Contamination of Wind Profiler Data by Migrating Birds: Characteristics of Corrupted Data and Potential Solutions

Wilczak, James M.; Strauch, R. G.; Ralph, F. Martin; Weber, B. L.; Merritt, D. A.; Jordan, James; Wolfe, D. E.; Lewis, L.; Wuertz, D. B.; Gaynor, J. E.; McLaughlin, S. A.; Rogers, Raymond R.; Riddle, A. C.; Dye, Timothy S.

doi:10.1175/1520-0426(1995)012<0449:cowpdb>2.0.co;2

Cited by 102 publications

(73 citation statements)

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“…This quality control includes both automated and manual checks of the wind-speed values, to detect unusually strong winds or outliers. Data for the six months of April-September have also been inspected for contamination from migrating birds (Wilczak et al 1995) by visual examination of signal-to-noise ratio, spectral width and wind-vector daily plots. Overall, the percentage of good hourly data on an annual basis for each site in the first 2 km of the boundary layer were CCO = 83.7%, SAC = 81.1%, LVR = 87.2%, CCL = 88.3% and LHS = 94.6%.…”

Section: Radar Wind Profilersmentioning

confidence: 99%

Diurnal Evolution and Annual Variability of Boundary-Layer Height and Its Correlation to Other Meteorological Variables in California’s Central Valley

Bianco

Djalalova

King

et al. 2011

Boundary-Layer Meteorol

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109

111

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One year of observations from a network of five 915-MHz boundary-layer radar wind profilers equipped with radio acoustic sounding systems located in California's Central Valley are used to investigate the annual variability of convective boundary-layer depth and its correlation to meteorological parameters and conditions. Results from the analysis show that at four of the sites, the boundary-layer height reaches its maximum in the late-spring months then surprisingly decreases during the summer months, with mean July depths almost identical to those for December. The temporal decrease in boundary-layer depth, as well as its spatial variation, is found to be consistent with the nocturnal low-level lapse rate observed at each site. Multiple forcing mechanisms that could explain the unexpected seasonal behaviour of boundary-layer depth are investigated, including solar radiation, precipitation, boundary-layer mesoscale convergence, low-level cold-air advection, local surface characteristics and irrigation patterns and synoptic-scale subsidence. Variations in solar radiation, precipitation and synoptic-scale subsidence do not explain the shallow summertime convective boundary-layer depths observed. Topographically forced cold-air advection and local land-use characteristics can help explain the shallow CBL depths at the four sites, while topographically forced low-level convergence helps maintain larger CBL depths at the fifth site near the southern end of the valley.

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Section: Radar Wind Profilersmentioning

confidence: 99%

Diurnal Evolution and Annual Variability of Boundary-Layer Height and Its Correlation to Other Meteorological Variables in California’s Central Valley

Bianco

Djalalova

King

et al. 2011

Boundary-Layer Meteorol

Self Cite

109

111

View full text Add to dashboard Cite

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“…These algorithms allow for higher data quality at faster data rates than previously possible. Errors in wind measurements caused by migratory birds (Wilczak et al, 1995) have been addressed through a new spectral averaging method (Merritt 1995).…”

Section: Mobile Profiling System (Mps)mentioning

confidence: 99%

Comparison of atmospheric transport calculations over complex terrain using a mobile profiling system and rawinsondes

Cox¹,

Cogan

Sontowski³

et al. 2000

Meteorological Applications

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A comparison of atmospheric transport and dispersion calculations over complex terrain was investigated using a mobile profiling system (MPS) versus standard meteorological balloons. Meteorological and sulfur hexafluoride (SF6) concentration data were collected and used to evaluate the performance of a transport and diffusion model coupled with a mass consistency wind field model. Meteorological data were collected throughout April 1995, and parts of August 1995. Both meteorological and concentration data were measured in December 1995. Once the models were validated, the comparison of performance with different upper‐air data were accomplished. The models used included the SCIPUFF (Second‐order Closure Integrated Puff) transport and diffusion model and the MINERVE mass consistency wind model. Evaluation of the models was focused primarily on their effectiveness as a short‐term (one to four hours) predictive tool. These studies showed how the combination of weather and transport models could be used to help direct emergency response following a hazardous material release. The models were used in tandem to direct the deployment of mobile sensors intended to intercept and measure tracer clouds. The MINERVE model was validated for the specific terrain of interest using April 1995 data. The capability of SCIPUFF driven by realistic three‐dimensional wind fields generated by MINERVE is demonstrated using data collected in December 1995. Copyright © 2000 Royal Meteorological Society

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“…Moving biological targets like birds and insects can cause a large error of wind velocity measured by wind profiling radars (e.g., Vaughn, 1985;Wilczak et al, 1995). Using CRI, moving clutter is able to be suppressed.…”

Section: Measurement Resultsmentioning

confidence: 99%

New Observations by Wind Profiling Radars

Yamamoto¹

2012

Doppler Radar Observations - Weather Radar, Wind Profiler, Ionospheric Radar, and Other Advanced Applications

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Contamination of Wind Profiler Data by Migrating Birds: Characteristics of Corrupted Data and Potential Solutions

Cited by 102 publications

References 0 publications

Diurnal Evolution and Annual Variability of Boundary-Layer Height and Its Correlation to Other Meteorological Variables in California’s Central Valley

Diurnal Evolution and Annual Variability of Boundary-Layer Height and Its Correlation to Other Meteorological Variables in California’s Central Valley

Comparison of atmospheric transport calculations over complex terrain using a mobile profiling system and rawinsondes

New Observations by Wind Profiling Radars

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