The Colorado Wind-Profiling Network

Strauch, R. G.; Merritt, D. A.; Moran, K. P.; Earnshaw, K. B.; Kamp, Danielle

doi:10.1175/1520-0426(1984)001<0037:tcwpn>2.0.co;2

Cited by 154 publications

(82 citation statements)

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“…This side lobe contamination may affect the Doppler measurement itself, as the spectra contain multiple or show smeared and asymmetric peaks, which are difficult to take into account with the momentum method. More information about the momentum method can be found in Strauch et al (1984). Thus the analysis is not able to derive a reliable radial velocity for these altitudes.…”

Section: Discussionmentioning

confidence: 99%

“…In DBS mode, off-zenith beams towards N, S, E, W and NW, NE, SW, SE at zenith angles between 6.8 and 7.3 • were formed for the measurements. The radial velocities of the MF radar are estimated using the momentum method (Strauch et al, 1984), and there is no available information about the statistical uncertainties in the radial velocity measurements (Hooper et al, 2007). Hence, we are not able to conduct a full error propagation to estimate the statistical uncertainties in the observed winds.…”

Section: Wind and Tidal Analysismentioning

confidence: 99%

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A comparison of 11-year mesospheric and lower thermospheric winds determined by meteor and MF radar at 69 ° N

2017

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Abstract. The Andenes Meteor Radar (MR) and the Saura Medium Frequency (MF) Radar are located in northern Norway (69 • N, 16 • E) and operate continuously to provide wind measurements of the mesosphere and lower thermosphere (MLT) region. We compare the two systems to find potential biases between the radars and combine the data from both systems to enhance altitudinal coverage between 60 and 110 km. The systems have altitudinal overlap between 78 and 100 km at which we compare winds and tides on the basis of hourly winds with 2 km altitude bins. Our results indicate reasonable agreement for the zonal and meridional wind components between 78 and 92 km. An exception to this is the altitude range below 84 km during the summer, at which the correlation decreases. We also compare semidiurnal and diurnal tides according to their amplitudes and phases with good agreement below 90 km for the diurnal and below 96 km for the semidiurnal tides.Based on these findings we have taken the MR data as a reference. By comparing the MF and MR winds within the overlapping region, we have empirically estimated correction factors to be applied to the MF winds. Existing gaps in that data set will be filled with weighted MF data. This weighting is done due to underestimated wind values of the MF compared to the MR, and the resulting correction factors fit to a polynomial function of second degree within the overlapping area. We are therefore able to construct a consistent and homogenous wind from approximately 60 to 110 km.

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Section: Discussionmentioning

confidence: 99%

Section: Wind and Tidal Analysismentioning

confidence: 99%

A comparison of 11-year mesospheric and lower thermospheric winds determined by meteor and MF radar at 69 ° N

2017

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“…Eventually, a total of five cycles per mode is used to generate 30 min averaged profiles. The averaging algorithm used is called "consensus averaging" (Fischler and Bolles, 1981;Strauch et al, 1984) and is applied to each beam direction separately. This algorithm facilitates discrimination between "good" and "bad" estimates in the regime of low signal-to-noise ratios (SNR) (Frehlich and Yadlowsky, 1994).…”

Section: Mhz Radar Wind Profilermentioning

confidence: 99%

An assessment of the performance of a 1.5 μm Doppler lidar for operational vertical wind profiling based on a 1-year trial

Päschke¹,

Leinweber²,

Lehmann³

2015

Atmos. Meas. Tech.

104

164

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Abstract. We present the results of a 1-year quasioperational testing of the 1.5 µm StreamLine Doppler lidar developed by Halo Photonics from 2 October 2012 to 2 October 2013. The system was configured to continuously perform a velocity-azimuth display scan pattern using 24 azimuthal directions with a constant beam elevation angle of 75 • . Radial wind estimates were selected using a rather conservative signal-to-noise ratio based threshold of −18.2 dB (0.015). A 30 min average profile of the wind vector was calculated based on the assumption of a horizontally homogeneous wind field through a Moore-Penrose pseudoinverse of the overdetermined linear system. A strategy for the quality control of the retrieved wind vector components is outlined for ensuring consistency between the Doppler lidar wind products and the inherent assumptions employed in the wind vector retrieval. Quality-controlled lidar measurements were compared with independent reference data from a collocated operational 482 MHz radar wind profiler running in a four-beam Doppler beam swinging mode and winds from operational radiosonde measurements. The intercomparison results reveal a particularly good agreement between the Doppler lidar and the radar wind profiler, with root mean square errors ranging between 0.5 and 0.7 m s −1 for wind speed and between 5 and 10 • for wind direction. The median of the half-hourly averaged wind speed for the intercomparison data set is 8.2 m s −1 , with a lower quartile of 5.4 m s −1 and an upper quartile of 11.6 m s −1 .

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“…It was part of the Colorado network (Strauch et al 1984) and led to the development of the National Oceanic and Atmospheric Administration's (NOAA) 30-station UHF wind profiler network that was installed in the late 1980s and early 1990s (Weber et al 1990). The 915-MHz radar was moved in 1997 from Stapleton International Airport to its current location at the Platteville Atmospheric Observatory (40.19ЊN, 104.73ЊW, 1521 m above mean sea level) in Platteville, Colorado.…”

Section: Rim Implementation On the Platteville 915-mhz Tropospheric Pmentioning

confidence: 99%

Implementation and Validation of Range Imaging on a UHF Radar Wind Profiler

Chilson¹,

Yu²,

Strauch³

et al. 2003

J. Atmos. Oceanic Technol.

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The available range resolution of pulsed radar wind profilers is usually limited by bandwidth restrictions. Range imaging (RIM) has recently been developed as a means of mitigating these limitations by operating the wind profilers over a small set of distinct transmitter frequencies. A constrained optimization method can then be used to generate high-resolution maps of the reflectivity field as a function of range. This paper presents a description of how the RIM technique has been recently implemented on the Platteville 915-MHz tropospheric profiler, the first such implementation at UHF. Examples of data collected during a two-part experiment on 10 April 2001 using the Platteville 915-MHz tropospheric profiler are presented. In the first part, an intercomparison was made involving measurements from RIM and standard radar techniques. It is shown that available frequency bandwidth can be very effectively utilized through the RIM processing. In the second part of the experiment, RIM was applied to radar observations collected with a short (0.5 s) transmit pulse. The resulting data include observations of a thin, persistent scattering layer attributed to a subsidence inversion and billows from a KelvinHelmholtz instability. Estimates of the width of the layer were found to be as small as 12 m.

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The Colorado Wind-Profiling Network

Cited by 154 publications

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A comparison of 11-year mesospheric and lower thermospheric winds determined by meteor and MF radar at 69 ° N

A comparison of 11-year mesospheric and lower thermospheric winds determined by meteor and MF radar at 69 ° N

An assessment of the performance of a 1.5 μm Doppler lidar for operational vertical wind profiling based on a 1-year trial

Implementation and Validation of Range Imaging on a UHF Radar Wind Profiler

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The Colorado Wind-Profiling Network

Cited by 154 publications

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A comparison of 11-year mesospheric and lower thermospheric winds determined by meteor and MF radar at 69 ° N

A comparison of 11-year mesospheric and lower thermospheric winds determined by meteor and MF radar at 69 ° N

An assessment of the performance of a 1.5 μm Doppler lidar for operational vertical wind profiling based on a 1-year trial

Implementation and Validation of Range Imaging on a UHF Radar Wind Profiler

Contact Info

Product

Resources

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A comparison of 11-year mesospheric and lower thermospheric winds determined by meteor and MF radar at 69 ° N

A comparison of 11-year mesospheric and lower thermospheric winds determined by meteor and MF radar at 69 ° N