Multistatic meteor radar observations of gravity wave-tidal
interaction over Southern Australia

Spargo, Andrew J.; MacKinnon, Andrew D.

doi:10.5194/amt-2019-138

Cited by 5 publications

(6 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For example, we found that the region of lowvariance vertical winds is smaller than the region of lowvariance horizontal winds. This result occurs even though the SIMONe2018 configuration has far superior properties in terms of links and diversity of Bragg angles compared to any other multistatic configuration used to date to study MLT winds (e.g., Chau et al, 2017;Stober et al, 2018;Spargo et al, 2019;Conte et al, 2021). Fortunately, the posterior predictive variances provided by the GPR method can be used in the future to optimize the meteor radar network geometry to achieve a given prediction goal, e.g., covering a specified region so that the estimate uncertainty for the winds reaches a particular value given typical meteor statistics.…”

Section: Discussionmentioning

confidence: 94%

Four-dimensional mesospheric and lower thermospheric wind fields using Gaussian process regression on multistatic specular meteor radar observations

et al. 2021

View full text Add to dashboard Cite

Abstract. Mesoscale dynamics in the mesosphere and lower thermosphere (MLT) region have been difficult to study from either ground- or satellite-based observations. For understanding of atmospheric coupling processes, important spatial scales at these altitudes range between tens and hundreds of kilometers in the horizontal plane. To date, this scale size is challenging observationally, so structures are usually parameterized in global circulation models. The advent of multistatic specular meteor radar networks allows exploration of MLT mesoscale dynamics on these scales using an increased number of detections and a diversity of viewing angles inherent to multistatic networks. In this work, we introduce a four-dimensional wind field inversion method that makes use of Gaussian process regression (GPR), which is a nonparametric and Bayesian approach. The method takes measured projected wind velocities and prior distributions of the wind velocity as a function of space and time, specified by the user or estimated from the data, and produces posterior distributions for the wind velocity. Computation of the predictive posterior distribution is performed on sampled points of interest and is not necessarily regularly sampled. The main benefits of the GPR method include this non-gridded sampling, the built-in statistical uncertainty estimates, and the ability to horizontally resolve winds on relatively small scales. The performance of the GPR implementation has been evaluated on Monte Carlo simulations with known distributions using the same spatial and temporal sampling as 1 d of real meteor measurements. Based on the simulation results we find that the GPR implementation is robust, providing wind fields that are statistically unbiased with statistical variances that depend on the geometry and are proportional to the prior velocity variances. A conservative and fast approach can be straightforwardly implemented by employing overestimated prior variances and distances, while a more robust but computationally intensive approach can be implemented by employing training and fitting of model hyperparameters. The latter GPR approach has been applied to a 24 h dataset and shown to compare well to previously used homogeneous and gradient methods. Small-scale features have reasonably low statistical uncertainties, implying geophysical wind field horizontal structures as low as 20–50 km. We suggest that this GPR approach forms a suitable method for MLT regional and weather studies.

show abstract

Section: Discussionmentioning

confidence: 94%

Four-dimensional mesospheric and lower thermospheric wind fields using Gaussian process regression on multistatic specular meteor radar observations

et al. 2021

View full text Add to dashboard Cite

show abstract

“…During most of the time since it started operations, SIMONe Argentina has been capable of detecting more than 30000 meteors per day (see Figure 2). With such amounts of meteor detections, one can not only reliably estimate horizontal winds with higher time and vertical resolutions (∼ 15 min and 1 km, respectively), but also investigate second order parameters such as the squares of the perturbation components of the radial velocities, i.e., the momentum flux components (e.g., Spargo et al, 2019). Another advantage multistatic SMR networks present is that they are capable of sampling the observed volume from different viewing angles.…”

Section: Discussionmentioning

confidence: 99%

“…In fact, Vincent et al (2010) showed that the accuracy in the momentum flux estimation is highly dependent on the number of meteor detections. Consequently, the usage of multistatic meteor radar systems represents one way to reduce the uncertainties of the momentum flux estimates (e.g., Spargo et al, 2019). Furthermore, by detecting more meteors and being -2-…”

Section: Introductionmentioning

confidence: 99%

First Studies of Mesosphere and Lower Thermosphere Dynamics Using a Multistatic Specular Meteor Radar Network Over Southern Patagonia

Conte

Chau

Urco

et al. 2021

Earth and Space Science

View full text Add to dashboard Cite

show abstract

“…The maximum duty cycle is 10%. The radar employs GPS locking, allowing its transmissions to be received using an interferometric Yagi antenna array at Mylor (55 km South East of Buckland Park) for bistatic meteor observations (Spargo et al, ). The radar does not allow continuous operation, typically dwelling on a particular beam direction for 1–2 min, with 5 s “dead” time to allow for data transfer to the data acquisition and analysis PC.…”

Section: The Buckland Park St Radarmentioning

confidence: 99%

Low Earth Orbit Object Observations Using the Buckland Park VHF Radar

2020

Self Cite

View full text Add to dashboard Cite

There is increasing interest in space situational awareness worldwide, motivating investigation of the use of nontraditional sensors for space surveillance. This paper presents preliminary results investigating the use of a VHF wind profiling radar for observing objects in low Earth orbit. This radar class is low cost relative to other radars typically applied to this task. The results reveal that 2,410 objects were detected over 15 days, with 1,392 unique objects detected. The daily detection count rates ranged from 150 to 200, and the maximum detection height observed was 2,491 km. The radar's utility for object catalog maintenance is demonstrated by its ability to determine propagation state vector errors, and through observations of the Chinese space station Tiangong‐1 in the last months of its return to Earth. The results suggest the measurements may be able to provide useful ionospheric parameters such as total electron content (TEC) measurements, provided high precision ephemeris data are available for the detected objects.

show abstract

Multistatic meteor radar observations of gravity wave-tidal interaction over Southern Australia

Cited by 5 publications

References 31 publications

Four-dimensional mesospheric and lower thermospheric wind fields using Gaussian process regression on multistatic specular meteor radar observations

Four-dimensional mesospheric and lower thermospheric wind fields using Gaussian process regression on multistatic specular meteor radar observations

First Studies of Mesosphere and Lower Thermosphere Dynamics Using a Multistatic Specular Meteor Radar Network Over Southern Patagonia

Low Earth Orbit Object Observations Using the Buckland Park VHF Radar

Contact Info

Product

Resources

About