Abstract:[1] Thermospheric neutral winds can be the most important driver when modeling ionospheric densities and temperatures. Several papers in this special edition show interesting features of the neutral winds behavior during the last 30 years at the Arecibo Observatory (18.3°N, 66.75°W; ∼28.25°dip latitude) using Fabry-Perot Interferometer (FPI) data. A neutral wind vector that changes its direction, becoming more dominantly eastward over the years and a meridional neutral wind component that decreases in magnitud… Show more
“…at which the O + ions diffuse downward (Santos et al, 2011). Therefore, the lowering of hmF2 caused by the meridional wind found over Arecibo by Brum et al (2012) and Santos et al (2011), respectively, agree with the theory, and a decrease in electron density would be expected.…”
The increasing concentration of anthropogenic greenhouse gases (GHGs) leads to global warming in the lower atmosphere but can cool the upper atmosphere (
“…at which the O + ions diffuse downward (Santos et al, 2011). Therefore, the lowering of hmF2 caused by the meridional wind found over Arecibo by Brum et al (2012) and Santos et al (2011), respectively, agree with the theory, and a decrease in electron density would be expected.…”
The increasing concentration of anthropogenic greenhouse gases (GHGs) leads to global warming in the lower atmosphere but can cool the upper atmosphere (
“…However, the lack of neutral wind measurements hinders our dynamic studies in the upper atmosphere. Ground-based instruments such as incoherent scatter radar, meteor radar (MR), medium-frequency radar, lidar, Michelson interferometer, and Fabry-Perot interferometer (FPI) are all capable of detecting the wind and dynamics in the upper atmosphere [Santos et al, 2011;David et al, 2013;Hocking, 1997;Phillips et al, 1994;Yuan et al, 2006;She et al, 2002;Langille et al, 2013;Wu et al, 2004]. Among them, the MR and FPI are two types of instruments to effectively detect waves and winds in the upper atmosphere at relatively low costs.…”
Wind data observed by a Fabry‐Perot interferometer (FPI) and a meteor radar (MR) deployed in two stations, which are 430 km apart in ground distance, are used to study wind climatology in mesosphere/lower thermosphere over central China and compare between the measurements. A general morphologic similarity of the FPI winds and MR winds is identified with 4 year data since November 2011. At 87 km, the wind vector plots show that the FPI and MR winds agree with each other very well in all months. The zonal winds of both instruments have an apparent semiannual variation with a maximal strength of −20 m/s at around 18:00 UT in equinoctial months, and the meridional winds from both instruments have an apparent annual variation with a maximal strength of −40 m/s at around 15:00 UT in summer months. The correlation coefficients between the measurements of the two instruments are about 0.95 for meridional wind and 0.90 for zonal wind. At 97 km, the wind vector plots show that FPI and MR winds agree with each other from May to October and are obviously different in the rest months. There are very weak semiannual variations at around 18:00 UT for both zonal winds and pronounced annual variation at around 13:00 UT for both meridional winds. The correlation coefficients between the FPI and MR winds are 0.73 for zonal wind and 0.86 for meridional wind, which are overall smaller than that at 87 km. A Gaussian distribution of airglow profile is used to investigate the deviations associated with peak height and full width at half maximum (FWHM) of airglow layer. It is found that the variation of peak height could lead to about 20% variation of correlation coefficients between measurements at the height of 87 km and about 14.8% at the height of 97 km on average. The variation of FWHM could lead to a correlation coefficient variation of about 2.4% and 3.5% at the height of 87 km and 97 km, respectively. Some other reasons, such as the influence of geomagnetic field on meteor trail and the propagation of gravity waves, could also contribute to these differences between measurements.
“…These include studies that focus on the mesosphere, where the procedure is especially straightforward [Mathews et al, 1981;Rottger et al, 1981;Fukao et al, 1982Fukao et al, , 1985Rottger et al, 1983;Tsuda et al, 1985;Maekawa et al, 1986;Zhou and Morton, 2006]. The techniques and related databases have become sufficiently reliable to support studies of long-term trends over Arecibo [Maekawa et al, 1987;Tepley et al, 2011;Santos et al, 2011;Brum et al, 2012].…”
Citation:Hysell, D. L., M. F. Larsen, and M. P. Sulzer (2014), High time and height resolution neutral wind profile measurements across the mesosphere/lower thermosphere region using the Arecibo incoherent scatter radar, J. Geophys. Res. Space Physics, 119, 2345-2358, doi:10.1002 Abstract A method for estimating the vector neutral wind profiles in the mesosphere and lower thermosphere (MALT) region of the upper atmosphere from Arecibo dual-beam incoherent scatter radar data is presented. The method yields continuous estimates of both the altitude-averaged F region plasma drifts and all three components of the altitude-resolved neutral wind profiles in the MALT using data taken while the Arecibo feed system swings in azimuth. The problem is mixed determined, and its solution is not inherently unique. Second-order Tikhonov regularization is used to find solutions consistent with the available data while being minimally structured, additional structure being unsupported by the data. The solution is found using the method of conjugate gradient least squares and sparse matrix mathematics. Example data acquired during an interval of midlatitude spread F are used to illustrate the method. The estimated wind profiles exhibit characteristics broadly consistent with gravity waves but are impulsive, with features that generally persist for less than one and a half wave periods.
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