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Part 1: Document Description
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Citation |
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Title: |
Replication Data for: Observing mesospheric turbulence with specular meteor radars: A novel method for estimating second order statistics of wind velocity |
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Identification Number: |
doi:10.18710/PBYWJ0 |
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Distributor: |
DataverseNO |
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Date of Distribution: |
2019-06-04 |
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Version: |
1 |
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Bibliographic Citation: |
Vierinen, Juha, 2019, "Replication Data for: Observing mesospheric turbulence with specular meteor radars: A novel method for estimating second order statistics of wind velocity", https://doi.org/10.18710/PBYWJ0, DataverseNO, V1 |
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Citation |
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Title: |
Replication Data for: Observing mesospheric turbulence with specular meteor radars: A novel method for estimating second order statistics of wind velocity |
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Identification Number: |
doi:10.18710/PBYWJ0 |
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Authoring Entity: |
Vierinen, Juha (UiT The Arctic University of Norway) |
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Producer: |
UiT The Arctic University of Norway |
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Distributor: |
DataverseNO |
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Distributor: |
UiT The Arctic University of Norway |
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Access Authority: |
Vierinen, Juha |
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Depositor: |
Vierinen, Juha |
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Date of Deposit: |
2019-05-29 |
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Holdings Information: |
https://doi.org/10.18710/PBYWJ0 |
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Study Scope |
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Keywords: |
Earth and Environmental Sciences, meteor, mesosphere, wind, radar, MIMO, turbulence, wind field |
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Abstract: |
There are few observational techniques for measuring the distribution of kinetic energy within the mesosphere with a wide range of spatial and temporal scales. This study describes a method for estimating the three-dimensional mesospheric wind field correlation function from specular meteor trail echoes. Each radar echo provides a measurement of a one-dimensional projection of the wind velocity vector at a randomly sampled point in space and time. The method relies on using pairs of such measurements to estimate the correlation function of the wind with different spatial and temporal lags. The method is demonstrated using a multistatic meteor radar data set that includes 100000 meteor echoes observed during a 24 hour time period. The new method is found to be in good agreement with the well established technique for estimating horizontal mean winds. High resolution correlation functions with temporal, horizontal, and vertical lags are also estimated from the data. The temporal correlation function is used to retreive the kinetic energy spectrum, which includes the semidiurnal mode and a three-hour period wave. The horizontal and vertical correlation functions of the wind are then used to derive second order structure functions, which are found to be compatible with the Kolmogorov prediction for spectral distribution of kinetic energy in the turbulent inertial range. The presented method can be used to extend the capabilities of specular meteor radars. It is relatively flexible and has a multitude of applications beyond what has been shown in this study. The dataset contains radial Doppler shifts and positions of meteor trails measured using specular meteor radars. The specular meteor radar system was a new experimental system that was operated in Kühlungsborn, Germany. The data spans a 24 hour period, between 2018-11-05T00:00:00Z to 2018-11-06T00:00:00Z. The measurements were generated with custom created software, which is described in the following article: Vierinen, J., Chau, J. L., Pfeffer, N., Clahsen, M., and Stober, G.: Coded continuous wave meteor radar, Atmos. Meas. Tech., 9, 829-839, https://doi.org/10.5194/amt-9-829-2016, 2016. |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Other Study Description Materials |
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Related Publications |
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Citation |
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Title: |
Vierinen et.al., Observing mesospheric turbulence with specular meteor radars: A novel method for estimating second order statistics of wind velocity, Earth and Space Science, IN PRESS. |
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Bibliographic Citation: |
Vierinen et.al., Observing mesospheric turbulence with specular meteor radars: A novel method for estimating second order statistics of wind velocity, Earth and Space Science, IN PRESS. |
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Citation |
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Title: |
Vierinen, J., Chau, J., Pfeffer, N., Clahsen, M., & Stober, G. (2016). Coded continuous wave meteor radar. Atmospheric Measurement Techniques, 9(2), 829-839. |
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Identification Number: |
10.5194/amt-9-829-2016 |
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Bibliographic Citation: |
Vierinen, J., Chau, J., Pfeffer, N., Clahsen, M., & Stober, G. (2016). Coded continuous wave meteor radar. Atmospheric Measurement Techniques, 9(2), 829-839. |
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Label: |
00_ReadMe.txt |
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Text: | |
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Notes: |
text/plain |
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Label: |
radial_wind_measurements.h5 |
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Text: |
Radial wind measurements from a meteor radar network, 2018-11-05T00:00:00Z to 2018-11-06T00:00:00Z . Produced with software described in: Vierinen, J., Chau, J. L., Pfeffer, N., Clahsen, M., and Stober, G.: Coded continuous wave meteor radar, Atmos. Meas. Tech., 9, 829-839, https://doi.org/10.5194/amt-9-829-2016, 2016. |
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Notes: |
application/x-hdf |
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Label: |
radial_wind_measurements.txt |
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Text: |
The contents of radial_wind_measurements.h5 in ASCII format. |
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Notes: |
text/plain |