Simulation of Doppler lidar measurement range and data availability

Journal of Atmospheric and Oceanic Technology

Volumn 33, Issue 5, 2016, Pages 977-987

  Boquet, Matthieu ^a   Royer, Philippe ^a   Cariou, Jean Pierre ^a   Machta, Mehdi ^a   Valla, Matthieu ^b  

^a LEOSPHERE   (France)

^b ONERA   (France)

Author keywords

Instrumentation sensors; Lidars Lidar observations; Observational techniques and algorithms; Remote sensing

Indexed keywords

ATMOSPHERIC AEROSOLS; DOPPLER EFFECT; LASER BEAMS; OPTICAL PROPERTIES; REMOTE SENSING; WIND;

AEROSOL OPTICAL PROPERTY; ATMOSPHERIC OBSERVATIONS; DENSITY DISTRIBUTIONS; DOPPLER LIDAR MEASUREMENTS; INSTRUMENTATION/SENSORS; LIDARS/LIDAR OBSERVATIONS; MEASUREMENT CAMPAIGN; METROLOGICAL PERFORMANCE;

OPTICAL RADAR;

AEROSOL; ALGORITHM; DOPPLER LIDAR; OBSERVATIONAL METHOD; REMOTE SENSING; WIND VELOCITY;

EID: 84984686663     PISSN: 07390572     EISSN: 15200426     Source Type: Journal    
DOI: 10.1175/JTECH-D-15-0057.1     Document Type: Article

References (21)

1. Aitken, L. M., M. E. Rhodes, and J. K. Lundquist, 2012: Performance of a wind-profiling lidar in the region of wind turbine rotor disks. J. Atmos. Oceanic Technol., 29, 347-355, doi:10.1175/JTECH-D-11-00033.1.
2. Ångström, A., 1964: The parameters of atmospheric turbidity. Tellus, 16A, 64-75, doi:10.1111/j.2153-3490.1964.tb00144.x.
3. Cattrall, C., J. Reagan, K. Thome, and O. Dubovik, 2005: Variability of aerosol and spectral lidar and backscatter and extinction ratios of key aerosol types derived from selected Aerosol Robotic Network locations. J. Geophys. Res., 110, D10S11, doi:10.1029/2004JD005124.
4. Clifton, A., D. Elliott, and M. Courtney, Eds., 2013: Ground-based vertically-profiling remote sensing for wind resource assessment. 1st ed. Expert Group Study on Recommended Practices, 15, International Energy Agency, 43 pp. [Available online at https://www.ieawind.org/index_page_postings/RP/RP%2015_RemoteSensing_1stEd_8March2013.pdf.]
5. Davoust, S., A. K. Scholbrock, P. Fleming, A. Jéhu, M. Bardon, M. Bouillet, B. Vercherin, and A. Wright, 2014: Assessment and optimization of lidar measurement availability for wind turbine control. Preprints, European Wind Energy Association 2014, Barcelona, Spain, EWEA. [Available online at http://www.nrel.gov/docs/fy14osti/61332.pdf.]
6. ECMWF, 2012: MACC-IFS NRT forecast of global total aerosol optical depth at multiple wavelengths, MACC-II products. [Available online at http://apps.ecmwf.int/datasets/data/macc-nrealtime/levtype=sfc/.]
7. Fleming, P. A., A. K. Scholbrock, A. Jéhu, S. Davoust, E. Osler, A. D. Wright, and A. Clifton, 2014: Field-test results using a nacelle-mounted lidar for improving wind turbine power capture by reducing yaw misalignment. J. Phys.: Conf. Ser., 524, 012002, doi:10.1088/1742-6596/524/1/012002.
8. Hennemuth, B., and A. Lammert, 2006: Determination of the atmospheric boundary layer height from radiosonde and lidar backscatter. Bound.-Layer Meteor., 12, 181-200, doi:10.1007/s10546-005-9035-3.
9. Holben, B. N., and Coauthors, 1998: AERONET-A federated instrument network and data archive for aerosol characterization. Remote Sens. Environ., 66, 1-16, doi:10.1016/S0034-4257(98)00031-5.
10. ICAO, 2013: Meteorological Service for International Air Navigation. 18th ed. Annex to the Convention on International Civil Aviation, 3, International Civil Aviation Organization, 208 pp.
11. Illingworth, A. J., D. Cimini, C. Gaffard, M. Haeffelin, V. Lehmann, U. Löhnert, E. J. O'Connor, and D. Ruffieux, 2015: Exploiting existing ground-based remote sensing networks to improve high-resolution weather forecasts. Bull. Amer. Meteor. Soc., 96, 2107-2125, doi:10.1175/BAMS-D-13-00283.1.
12. ISO, 2005: Lasers and laser-related equipment-Test methods for laser beam widths, divergence angles and beam propagation ratios; Part 2: General astigmatic beams. Standard 11146-2:2005, International Organization for Standardization, 15 pp.
13. Kim, I. I., and B. McArthur, 2001: Comparison of laser beam propagation at 785nm and 1550 nm in fog and haze for optical wireless communications. Optical Wireless Communications III, E. J. Korevaar, Ed., International Society for Optical Engineering (SPIE Proceedings, Vol. 4214), doi:10.1117/12.417512.
14. Koroshetz, J. E., 2005: Fiber lasers for lidar. Proc. Optical Fiber Communication Conf. and Exposition and the National Fiber Optic Engineers Conf., Anaheim, CA, Optical Society of America, OFJ4. [Available online at https://www.osapublishing.org/abstract.cfm?URI5OFC-2005-OFJ4.]
15. Lawson, J. K., and C. J. Carrano, 2006: Using historic models of Cn2 to predict r0 and regimes affected by atmospheric turbulence for horizontal, slant and topological paths. Atmospheric Optical Modeling, Measurement, and Simulation II, S. M. Hammel and A. Kohnle, Eds., International Society for Optical Engineering (SPIE Proceedings, Vol. 6303), 630304, doi:10.1117/12.679108.
16. Matayoshi, A., and E. Yoshikawa, 2015: Dynamic wake vortex separation combining with AMAN/DMAN concept. Proc. 15th AIAA Aviation Technology, Integration, and Operations Conf., Dallas, TX, AIAA, AIAA 2015-3397, doi:10.2514/6.2015-3397.
17. NASAGSFL, 2006:Aeronet RoboticNetwork Data Download Tool, version 2. [Available online at http://aeronet.gsfc.nasa.gov/.]
18. Odell, P. L., and A. H. Feiveson, 1966: A numerical procedure to generate a sample covariance matrix. J. Amer. Stat. Assoc., 61, 199-203, doi:10.1080/01621459.1966.10502018.
19. Targ, R., M. J. Kavaya, R. M. Huffaker, and R. L. Bowles, 1991: Coherent lidar airborne windshear sensor: Performance evaluation. Appl. Opt., 30, 2013-2026, doi:10.1364/AO.30.002013.
20. Valla, M., 2005: Study of a pulsed Doppler lidar based on an erbium fiber amplifier for wind field measurements in the boundary layer of the atmosphere (in French). Ph. D thesis, Ecole Nationale Supérieure des Télécommunications, 172 pp. [Available online at http://www.theses.fr/2005ENST0030.]
21. Wagner, R., 2010: Accounting for the speed shear in wind turbine power performance measurement. Ph. D thesis, Risø National Laboratory for Sustainable Energy, 124 pp. [Available online at http://orbit.dtu.dk/files/6433255/ris-phd-58.pdf.]