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Boundary-Layer Meteorology

, Volume 143, Issue 1, pp 77–95 | Cite as

Links Between Weather Phenomena and Characteristics of Refractivity Measured by Precipitation Radar

  • Lucas Besson
  • Chiraz Boudjabi
  • Olivier Caumont
  • Jacques Parent du Chatelet
Article

Abstract

Refractivity depends on meteorological parameters such as temperature and water vapour pressure and can be measured using a weather radar. A realistic atmospheric simulation from the Meso-NH numerical model is used in order to describe and establish the relation between refractivity and the dynamic and thermodynamic phenomena responsible for the development and propagation of convection. These investigations lead to discussion of the complementarity between the refractivity and the convective available potential energy. The relation observed between the refractivity signal and the meteorological parameters calls the refractivity measurement into question, since it is based on phase differentiation with time and space and can be degraded by phase aliasing problems. These aliasing problems increase with the radar frequency (perceptible in the S-band, serious in the C-band, and more serious in the X-band) and also with the integration range and sampling time. Thus, a statistical approach permits us to simulate the possibility of measuring the refractivity with operational radar during convective events. A typical case in the south-east region of France is selected to simulate measurements by radar (S-band, C-band, X-band) in convective systems, in order to evaluate the measurement feasibility, particularly in terms of phase ambiguity, related to temporal and spatial sampling, of a future implementation of the refractivity measurement over the French operational radar network. This numerical statistical approach is completed with a similar study using in-situ measurements performed at the Trappes station. The seasonal and diurnal dependencies of aliasing are investigated, leading to clarification of the impact of the turbulent fluxes on the refractivity measurement.

Keywords

Aliasing Meso-NH numerical model Refractivity Weather radar 

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References

  1. Bean BR, Dutton EJ (1968) Radio meteorology. National Bureau of Standards Monograph, 92. National Bureau of Standards, Washington, 435 ppGoogle Scholar
  2. Boudjabi C, Parent du Châtelet J (2009) Evaluation of phase ambiguity problem due to sampling time when measuring refractivity with precipitation radar. In: 34th International conference on radar meteorology, Williamsburg, VA, USA. American Meteorological SocietyGoogle Scholar
  3. Demoz B, Flamant C, Weckwerth T, Whiteman D, Evans K, Fabry F, Di Girolamo P, Miller D, Geerts B, Brown W, Schwemmer G, Gentry B, Felts W, Wang Z (2006) The dryline on 22 May 2002 during IHOP_2002: convective-scale measurements at the profiling site. Mon Weather Rev 134: 294–310CrossRefGoogle Scholar
  4. Ducrocq V, Ricard D, Lafore J-P, Orain F (2002) Storm-scale numerical rainfall prediction for five precipitating events over France: on the importance of the initial humidity field. Weather Forecast 17: 1236–1256. doi: 10.1175/1520-0434(2002)017<1236:SSNRPF>2.0.CO;2 CrossRefGoogle Scholar
  5. Duffourg F, Ducrocq V (2011) Origin of the moisture feeding the northwestern Mediterranean heavy precipitating systems. Nat Hazards Earth Syst Sci 11: 1163–1178. doi: 10.5194/nhess-11-1163-2011 CrossRefGoogle Scholar
  6. Fabry F (2004) Meteorological value of ground target measurements by radar. J Atmos Ocean Technol 21: 560–573CrossRefGoogle Scholar
  7. Fabry F (2006) The spatial variability of moisture in the boundary layer and its effect on convection initiation: project-long characterization. Mon Weather Rev 134: 79–91CrossRefGoogle Scholar
  8. Fabry F, Frush C, Zawadzki I, Kilambi A (1997) On the extraction of near-surface index of refraction using radar phase measurements from ground targets. J Atmos Ocean Technol 14: 978–987CrossRefGoogle Scholar
  9. Houze RA (2004) Mesoscale convective systems. Rev Geophys 42: RG4003. doi: 10.1029/2004RG000150 CrossRefGoogle Scholar
  10. Lafore J-P, Stein J, Asencio N, Bougeault P, Ducrocq V, Duron J, Fischer C, Hereil P, Mascart P, Pinty J-P, Redelsperger J-L, Richard E, Vila-Gueraude Arellano J (1998) The Meso-NH atmospheric simulation system. Part I: Adiabatic formulation and control simulations. Ann Geophys 16: 90–109CrossRefGoogle Scholar
  11. Moncrieff MW, Miller MJ (1976) The dynamics and simulation of tropical cumulonimbus and squall lines. Q J Roy Meteorol Soc 120: 373–394CrossRefGoogle Scholar
  12. Nuissier O, Ducrocq V, Ricard D, Lebeaupin C, Anquetin S (2008) A numerical study of three catastrophic precipitating events over southern France. I: Numerical framework and synoptic ingredients. Q J Roy Meteorol Soc 134: 111–130. doi: 10.1002/qj.200 CrossRefGoogle Scholar
  13. Parent du Châtelet J, Boudjabi C (2008) A new formulation for a signal reflected from a target using a magnetron radar. Consequences for Doppler and refractivity measurements. In: 5th European conference on radar in meteorology and hydrology (ERAD), Helsinki, FinlandGoogle Scholar
  14. Pradier S, Chong M, Roux F (2002) Radar observations and numerical modeling of a precipitating line during MAP IOP 5. Mon Weather Rev 11: 2533–2553CrossRefGoogle Scholar
  15. Seity Y, Brousseau P, Malardel S, Hello G, Bénard P, Bouttier F, Lac C, Masson V (2011) The AROME-France convective scale operational model. Mon Weather Rev 139: 976–991. doi: 10.1175/2010MWR3425.1 CrossRefGoogle Scholar
  16. Simpson J (1980) Downdrafts as linkages in dynamic cumulus seeding effects. J Appl Meteorol 19: 477–487CrossRefGoogle Scholar
  17. Smith EK Jr, Weintraub S (1953) The constants in the equation for atmospheric refractive index at radio frequencies. Proc IRE 41: 1035–1037CrossRefGoogle Scholar
  18. Sun J (2005) Convective-scale assimilation of radar data: progress and challenges. Q J Roy Meteorol Soc 131: 3439–3463CrossRefGoogle Scholar
  19. Taylor GI (1938) The spectrum of turbulence. Proc Roy Soc Lond A 164: 476–490. doi: 10.1098/rspa.1938.0032 CrossRefGoogle Scholar
  20. Tompkins AM (2001) Organization of tropical convection in low vertical wind shears: the role of water vapor. J Atmos Sci 58: 529–545CrossRefGoogle Scholar
  21. Vié B, Nuissier O, Ducrocq V (2011) Cloud-resolving ensemble simulations of Mediterranean heavy precipitating events: uncertainty on initial conditions and lateral boundary conditions. Mon Weather Rev 139: 403–423. doi: 10.1175/2010MWR3487.1 CrossRefGoogle Scholar
  22. Wakimoto RM, Murphey HV (2010) Frontal and radar refractivity analyses of the dryline on 11 June 2002 during IHOP. Mon Weather Rev 138: 228–241CrossRefGoogle Scholar
  23. Weckwerth TM, Pettet CR, Fabry F, Park S, Lemone MA, Wilson JW (2005) Radar refractivity retrieval: validation and application to short-term forecasting. J Appl Meteorol 44: 285–300CrossRefGoogle Scholar
  24. Zipser EJ (1977) Mesoscale and convective-scale downdraughts as distinct components of squall-line circulation. Mon Weather Rev 105: 1568–1589CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media B.V. 2011

Authors and Affiliations

  • Lucas Besson
    • 1
  • Chiraz Boudjabi
    • 1
  • Olivier Caumont
    • 2
  • Jacques Parent du Chatelet
    • 1
  1. 1.Météo France, DSO/CMIGuyancourtFrance
  2. 2.Météo France, CNRM/GMME/MICADOToulouse Cedex 01France

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