Addressing spatial variability of surface-layer wind with long-range WindScanners

Journal of Atmospheric and Oceanic Technology

Volumn 32, Issue 3, 2015, Pages 518-527

  Berg, Jacob ^a   Vasiljevíc, Nikola ^a   Kelly, Mark ^a   Lea, Guillaume ^a   Courtney, Michael ^a  

^a TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

Author keywords

Lidars Lidar observations; Remote sensing; Wind effects

Indexed keywords

WIND EFFECTS;

ANALYSIS OF MEANS; COORDINATED SYSTEM; FULLY OPERATIONAL; LIDARS/LIDAR OBSERVATIONS; SPATIAL VARIABILITY; SURFACE LAYER WINDS; THREE-DIMENSIONAL VOLUME; VERTICAL VELOCITY COMPONENTS;

REMOTE SENSING;

LIDAR; LONG RANGE TRANSPORT; REMOTE SENSING; SATELLITE DATA; SPATIAL VARIATION; SURFACE LAYER; WIND FIELD; WIND MEASUREMENT;

EID: 84944030486     PISSN: 07390572     EISSN: 15200426     Source Type: Journal    
DOI: 10.1175/JTECH-D-14-00123.1     Document Type: Article

References (25)

1. Aitken, M. L., R. M. Banta, Y. L. Pichugina, and J. K. Lundquist, 2014: Quantifying wind turbine wake characteristics from scanning remote sensor data. J. Atmos. Oceanic Technol., 31, 765-787, doi:10.1175/JTECH-D-13-00104.1.
2. Bechmann, A., N. N. Sørensen, J. Berg, J. Mann, and P.-E. Réthoré, 2011: The Bolund Experiment, Part II: Blind comparison of microscale flow models. Bound.-Layer Meteor., 141, 245-271, doi:10.1007/s10546-011-9637-x.
3. Berg, J., J. Mann, and E. G. Patton, 2013: Lidar-observed stress vectors and veer in the atmospheric boundary layer. J. Atmos. Oceanic Technol., 30, 1961, doi:10.1175/JTECH-D-12-00266.1.
4. Bingöl, F., J. Mann, and D. Foussekis, 2009: Conically scanning lidar error in complex terrain. Meteor. Z., 18, 189-195, doi:10.1127/0941-2948/2009/0368.
5. Bingöl, F., J. Mann, and G. C. Larsen, 2010: Lidar measurements of wake dynamics part I: One-dimensional scanning. Wind Energy, 13, 51-61, doi:10.1002/we.352.
6. Bradley, E. F., 1968: A micrometeorological study of vertical profiles and surface drag in the region modified by a change in surface roughness. Quart. J. Roy. Meteor. Soc., 94, 361-379, doi:10.1002/qj.49709440111.
7. Browning, K. A., and R. Wexler, 1968: The determination of kinematic properties of a wind field using Doppler radar. J. Appl. Meteor., 7, 105-113, doi:10.1175/1520-0450(1968)007<0105:TDOKPO>2.0.CO;2.
8. Courtney, M., R. Wagner, and P. Lindelöw, 2008: Testing and comparison of lidars for profile and turbulence measurements in wind energy. IOP Conf. Ser.: Earth Environ. Sci., 1, 012021, doi:10.1088/1755-1315/1/1/012021.
9. Emeis, S., M. Harris, and R. M. Banta, 2007: Boundary-layer anemometry by optical remote sensing for wind energy applications.Meteor.Z., 16, 337-347, doi:10.1127/0941-2948/2007/0225.
10. Mann, J., 1994: The spatial structure of neutral atmospheric surface-layer turbulence. J. Fluid Mech., 273, 141-168, doi:10.1017/S0022112094001886.
11. Mayor, S. D., and E. W. Eloranta, 2001: Two-dimensional vector wind fields from volume imaging lidar data. J. Appl. Meteor., 40, 1331-1346, doi:10.1175/1520-0450(2001)040<1331:TDVWFF>2.0.CO;2.
12. Newsom, R., R. Calhoun, D. Ligon, and J. Allwine, 2008: Linearly organized turbulence structures observed over a suburban area by dual-Doppler lidar. Bound.-Layer Meteor., 127, 111-130, doi:10.1007/s10546-007-9243-0.
13. Peña, A., C. B. Hasager, S.-E. Gryning, M. Courtney, I. Antoniou, and T. Mikkelsen, 2009: Offshore wind profiling using light detection and ranging measurements. Wind Energy, 12, 105-124, doi:10.1002/we.283.
14. Peña, A., S.-E. Gryning, J. Mann, and C. B. Hasager, 2010: Length scales of the neutral wind profile over homogeneous terrain. J. Appl. Meteor. Climatol., 49, 792-806, doi:10.1175/2009JAMC2148.1.
15. Peña, A., R. R. Floors, and S.-E. Gryning, 2014: The Høvsøre Tall Wind-Profile Experiment: A description of wind profile observations in the atmospheric boundary layer. Bound.-Layer Meteor., 150, 69-89, doi:10.1007/s10546-013-9856-4.
16. Sathe, A., and J. Mann, 2013: A review of turbulence measurements using ground-based wind lidars. Atmos. Meas. Tech., 6, 3147-3167, doi:10.5194/amt-6-3147-2013.
17. Sathe, A., and J. Mann, J. Gottschall, and M. S. Courtney, 2011: Can wind lidars measure turbulence? J. Atmos. Oceanic Technol., 28, 853-868, doi:10.1175/JTECH-D-10-05004.1.
18. Smalikho, I. N., V. A. Banakh, Y. L. Pichugina, W. A. Brewer, R. M. Banta, J. K. Lundquist, and N. D. Kelley, 2013: Lidar investigation of atmosphere effect on a wind turbine wake. J. Atmos. Oceanic Technol., 30, 2554-2570, doi:10.1175/JTECH-D-12-00108.1.
19. Strang, G., 2005: Linear Algebra and Its Applications. 4th ed. Cengage Learning, 496 pp.
20. Trujillo, J.-J., F. Bingöl, G. Larsen, J. Mann, and M. Kühn, 2011: Light detection and ranging measurements of wake dynamics. Part II: Two-dimensional scanning. Wind Energy, 14, 61-75, doi:10.1002/we.402.
21. Vasiljevic, N., 2014: A time-space synchronization of coherent Doppler scanning lidars for 3D measurements of wind fields. Ph.D. thesis, Technical University of Denmark, 176 pp.
22. Vasiljevic, N., G. Lea, M. Courtney, J. Mann, and T. Mikkelsen, 2013: The long-range WindScanner system-How to synchronously intersect multiple laser beams. Proc. EWEA 2013 Conf., Vienna, Austria, EWEA, 457. [Available online at http://proceedings.ewea.org/annual2013/allfiles/634_EWEA2013presentation.pptx.].
23. Vasiljevic, N., G. Lea, M. Courtney, J. Schneemann, D. Trabucchi, J.-J. Trujillo, R. Unguran, and J.-P. Villa, 2013: The application layer protocol: Remote Sensing Communication Protocol (RSComPro). DTU Wind Energy E 0017 (EN), 43 pp.
24. Wyngaard, J. C., 2004: Toward numerical modeling in the "terra incognita." J. Atmos. Sci., 61, 1816-1826, doi:10.1175/1520-0469(2004)061<1816:TNMITT>2.0.CO;2.
25. Wyngaard, J. C., 2010: Turbulence in the Atmosphere. Cambridge University Press, 406 pp.