Multifrequency radar observations collected in southern France during HyMeX-SOP1

Bulletin of the American Meteorological Society

Volumn 96, Issue 2, 2015, Pages 267-282

  Bousquet, Olivier ^a   Berne, A ^b   Delanoe, J ^c   Dufournet, Y ^d   Gourley, J J ^e   Van Baelen, J ^f   Augros, C ^g   Besson, L ^c   Boudevillain, B ^h   Caumont, O ^g   Defer, E ⁱ   Grazioli, J ^b   Jorgensen, D J ^e   Kirstetter, P E ^e   Ribaud, J F ^g   Beck, J ^g   Delrieu, G ^h   Ducrocq, V ^g   Scipion, D ^j   Schwarzenboeck, A ^f   Zwiebel, J ^f   more..

^a Laboratoire de l'Atmosphere et des Cyclones   (France)

^b EPFL   (Switzerland)

^c SERVICE D AÉRONOMIE DU CNRS   (France)

^d DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

^e NATIONAL SEVERE STORMS LABORATORY   (United States)

^f UNIVERSITÉ BLAISE PASCAL   (France)

^g CNRS   (France)

^h LABORATOIRE DE GLACIOLOGIE ET GÉOPHYSIQUE DE L ENVIRONNEMENT   (France)

ⁱ OBSERVATOIRE DE PARIS   (France)

^j INSTITUTO GEOFÍSICO DEL PERÚ   (Peru)

more..

Author keywords

[No Author keywords available]

Indexed keywords

PRECIPITATION (METEOROLOGY); RADAR;

HIGH-QUALITY OBSERVATIONS; INNOVATIVE RESEARCH; MULTIFREQUENCY RADAR; OPERATIONAL ACTIVITY; OROGRAPHIC PRECIPITATION; POLARIMETRIC RADAR MEASUREMENTS; PRECIPITATION SYSTEMS; PRELIMINARY ANALYSIS;

RADAR MEASUREMENT;

EID: 84929465362     PISSN: 00030007     EISSN: 15200477     Source Type: Journal    
DOI: 10.1175/BAMS-D-13-00076.1     Document Type: Article

References (47)

1. Al-Sakka, H., A.-A. Boumahmoud, B. Fradon, S. Frasier, and P. Tabary, 2013: A new fuzzy logic hydrometeor classification scheme applied to the French X-, C-, and S-band polarimetric radars. J. Appl. Meteor. Climatol., 52, 2328-2344, doi:10.1175/JAMC-D-12-0236.1.
2. Barthe, C., M. Chong, J.-P. Pinty, C. Bovalo, and J. Escobar, 2012: CELLS v1.0: Updated and parallelized version of an electrical scheme to simulate multiple electrified clouds and flashes over large domains. Geosci. Model Dev., 5, 167-184, doi:10.5194/gmd-5-167-2012.
3. Beck, J., and O. Bousquet, 2013: Using gap-filling radars in mountainous regions to complement a national radar network: Improvements in multiple-Doppler wind syntheses. J. Appl. Meteor. Climatol., 52, 1836-1850, doi:10.1175/JAMC-D-12-0187.1.
4. -, M. Nuret, and O. Bousquet, 2014: Model wind field forecast verification using multiple-Doppler syntheses from a national radar network. Wea. Forecasting, 29, 331-348, doi:10.1175/WAF-D-13-00068.1.
5. Besson, L., and J. Parent du Châtelet, 2013: Solutions for improving the radar refractivity measurement by taking operational constraints into account. J. Atmos. Oceanic Technol., 30, 1730-1742, doi:10.1175/JTECH-D-12-00167.1.
6. -, C. Boudjabi, O. Caumont, and J. Parent du Châtelet, 2012: Links between weather phenomena and characteristics of refractivity measured by Precipitation Radar. Bound-Layer Meteor., 143, 77-95, doi:10.1007/s10546-011-9656-7.
7. Bougeault, P., and Coauthors, 2001: The MAP special observing period. Bull. Amer. Meteor. Soc., 82, 433-462, doi:10.1175/1520-0477(2001)0822.3.CO;2.
8. Bousquet, O., and P. Tabary, 2014: Development of a nationwide real-time 3-D wind and reflectivity radar composite in France. Quart. J. Roy. Meteor. Soc., 140, 611-625, doi:10.1002/qj.2163.
9. -, -, and J. Parent du Châtelet, 2007: On the value of operationally synthesized multiple-Doppler wind fields. Geophys. Res. Lett., 34, L22813, doi:10.1029/2007GL030464.
10. -, T. Montmerle, and P. Tabary, 2008a: Using operationally synthesized multiple-Doppler winds for high resolution NWP model horizontal wind verification. Geophys. Res. Lett., 35, L10803, doi:10.1029/2008GL033975.
11. -, P. Tabary, and J. Parent du Châtelet, 2008b: Operational multiple-Doppler wind retrieval inferred from long range radar velocity measurements. J. Appl. Meteor. Climatol., 47, 2929-2945, doi:10.1175/2008JAMC1878.1.
12. Caumont, O., V. Ducrocq, G. Delrieu, M. Gosset, J.-P. Pinty, J. Parent du Châtelet, and G. Scialom, 2006: A radar simulator for high-resolution nonhydrostatic models. J. Atmos. Oceanic Technol., 23, 1049-1067, doi:10.1175/JTECH1905.1.
13. -, A. Foray, L. Besson, and J. Parent du Châtelet, 2013: Comparisons between observed and simulated weather radar refractivity change. Bound.-Layer Meteor., 148, 379-397, doi:10.1007/s10546-013-9820-3.
14. Davis, C., and Coauthors, 2004: The Bow Echo and MCV Experiment: Observations and opportunities. Bull. Amer. Meteor. Soc., 85, 1075-1093, doi:10.1175/BAMS-85-8-1075.
15. Deierling, W., W. A. Petersen, J. Latham, S. Ellis, and H. J. Christian, 2008: The relationship between lightning activity and ice fluxes in thunderstorms. J. Geophys. Res., 113, D15210, doi:10.1029/2007JD009700.
16. Delanoë, J., A. Protat, D. Bouniol, A. Heymsfield, A. Bansemer, and P. Brown, 2007: The characterization of ice cloud properties from Doppler radar measurements. J. Appl. Meteor. Climatol., 46, 1682-1698, doi:10.1175/JAM2543.1.
17. Delrieu, G., 2003: L'Observatoire Hydro-météorologique Méditerranéen Cévennes-Vivarais (The Cévennes-Vivarais Mediterranean Hydrometeorological Observatory). Houille Blanche, 6, 83-88, doi:10.1051/lhb/2003116.
18. -, and Coauthors, 2005: The catastrophic flash-flood event of 8-9 September 2002 in the Gard Region, France: A first case study for the Cévennes-Vivarais Mediterranean Hydrometeorological Observatory. J. Hydrometeor., 6, 34-52, doi:10.1175/JHM-400.1.
19. Dolan, B., S. A. Rutledge, S. Lim, V. Chandrasekar, and M. Thurai, 2013: A robust C-band hydrometeor identification algorithm and application to a long-term polarimetric radar dataset. J. Appl. Meteor. Climatol., 52, 2162-2186, doi:10.1175/JAMC-D-12-0275.1.
20. Drobinski, P., and Coauthors, 2014: HyMeX: A 10-year multidisciplinary program on the Mediterranean water cycle. Bull. Amer. Meteor. Soc., 95, 1063-1082, doi:10.1175/BAMS-D-12-00242.1.
21. Ducrocq, V., and Coauthors, 2014: HyMeX-SOP1: The field campaign dedicated to heavy precipitation and flash flooding in the northwestern Mediterranean. Bull. Amer. Meteor. Soc., 95, 1083-1100, doi:10.1175/BAMS-D-12-00244.1.
22. Dufournet, Y., and H. W. J. Russchenberg, 2011: Towards the improvement of cloud microphysical retrievals using simultaneous Doppler and polarimetric radar measurements. Atmos. Meas. Tech., 4, 2163-2178, doi:10.5194/amt-4-2163-2011.
23. Fabry, F., 2004: Meteorological value of ground target measurements by radar. J. Atmos. Oceanic Technol., 21, 560-573, doi:10.1175/1520-0426(2004)0212.0.CO;2.
24. -, C. Frush, I. Zawadzki, and A. Kilambi, 1997: On the extraction of near-surface index of refraction using radar phase measurements from ground targets. J. Atmos. Oceanic Technol., 14, 978-987, doi:10.1175/1520-0426(1997)0142.0.CO;2.
25. Fujita, T. T., 1978: Manual of downburst identification for project NIMROD. Satellite and Mesometeorology Research Paper 156, Dept. of Geophysical Sciences, University of Chicago, 104 pp.
26. Hubbert, J. C., S. M. Ellis, M. Dixon, and G. Meymaris, 2010: Modeling, error analysis, and evaluation of dual-polarization variables obtained from simultaneous horizontal and vertical polarization transmit radar. Part II: Experimental data. J. Atmos. Oceanic Technol., 27, 1599-1607, doi:10.1175/2010JTECHA1337.1.
27. Jung, Y., G. Zhang, and M. Xue, 2008: Assimilation of simulated polarimetric radar data for a convective storm using the ensemble Kalman filter. Part I: Observation operators for reflectivity and polarimetric variables. Mon. Wea. Rev., 136, 2228-2245, doi:10.1175/2007MWR2083.1.
28. Kirstetter, P.-E., H. Andrieu, B. Boudevillain, and G. Delrieu, 2013: A physically based identification of vertical profiles of reflectivity from volume scan radar data. J. Appl. Meteor. Climatol., 52, 1645-1663, doi:10.1175/JAMC-D-12-0228.1.
29. Kruger, A., and W. Krajewski, 2002: Two-dimensional video disdrometer: A description. J. Atmos. Oceanic Technol., 19, 602-617, doi:10.1175/1520-0426(2002)0192.0.CO;2.
30. Lafore, J.-P., and Coauthors, 1998: The Meso-NH Atmospheric Simulation System. Part I: Adiabatic formulation and control simulations. Ann. Geophys., 16, 90-109, doi:10.1007/s00585-997-0090-6.
31. Löffler-Mang, M., and J. Joss, 2000: An optical disdrometer for measuring size and velocity of hydrometeors. J. Atmos. Oceanic Technol., 17, 130-139, doi:10.1175/1520-0426(2000)0172.0.CO;2.
32. -, M. Kunz, and W. Schmid, 1999: On the performance of a low-cost K-band Doppler radar for quantitative rain measurements. J. Atmos. Oceanic Technol., 16, 379-387, doi:10.1175/1520-0426(1999)0162.0.CO;2.
33. Marzano F. S., D. Scaranari, M. Celano, P. P. Alberoni, G. Vulpiani, and M. Montopoli, 2006: Hydrometeor classification from dual-polarized weather radar: Extending fuzzy logic from S-band to C-band data. Adv. Geosci., 7, 109-114, doi:10.5194/adgeo-7-109-2006.
34. Medina, S., B. F. Smull, R. A. Houze Jr., and M. Steiner, 2005: Cross-barrier flow during orographic precipitation events: Results from MAP and IMPROVE. J. Atmos. Sci., 62, 3580-3598, doi:10.1175/JAS3554.1.
35. Parent du Châtelet, J., C. Boudjabi, L. Besson, and O. Caumont, 2012: Errors caused by long-term drifts of magnetron frequencies for refractivity measurement with a radar: Theoretical formulation and initial validation. J. Atmos. Oceanic Technol., 29, 1428-1434, doi:10.1175/JTECH-D-12-00070.1.
36. Park, H. S., A. V. Ryzhkov, D. S. Zrnić, and K. E. Kim, 2009: The hydrometeor classification algorithm for the polarimetric WSR-88D: Description and application to an MCS. Wea. Forecasting, 24, 730-748, doi:10.1175/2008WAF2222205.1.
37. Pfeifer, M., G. Craig, M. Hagen and C. Keil, 2008: A polarimetric radar forward operator for model evaluation. J. Appl. Meteor. Climatol., 47, 3202-3220, doi:10.1175/2008JAMC1793.1.
38. Pinty, J.-P., C. Barthe, E. Defer, E. Richard, and M. Chong, 2013: Explicit simulation of electrified clouds: From idealized to real case studies. Atmos. Res., 123, 82-92, doi:10.1016/j.atmosres.2012.04.008.
39. Protat, A., and Coauthors, 2009: Assessment of Cloudsat reflectivity measurements and ice cloud properties using ground-based and airborne cloud radar observations. J. Atmos. Oceanic Technol., 26, 1717-1741, doi:10.1175/2009JTECHA1246.1.
40. Rison, W., R. J. Thomas, P. R. Krehbiel, T. Hamlin, and J. Harlin, 1999: A GPS-based three-dimensional lightning mapping system: Initial observations in central New Mexico. Geophys. Res. Lett., 26, 3573-3576, doi:10.1029/1999GL010856.
41. Rotunno, R., and R. A. Houze, 2007: Lessons on orographic precipitation from the Mesoscale Alpine Programme. Quart. J. Roy. Meteor. Soc., 133, 811-830, doi:10.1002/qj.67.
42. Ryzhkov, A. V., and D. S. Zrnić, 2007: Depolarization in ice crystals and its effect on radar polarimetric measurements. J. Atmos. Oceanic Technol., 24, 1256-1267, doi:10.1175/JTECH2034.1.
43. -, M. Pinsky, M. Pokrovsky, and A. Khain, 2011: Polarimetric radar observation operator for a cloud model with spectral microphysics. J. App. Meteor. Climatol., 50, 873-894, doi:10.1175/2010JAMC2363.1.
44. Schultz, D. M., and Coauthors, 2002: Understanding Utah winter storms: The Intermountain Precipitation Experiment. Bull. Amer. Meteor. Soc., 83, 189-210, doi:10.1175/1520-0477(2002)0832.3.CO;2.
45. Stoelinga, M. T., and Coauthors, 2003: Improvement of Microphysical Parameterization through Observational Verification Experiment. Bull. Amer. Meteor. Soc., 84, 1807-1826, doi:10.1175/BAMS-84-12-1807.
46. Unal, C., 2009: Spectral polarimetric radar clutter suppression to enhance atmospheric echoes. J. Atmos. Oceanic Technol., 26, 1781-1797, doi:10.1175/2009JTECHA1170.1.
47. -, Y. Dufournet, T. Otto, and H. Russchenberg, 2012: The new real-time measurement capabilities of the profiling TARA radar. Preprints, Seventh European Conf. on Radar in Meteorology and Hydrology (ERAD), Toulouse, France, Météo-France, 199 SP. [Available online at www.meteo.fr/cic/meetings/2012ERAD/extended-abs/SP-388-ext-abs.pdf.]