of longitude. The migrating tide is extracted from the nonmigrating components observed in the meridional wind recorded from meteor ablation drift velocities around 95‐km altitude, and a 20‐year climatology of the different components is presented. The well‐documented late summer and wintertime maxima in the semidiurnal winds are shown to be due primarily to the migrating SDT, whereas during late autumn and spring the nonmigrating components are at least as strong as the migrating SDT. The robust behavior of the SDT components during SSWs is then examined by compositing 13 SSW events associated with an elevated stratopause recorded between 1995 and 2013. The migrating SDT is seen to reduce in amplitude immediately after SSW onset and then return anomalously strongly around 10–17 days after the SSW onset. We conclude that changes in the underlying wind direction play a role in modulating the tidal amplitude during the evolution of SSWs and that the enhancement in the midlatitude migrating SDT (previously reported in modeling studies) is observed in the MLT at least up to 60°N.

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Section: Climatology Of the Superdarn Sdtsmentioning

confidence: 99%

SuperDARN Observations of Semidiurnal Tidal Variability in the MLT and the Response to Sudden Stratospheric Warming Events

et al. 2019

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“…Given the pitfalls in temperature estimation above [ Dyrud et al , 2001] and below [ Ballinger et al , 2008] 90 km, we feel that our “safe” approach of “sticking to” 90 km is justified. It is unfortunate we find this necessary, because 90 km is the assumed altitude of the summer mesopause at 78°N [ Höffner and Lübken , 2007] (although see the modeling results reported by Manson et al [2011a, 2011b]) and by examining altitudes between 80 and 100 km with NSMR one could search for trends both above and below the summer mesopause, and for that matter in a 20 km deep regime of the winter mesosphere.…”

Section: Physical Processesmentioning

confidence: 99%

Temperature trends at 90 km over Svalbard, Norway (78°N 16°E), seen in one decade of meteor radar observations

Hall¹,

Dyrland²,

Tsutsumi³

et al. 2012

J. Geophys. Res.

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[1] Temperatures at 90 km altitude above Svalbard (78 N, 16 E) have been determined using a meteor wind radar and subsequently calibrated by satellite measurements for the period autumn 2001 to present. The dependence of the temperatures on solar driving has been investigated using the Ottawa 10.7 cm flux as a proxy. Removing the response of the temperatures to the seasonal and solar cycle variations yields a residual time series which exhibits the negative trend of À4 AE 2 K decade À1 . We indicate that, given the month-to-month variability and memory in the time series, for a 90% confidence in this trend, we require only 55 months of data -considerably less than the amount available. Cooling of the middle atmosphere, which would be strongly supported by these results, would result in contraction and subsequent lowering of pressure surfaces; we explain that including a negative trend in the pressure model used to obtain temperatures from meteor train echo fading times would also merely serve to augment the observed 90 km cooling.Citation: Hall, C. M., M. E. Dyrland, M. Tsutsumi, and F. J. Mulligan (2012), Temperature trends at 90 km over Svalbard, Norway (78 N 16 E), seen in one decade of meteor radar observations,

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Climatology of the main (24-h and 12-h) tides observed by meteor radars at Svalbard and Tromsø: Comparison with the models CMAM-DAS and WACCM-X

Pancheva

Mukhtarov

Hall

et al. 2020

Journal of Atmospheric and Solar-Terrestrial Physics

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Characteristics of Arctic tides at CANDAC-PEARL (80° N, 86° W) and Svalbard (78° N, 16° E) for 2006–2009: radar observations and comparisons with the model CMAM-DAS

Cited by 3 publications

References 27 publications

SuperDARN Observations of Semidiurnal Tidal Variability in the MLT and the Response to Sudden Stratospheric Warming Events

SuperDARN Observations of Semidiurnal Tidal Variability in the MLT and the Response to Sudden Stratospheric Warming Events

Temperature trends at 90 km over Svalbard, Norway (78°N 16°E), seen in one decade of meteor radar observations

Climatology of the main (24-h and 12-h) tides observed by meteor radars at Svalbard and Tromsø: Comparison with the models CMAM-DAS and WACCM-X

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