H. Al-sakka, A. Weill, C. L. Gac, R. Ney, L. Chardenal et al., CURIE: A low power X-band, p.2289, 2009.
DOI : 10.1127/0941-2948/2009/0377

URL : https://hal.archives-ouvertes.fr/hal-00410323

. American and . Society-|, , 2018.

, layer Doppler radar. Meteor. Z, vol.18, pp.267-276

F. Barbaresco, L. Thobois, A. Dolfi-bouteyre, N. Jeannin, R. Wilson et al., Monitoring wind, turbulence and aircraft wake vortices by high resolution RADAR and LIDAR remote sensors in all weather conditions, URSI France Journées Scientifiques, pp.81-110, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01137973

. Boeing, Statistical summary of commercial jet airplane accidents worldwide operations 1959-2012, vol.26, p.pp, 2013.

D. Bouniol, A. Illingworth, and R. Hogan, Deriving turbulent kinetic energy dissipation rate within clouds using ground based radar, Proc. Third European Conf. on Radar Meteorology, pp.281-285, 2004.

K. A. Brewster and D. S. Zrni?, Comparison of eddy dissipation rates from spatial spectra of Doppler velocities and Doppler spectrum widths, J. Atmos. Oceanic Technol, vol.3, pp.440-452, 1986.

J. Cariou, B. Augere, and M. Valla, Laser source requirements for coherent lidars based on fiber technology, C. R. Phys, vol.7, pp.213-223, 2006.

P. W. Chan, Generation of an eddy dissipation rate map at the Hong Kong International Airport based on Doppler lidar data, Operational LIDAR-based system for automatic windshear alerting at the Hong Kong International Airport. 12th, vol.28, pp.37-49, 2006.

, Conf. on Aviation Range and Aerospace Meteorology, vol.11

S. De-haan, 2013: An improved correction method for high quality wind and temperature observations derived from Mode-S EHS. KNMI Tech. Rep. TR-338, 54 pp., www .sciamachy-validation.org/bibliotheek/knmipubTR /TR338.pdf. -, and A. Stoffelen, 2012: Assimilation of highresolution Mode-S wind and temperature observations in a regional NWP model for nowcasting applications, High-resolution wind and temperature observations from aircraft tracked by Mode-S air traffic control radar, vol.116, pp.918-937, 2011.

D. Visscher, I. , L. Bricteux, and G. Winckelmans, Aircraft vortices in stably stratified and weakly turbulent atmospheres: Simulation and modeling, AIAA J, vol.51, pp.551-566, 2013.

A. Dolfi-bouteyre and C. , Pulsed 1.5-mm LIDAR for axial aircraft wake vortex detection based on high-brightness large-core fiber amplifier, IEEE J. Sel. Top. Quantum Electron, vol.15, pp.441-450, 2009.

R. J. Doviak and D. S. Zrni?, Performance review report: An assessment of air traffic management in Europe during the calendar year 2013. Performance Review Commission Tech, Doppler Radar and Weather Observations, vol.562, 1993.

R. Frehlich, S. M. Hannon, and S. W. Henderson, Coherent Doppler lidar measurements of wind field statistics, vol.86, pp.233-256, 1998.

A. S. Frisch and S. F. Clifford, A study of convection capped by a stable layer using Doppler radar and acoustic echo sounders, J. Atmos. Sci, vol.31, pp.1622-1628, 1974.

T. Gerz, F. Holzäpfel, and D. Darracq, Commercial aircraft wake vortices, Prog. Aerosp. Sci, vol.38, pp.181-208, 2002.

E. E. Gossard, D. E. Wolfe, K. P. Moran, R. A. Paulus, K. D. Anderson et al., Measurement of clear-air gradients and turbulence properties with radar wind profilers, J. Atmos. Oceanic Technol, vol.15, pp.321-342, 1998.

R. Hill and S. Clifford, Modified spectrum of atmospheric temperature fluctuations and its application to optical propagation, J. Opt. Soc. Amer, vol.68, pp.892-899, 1978.

F. Holzäpfel, Probabilistic two-phase aircraft wake-vortex model: Further development and assessment, J. Aircr, vol.43, pp.700-708, 2006.

-. , T. Gerz, F. Köpp, E. Stumpf, M. Harris et al., Strategies for circulation evaluation of aircraft wake vortices measured by lidar, J. Atmos. Oceanic Technol, vol.20, pp.1183-1195, 2003.

, Manual on low-level wind shear. International Civil Aviation Organization Tech, ICAO, p.9817, 2005.

, global air navigation capacity & efficiency plan. International Civil Aviation Organization Tech. Doc. 9750, 137 pp., www.icao.int /Meetings/anconf12/Documents/Draft%20Doc%20 9750.GANP.en.pdf. -, 2016: Annex 3 to the Convention on International Civil Aviation. 19th ed. International Civil Aviation Organization, Procedures for air navigation services: Air traffic management, vol.82, p.pp, 2007.

A. J. Illingworth, D. Cimini, C. Gaffard, M. Haeffelin, V. Lehmann et al., Exploiting existing ground-based remote sensing networks to improve high-resolution weather forecasts, Bull. Amer. Meteor. Soc, vol.96, pp.2107-2125, 2015.

S. Jacoby-koaly, S. B.-campistron, B. Bernard, F. Bénech, J. Girard-ardhuin et al., Turbulent dissipation rate in the boundary layer via UHF wind profiler Doppler spectral width measurements. Bound.-Layer Meteor, vol.103, pp.361-389, 2002.

S. Kameyama, T. Ando, K. Asaka, Y. Hirano, and S. Wadaka, Compact all-fiber pulsed coherent Doppler lidar system for wind sensing, Appl. Opt, vol.46, 1953.

A. Klein, S. Kavoussi, and R. S. Lee, Weather forecast accuracy: Study of impact on airport capacity and estimation of avoidable costs. Eighth USA/Europe Air Traffic Management Research and Development Seminar, vol.10, 2009.

A. Kolmogorov, 1941: Dissipation of energy in locally isotropic turbulence, Dokl. Akad. Nauk SSSR, vol.32, pp.16-18

S. Kongara, R. Calhoun, A. Choukulkar, and M. Boldi, Velocity retrieval for coherent Doppler lidar, Int. J. Remote Sens, vol.33, pp.3596-3613, 2012.

F. Köpp, S. Rahm, I. Smakikho, A. Dolfi, J. Cariou et al., Comparison of wake-vortex parameters measured by pulsed and continuouswave lidars, J. Aircr, vol.42, pp.916-923, 2005.

H. Koschmieder, Theorie der horizontalen Sichtweite, vol.12, pp.33-55, 1925.

D. Kovalev, D. Vanhoenacker-janvier, R. Wilson, and F. Barbaresco, Electromagnetic wind radar simulator validation using meteorological data and a zenith X-band radar, European Radar Conf, pp.121-124, 2016.

R. Krishnamurthy, A. Choukulkar, R. Calhoun, J. Fine, A. Oliver et al., Coherent Doppler lidar for wind farm characterization, Wind Energy, vol.16, pp.189-206, 2013.

G. Kulcsar, Y. Jaouen, G. Canat, E. Olmedo, and G. Debarge, Multiple-Stokes stimulated Brillouin scattering generation in pulsed high-power double-cladding Er/sup 3+/-Yb/sup 3+/-codoped fiber amplifier, IEEE Photonics Technol. Lett, vol.15, pp.801-803, 2003.

G. Kulesa, Weather and aviation: How does weather affect the safety and operations of airports and aviation, and how does FAA work to manage weather-related effects? Potential Impacts of Climate Change on Transportation Workshop, pp.199-208, 2003.

L. Lombard and C. , Long range wind lidars based on novel high spectral brilliance allfibered sources, Proc. SPIE, 9645, 96450B, 2015.

A. S. Monin and A. M. Yaglom, Statistical Fluid Mechanics: Mechanics of Turbulence, vol.2, p.pp, 1975.

C. Morris, J. Peters, and P. Choroba, Validation of the time based separation concept at London Heathrow Airport. 10th USA/Europe Air Traffic Management Research and Development Seminar, vol.222, 2013.

A. Muschinski, P. P. Sullivan, D. B. Wuertz, R. J. Hill, S. A. Cohn et al., First synthesis of wind-profiler signals on the basis of large-eddy simulation data, Radio Sci, vol.34, pp.1437-1459, 1999.

G. D. Nastrom, Doppler radar spectral width broadening due to beamwidth and wind shear, 1997.
URL : https://hal.archives-ouvertes.fr/hal-00316284

A. Geophys, , vol.15, pp.585-997

-. and F. D. Eaton, Turbulence eddy dissipation rates from radar observations at 5-20 km at White Sands Missile Range, J. Geophys. Res, vol.102, pp.495-514, 1997.

E. J. O'connor, A. J. Illingworth, I. M. Brooks, C. D. Westbrook, R. J. Hogan et al., 2010: A method for estimating the turbulent kinetic energy dissipation rate from a vertically pointing Doppler lidar, p.2291

. American and . Society-|, , 2018.

, from balloon-borne in situ measurements, J. Atmos. Oceanic Technol, vol.27, pp.1652-1664

A. C. Oude-nijhuis, C. M. Unal, O. A. Krasnov, H. W. Russchenberg, A. Yarovoy et al., Implementation of wind vector and turbulence intensity retrievals: Application to fast scanning X-band radar, Int. J. Microwave Wireless Technol, vol.8, pp.835-844, 2014.

C. Pereira, D. Vanhoenacker-janvier, and F. Barbaresco, Simulation of X-band radar for the assessment of eddy dissipation rate on a convective boundary layer, Proc. WakeNet-Europe Workshop, 1920.

S. B. Pope, Turbulent Flows. Cambridge University Press, vol.801, p.pp, 2000.
URL : https://hal.archives-ouvertes.fr/hal-00338511

F. M. Robasky and D. A. Clark, A wind forecast algorithm to support Wake Turbulence Mitigation for Departures (WTMD), 13th Conf. Aviation, Range and Aerospace Meteorology, vol.10, 2008.

K. Salonen, S. Niemelä, and C. Fortelius, Application of radar wind observations for low-level NWP wind forecast validation, J. Appl. Meteor. Climatol, vol.50, pp.1362-1371, 2011.

H. Siebert, K. Lehmann, and M. Wendisch, Observations of small-scale turbulence and energy dissipation rates in the cloudy boundary layer, J. Atmos. Sci, vol.63, pp.1451-1466, 2006.

J. Singhal, From SESAR to implementation: Completing the TBS picture, 2014.

K. Sreenivasan, On the universality of the Kolmogorov constant, Phys. Fluids, vol.7, pp.2778-2784, 1995.

S. A. Stoll, Microburst detection by the lowlevel wind shear alert system, Weather, vol.46, pp.334-347, 1991.

B. Strajnar, N. ?agar, and L. Berre, Impact of new aircraft observations Mode-S MRAR in a mesoscale NWP model, J. Geophys. Res. Atmos, vol.120, pp.3920-3938, 2015.

O. G. Sutton, Micrometeorology: A Study of Physical Processes in the Lowest Layers of the Earth's Atmosphere, vol.333, p.pp, 1953.

V. I. Tatarski, The Effects of Turbulent Atmosphere on Wave Propagation, vol.482, p.pp, 1971.

G. I. Taylor, The spectrum of turbulence, Proc. Roy. Soc. London, vol.164, pp.476-490, 1938.

L. P. Thobois, R. Krishnamurty, J. Cariou, A. Dolfibouteyre, and M. Valla, Wind and EDR measurements with scanning Doppler LIDARs for preparing future weather dependent separation concepts, Seventh AIAA Atmospheric and Space Environments Conf, 2015.

R. Wagner and M. Courtney, Scanning LIDAR verification study-DTU report, vol.81, p.pp, 2014.

A. Westerhellweg, B. Canadillas, A. Beeken, and T. Neumann, One year of lidar measurements at FINO1-Platform: Comparison and verification to met-mast data, Proc. 10th German Wind Energy Conf, 2010.

A. B. White, R. J. Lataitis, and R. S. Lawrence, Space and time filtering of remotely sensed velocity turbulence, J. Atmos. Oceanic Technol, vol.16, 1967.

J. Wieringa, Representativeness of wind observations at airports, Bull. Amer. Meteor. Soc, vol.61, pp.962-971, 1980.

D. M. Williams, G. W. Lohr, and A. C. Trujillo, Wake Turbulence Mitigation for Arrivals (WTMA), 2008.

. Int, Congress of the Aeronautical Sciences, Anchorage, AK, International Council of the Aeronautical Sciences, vol.10

R. Wilson, Turbulent diffusivity in the free atmosphere inferred from MST radar measurements: A review, Ann. Geophys, vol.22, pp.3869-3887, 2004.
URL : https://hal.archives-ouvertes.fr/hal-00329403

. Wmo, Technical regulations: Volume II-Meteorological service for international air navigation, 2010.

. Wmo-49, , vol.180

M. Wolfson and C. , Characteristics of thunderstorm-generated low altitude wind shear: A survey based on nationwide terminal Doppler weather radar testbed measurements, 29th IEEE Conf. Decision and Control, pp.682-688, 1990.

F. Yanovsky, H. Russchenberg, and C. Unal, Retrieval of information about turbulence in rain by using Doppler-polarimetric radar, IEEE Trans. Microwave Theory Tech, vol.53, pp.444-450, 2005.

X. Zhang, W. Diao, Y. Liu, J. Liu, X. Hou et al., Single-frequency polarized eye-safe all-fiber laser with peak power over kilowatt, Appl. Phys. B, vol.115, pp.123-127, 2014.