Errors in radial velocity variance from Doppler wind lidar

Atmospheric Measurement Techniques

Volumn 9, Issue 8, 2016, Pages 4123-4139

  Wang, H ^a   Barthelmie, R J ^a   Doubrawa, P ^a   Pryor, S C ^b  

^a Cornell University   (United States)

^b Institute for the Study of the Continents   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOCORRELATION; DOPPLER LIDAR; ERROR ANALYSIS; MEASUREMENT METHOD; SAMPLING; TURBULENCE; VELOCITY PROFILE; WIND VELOCITY;

EID: 84984669481     PISSN: 18671381     EISSN: 18678548     Source Type: Journal    
DOI: 10.5194/amt-9-4123-2016     Document Type: Article

References (30)

1. Banta, R. M., Pichugina, Y. L., Kelley, N. D., Hardesty, R. M., and Brewer, W. A.: Wind energy meteorology: Insight into wind properties in the turbine-rotor layer of the atmosphere from highresolution Doppler lidar, B. Am. Meteorol. Soc., 94, 883-902, doi:10.1175/BAMS-D-11-00057.1, 2013.
2. Barthelmie, R. J., Wang, H., Doubrawa, P., Giroux, G., and Pryor, S. C.: Effects of an escarpment on flow parameters of relevance to wind turbines, Wind Energy, doi:10.1002/we.1980, online first, 2016.
3. Box, G. E. P., Jenkins, G. M., Reinsel, G. C., and Ljung, G. M.: Time Series Analysis: Forecasting and Control, John Wiley & Sons, 712 pp., 2015.
4. Branlard, E., Pedersen, A. T., Mann, J., Angelou, N., Fischer, A., Mikkelsen, T., Harris, M., Slinger, C., and Montes, B. F.: Retrieving wind statistics from average spectrum of continuouswave lidar, Atmos. Meas. Tech., 6, 1673-1683, doi:10.5194/amt-6-1673-2013, 2013.
5. Burton, T., Sharpe, D., Jenkins, N., and Bossanyi, E.: Wind energy handbook, John Wiley & Sons, 780 pp., 2011.
6. Clifton, A., Elliott, D., and Courtney, M.: Groundbased vertically profiling remote sensing for wind resource assessment, report, IEA Wind, available at: http://www.ieawind.org/index-page-postings/(last access: 28 February 2016), 2013.
7. Foken, T. and Wichura, B.: Tools for quality assessment of surfacebased flux measurements, Agr. Forest. Meteorol., 78, 83-105, doi:10.1016/0168-1923(95)02248-1, 1996.
8. Frehlich, R.: Effects of wind turbulence on coherent Doppler lidar performance, J. Atmos. Ocean. Tech., 14, 54-75, doi:10.1175/1520-0426(1997)0140054:EOWTOC2.0.CO;2, 1997.
9. Frehlich, R.: Estimation of velocity error for Doppler lidar measurements, J. Atmos. Ocean. Tech., 18, 1628-1639, doi:10.1175/1520-0426(2001)0181628:EOVEFD2.0.CO;2, 2001.
10. Frehlich, R. and Yadlowsky, M. J.: Performance of meanfrequency estimators for Doppler radar and lidar, J. Atmos. Ocean. Tech., 11, 1217-1230, doi:10.1175/1520-0426(1994)0111217:POMFEF2.0.CO;2, 1994.
11. Frehlich, R., Hannon, S. M., and Henderson, S. W.: Performance of a 2-?m coherent Doppler lidar for wind measurements, J. Atmos. Ocean. Tech., 11, 1517-1528, doi:10.1175/1520-0426(1994)0111517:POACDL2.0.CO;2, 1994.
12. Gottschall, J., Courtney, M. S., Wagner, R., Jørgensen, H. E., and Antoniou, I.: Lidar profilers in the context of wind energy-A verification procedure for traceable measurements,Wind Energy, 15, 147-159, doi:10.1002/we.518, 2012.
13. Kristensen, L., Kirkegaard, P., and Mikkelsen, T.: Determining the velocity fine structure by a laser anemometer with fixed orientation, Tech. Rep. Risø-R-1762(EN), Technical University of Denmark, available at: http://orbit.dtu.dk/fedora/(last access: 28 February 2016), 2011.
14. Larsén, X. G., Larsen, S. E., and Petersen, E. L.: Full-scale spectrum of boundary-layer winds, Bound.-Lay. Meteorol., 159, 349-371, doi:10.1007/s10546-016-0129-x, 2016.
15. Lenschow, D. H., Mann, J., and Kristensen, L.: How long is long enough when measuring fluxes and other turbulence statistics?, J. Atmos. Ocean. Tech., 11, 661-673, doi:10.1175/1520-0426(1994)0110661:HLILEW2.0.CO;2, 1994.
16. Lenschow, D. H., Wulfmeyer, V., and Senff, C.: Measuring second-through fourth-order moments in noisy data, J. Atmos. Ocean. Tech., 17, 1330-1347, doi:10.1175/1520-0426(2000)0171330:MSTFOM2.0.CO;2, 2000.
17. Lindelöw-Marsden, P.: UpWind D1, Uncertainties in wind assessment with LIDAR, Tech. Rep. Risø-R-1681(EN), Technical University of Denmark, available at: http://orbit.dtu.dk/fedora/(last access: 28 February 2016), 2009.
18. Mann, J., Cariou, J.-P., Courtney, M. S., Parmentier, R., Mikkelsen, T., Wagner, R., Lindelöw, P., Sjöholm, M., and Enevoldsen, K.: Comparison of 3D turbulence measurements using three staring wind lidars and a sonic anemometer, IOP C. Ser. Earth. Env., 1, 012012, doi:10.1088/1755-1315/1/1/012012, 2008.
19. Mann, J., Penã, A., Bingöl, F., Wagner, R., and Courtney, M. S.: Lidar scanning of momentum flux in and above the atmospheric surface layer, J. Atmos. Ocean. Tech., 27, 959-976, doi:10.1175/2010JTECHA1389.1, 2010.
20. Newman, J. F., Klein, P. M., Wharton, S., Sathe, A., Bonin, T. A., Chilson, P. B., and Muschinski, A.: Evaluation of three lidar scanning strategies for turbulence measurements, Atmos. Meas. Tech., 9, 1993-2013, doi:10.5194/amt-9-1993-2016, 2016.
21. Pearson, G. N. and Collier, C. G.: A pulsed coherent CO2 lidar for boundary-layer meteorology, Q. J. Roy. Meteor. Soc., 125, 2703-2721, doi:10.1002/qj.49712555918, 1999.
22. Politis, D. N. and Romano, J. P.: The stationary bootstrap, J. Am. Stat. Assoc., 89, 1303-1313, doi:10.1080/01621459.1994.10476870, 1994.
23. Politis, D. N. and White, H.: Automatic block-length selection for the dependent bootstrap, Econom. Rev., 23, 53-70, 2004.
24. Pope, S. B.: Turbulent flows, Cambridge University Press, 802 pp., 2000.
25. Sathe, A. and Mann, J.: Measurement of turbulence spectra using scanning pulsed wind lidars, J. Geophys. Res., 117, D01201, doi:10.1029/2011JD016786, 2012.
26. Sathe, A. and Mann, J.: A review of turbulence measurements using ground-based wind lidars, Atmos. Meas. Tech., 6, 3147-3167, doi:10.5194/amt-6-3147-2013, 2013.
27. Sathe, A., Mann, J., Gottschall, J., and Courtney, M. S.: Can Wind Lidars Measure Turbulence?, J. Atmos. Ocean. Tech., 28, 853-868, doi:10.1175/JTECH-D-10-05004.1, 2011.
28. Sathe, A., Mann, J., Vasiljevic, N., and Lea, G.: A six-beam method to measure turbulence statistics using ground-based wind lidars, Atmos. Meas. Tech., 8, 729-740, doi:10.5194/amt-8-729-2015, 2015.
29. Taylor, G. I.: The spectrum of turbulence, P. Roy. Soc. Lond. A Mat., 164, 476-490, doi:10.1098/rspa.1938.0032, 1938.
30. Wang, H., Barthelmie, R. J., Pryor, S. C., and Brown, G.: Lidar arc scan uncertainty reduction through scanning geometry optimization, Atmos. Meas. Tech., 9, 1653-1669, doi:10.5194/amt-9-1653-2016, 2016.