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References

Published online by Cambridge University Press:  05 June 2015

Frédéric Fabry
Affiliation:
McGill University, Montréal
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Radar Meteorology
Principles and Practice
, pp. 244 - 253
Publisher: Cambridge University Press
Print publication year: 2015

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References

Alexander, C. R., Weygandt, S. S., Smirnova, T. G., et al., 2010: High Resolution Rapid Refresh (HRRR): Recent enhancements and evaluation during the 2010 convective season. Preprints, 25th Conference on Severe Local Storms, Denver, CO, October 11–14, 2010, American Meteorological Society, 9.2.
American Meteorological Society, cited 2014: Baroclinic instability. Glossary of meteorology. [Available online at: http://glossary.ametsoc.org/wiki/Baroclinic_instability].
Anderson, J. L., Hoar, T., Raeder, K., et al., 2009: The Data Assimilation Research Testbed: A community facility. Bulletin of the American Meteorological Society, 90, 1283–1296.CrossRefGoogle Scholar
Angevine, W. M., Grimsdell, A. W., Hartten, L. M., and Delany, A. C., 1998: The Flatland Boundary Layer Experiments. Bulletin of the American Meteorological Society, 79, 419–431.2.0.CO;2>CrossRefGoogle Scholar
Atlas, D., 1955: The origin of “stalactites” in precipitation echoes. Proceedings of the Fifth Weather Radar Conference, U.S. Signal Corps Engineering Laboratory, Fort Monmouth, NJ, September 12–15, 1955, American Meteorological Society, 321–328.
Atlas, D. (ed.), 1990: Radar in Meteorology. Boston, MA, American Meteorological Society, 806 pp.CrossRefGoogle Scholar
Atlas, D., and Ulbrich, C. W., 1977: Path- and area-integrated rainfall measurement by microwave attenuation in the 1–3cm band. Journal of Applied Meteorology, 16, 1322–1331.2.0.CO;2>CrossRefGoogle Scholar
Bally, J., 2004: The Thunderstorm Interactive Forecast System: Turning automated thunderstorm tracks into severe weather warnings. Weather Forecasting, 19, 64–72.2.0.CO;2>CrossRefGoogle Scholar
Bannister, R. N., 2008: A review of forecast error covariance statistics in atmospheric variational data assimilation. II: Modelling the forecast error covariance statistics. Quarterly Journal of the Royal Meteorological Society, 134, 1971–1996.Google Scholar
Bean, B. R., and Dutton, E. J., 1966: Radio Meteorology. National Bureau of Standards Monograph #92, U.S. Government Printing Office, 435 pp.Google Scholar
Bellon, A., and Austin, G. L., 1978: The evaluation of two years of a real-time operation of a short-term precipitation forecasting procedure (SHARP). Journal of Applied Meteorology, 17, 1778–1787.2.0.CO;2>CrossRefGoogle Scholar
Bellon, A., and Fabry, F., 2014: Real-time radar reflectivity calibration from differential phase measurements. Journal of Atmospheric and Oceanic Technology, 31, 1089–1097.CrossRefGoogle Scholar
Berenguer, M., and Zawadzki, I., 2008: A study of the error covariance matrix of radar rainfall estimates in stratiform rain. Weather and Forecasting, 23, 1085–1101.CrossRefGoogle Scholar
Berenguer, M., Sempere-Torres, D., and Pegram, G. G. S., 2011: SBMcast – An ensemble nowcasting technique to assess the uncertainty in rainfall forecasts by Lagrangian extrapolation.Journal of Hydrology, 404, 226–240.CrossRefGoogle Scholar
Berne, A., and Krajewski, W. F., 2013: Radar for hydrology: Unfulfilled promise or unrecognized potential?Advances in Water Resources, 51, 357–366.CrossRefGoogle Scholar
Bowler, N. E., Pierce, C. E., and Seed, A. W., 2004: Development of a precipitation nowcasting algorithm based upon optical flow techniques. Journal of Hydrology, 288, 74–91.CrossRefGoogle Scholar
Brandes, E. A., and Ikeda, K., 2004: Freezing-level estimation with polarimetric radar. Journal of Applied Meteorology, 43, 1541–1553.CrossRefGoogle Scholar
Bringi, V. N., and Chandrasekar, V., 2001: Polarimetric Doppler Weather Radar. Cambridge, Cambridge University Press, 636 pp.CrossRefGoogle Scholar
Brown, R. A., and Wood, V. T., 2006: A Guide for Interpreting Doppler Velocity Patterns: Northern Hemisphere Edition. Published by the National Severe Storms Laboratory. [Available at: www.nssl.noaa.gov/publications/dopplerguide/Doppler%20Guide%202nd%20Ed.pdf].
Chandrasekar, V., and Lim, S., 2008: Retrieval of reflectivity in a networked radar environment. Journal of Atmospheric and Oceanic Technology, 25, 1755–1767.CrossRefGoogle Scholar
Chandrasekar, V., Meneghini, R., and Zawadzki, I., 2003: Global and local precipitation measurements by radar. In Radar and Atmospheric Science: A Collection of Essays in Honor of David Atlas, Wakimoto, R. M. and Srivastava, R. C. (eds.). American Meteorological Society Monograph #52, 215–236.Google Scholar
Chilson, P. B., Frick, W. F., Kelly, J. F., et al., 2012: Partly cloudy with a chance of migration – Weather, radars, and aeroecology. Bulletin of the American Meteorological Society, 93, 669–686.CrossRefGoogle Scholar
Clark, R. A., and Greene, D. R., 1972: Vertically integrated liquid water – A new analysis tool. Monthly Weather Review, 100, 548–552.Google Scholar
Cohn, S. A., Brown, W. O. J., Martin, C. L., et al., 2001: Clear air boundary layer spaced antenna wind measurement with the Multiple Antenna Profiler (MAPR). Annals of Geophysics, 19, 845–854.Google Scholar
de Elía, R., and Zawadzki, I., 2000: Sidelobe contamination in bistatic radars. Journal of Atmospheric and Oceanic Technology, 17, 1313–1329.2.0.CO;2>CrossRefGoogle Scholar
Delrieu, G., Caoudal, S., and Creutin, J. D., 1997: Feasibility of using mountain return for the correction of ground-based X-band weather radar data. Journal of Atmospheric and Oceanic Technology, 14, 367–385.2.0.CO;2>CrossRefGoogle Scholar
Delrieu, G., Wijbrans, A., Boudevillain, B., et al., 2014: Geostatistical radar–raingauge merging: A novel method for the quantification of rain estimation accuracy. Advances in Water Resources, 71, 110–124.CrossRefGoogle Scholar
Dixon, M., and Weiner, G., 1993: TITAN, Thunderstorm Identification, Tracking, Analysis and Nowcasting – A radar-based methodology. Journal of Atmospheric and Oceanic Technology, 10, 785–797.2.0.CO;2>CrossRefGoogle Scholar
Donaldson, N., 2012: Interaction between beam blockage and vertical reflectivity gradients. Proceedings of the Seventh European Conference on Radar in Meteorology and Hydrology, Toulouse, France, June 24–29, 2012, Paper 8A.1, 5 pp. [Available at: http://www.meteo.fr/cic/meetings/2012/ERAD/extended_abs/DQ_080_ext_abs.pdf].
Ellis, S. M., and Vivekanandan, J., 2010: Water vapor estimates using simultaneous dual-wavelength radar observations. Radio Science, 45, RS5002, doi:10.1029/2009RS004280.CrossRefGoogle Scholar
Fabry, F., 1993: Wind profile estimation by conventional radars. Journal of Applied Meteorology, 32, 40–49.2.0.CO;2>CrossRefGoogle Scholar
Fabry, F., 2006: The spatial structure of moisture near the surface: Project-long characterization. Monthly Weather Review, 134, 79–91.Google Scholar
Fabry, F., and Keeler, R. J., 2003: Innovative signal utilization and processing. In Radar and Atmospheric Science: A Collection of Essays in Honor of David Atlas, Wakimoto, R. M. and Srivastava, R. C. (eds.). American Meteorological Society Monograph #52, 199–214.Google Scholar
Fabry, F., and Seed, A., 2009: Quantifying and predicting the accuracy of radar-based quantitative precipitation forecasts. Advances in Water Resources, 32, 1043–1049.CrossRefGoogle Scholar
Fabry, F., and Zawadzki, I., 1995: Long-term radar observations of the melting layer of precipitation and their interpretation. Journal of the Atmospheric Sciences, 52, 838–851.2.0.CO;2>CrossRefGoogle Scholar
Fabry, F., and Zawadzki, I., 2001: New observational technologies: Scientific and societal impacts. In Meteorology at the Millennium, Pearce, R. B. (ed.). London, UK, Academic Press, 72–82.Google Scholar
Fabry, F., Austin, G. L., and Tees, D., 1992: The accuracy of rainfall estimates by radar as a function of range. Quarterly Journal of the Royal Meteorological Society, 118, 435–453.CrossRefGoogle Scholar
Fabry, F., Zawadzki, I., and Cohn, S., 1993: The influence of stratiform precipitation on shallow convective rain: A case study. Monthly Weather Review, 121, 3312–3325.2.0.CO;2>CrossRefGoogle Scholar
Fabry, F., Bellon, A., Duncan, M. R., and Austin, G. L., 1994: High resolution rainfall measurement by radar for very small basins: The sampling problem reexamined. Journal of Hydrology, 161, 415–428.CrossRefGoogle Scholar
Fabry, F., Turner, B. J., and Cohn, S. A., 1995: The University of Wyoming King Air educational initiative at McGill. Bulletin of the American Meteorological Society, 76, 1806–1811.CrossRefGoogle Scholar
Fabry, F., Frush, C., Zawadzki, I., and Kilambi, A., 1997: On the extraction of near-surface index of refraction using radar phase measurements from ground targets. Journal of Atmospheric and Oceanic Technology, 14, 978–987.2.0.CO;2>CrossRefGoogle Scholar
Fleming, J. R. (ed.), 1996: Historical Essays on Meteorology 1919–1995. Boston, MA, American Meteorological Society, 618 pp.CrossRefGoogle Scholar
Frisch, A. S., Fairall, C. W., and Snyder, J. B., 1995: Measurement of stratus cloud and drizzle parameters in ASTEX with a K-α-band Doppler radar and a microwave radiometer. Journal of the Atmospheric Sciences, 52, 2788–2799.2.0.CO;2>CrossRefGoogle Scholar
Frush, C., Doviak, R. J., Sachidananda, M., and Zrnić, D. S., 2002: Application of the SZ phase code to mitigate range–velocity ambiguities in weather radars. Journal of Atmospheric and Oceanic Technology, 19, 413–430.2.0.CO;2>CrossRefGoogle Scholar
Fulton, R. A., Breidenbach, J. P., Seo, D.-J., Miller, D. A., and O'Bannon, T., 1998: The WSR-88D rainfall algorithm. Weather and Forecasting, 13, 377–395.2.0.CO;2>CrossRefGoogle Scholar
Gao, J., Xue, M., Brewster, K., and Droegemeier, K. K., 2004: A three-dimensional variational data analysis method with recursive filter for Doppler radars. Journal of Atmospheric and Oceanic Technology, 21, 457–469.2.0.CO;2>CrossRefGoogle Scholar
Ge, G., Gao, J., Brewster, K., and Xue, M., 2010: Impacts of beam broadening and Earth curvature on storm-scale 3D variational data assimilation of radial velocity with two Doppler radars. Journal of Atmospheric and Oceanic Technology, 27, 617–636.CrossRefGoogle Scholar
Geerts, B., and Miao, Q., 2005: The use of millimeter Doppler radar echoes to estimate vertical air velocities in the fair-weather convective boundary layer. Journal of Atmospheric and Oceanic Technology, 22, 225–246.CrossRefGoogle Scholar
Germann, U., and Zawadzki, I., 2002: Scale-dependence of the predictability of precipitation from continental radar images. Part I: Description of the methodology. Monthly Weather Review, 130, 2859–2873.2.0.CO;2>CrossRefGoogle Scholar
Germann, U., Galli, G., Boscacci, M., and Bolliger, M., 2006: Radar precipitation measurement in a mountainous region. Quarterly Journal of the Royal Meteorological Society, 132, 1669–1692.CrossRefGoogle Scholar
Giangrande, S. E., Luke, E. P., and Kollias, P., 2012: Characterization of vertical velocity and drop size distribution parameters in widespread precipitation at ARM facilities. Journal of Applied Meteorology and Climatology, 51, 380–391.CrossRefGoogle Scholar
Goddard, J. W. F., 1994: Technique for calibration of meteorological radars using differential phase.Electronics Letters, 30, 166–167.CrossRefGoogle Scholar
Gunn, R., and Kinzer, G. D., 1949: The terminal velocity of fall for water droplets in stagnant air. Journal of Meteorology, 6, 243–248.2.0.CO;2>CrossRefGoogle Scholar
Habib, E., and Krajewski, W. F., 2002: Uncertainty analysis of the TRMM ground-validation radar-rainfall products: Application to the TEFLUN-B field campaign. Journal of Applied Meteorology, 41, 558–572.2.0.CO;2>CrossRefGoogle Scholar
Harrison, D. L., Norman, K., Pierce, C., and Gaussiat, N., 2012: Radar products for hydrological applications in the UK. Proceedings of the ICE – Water Management, 165, 89–103.Google Scholar
Hitschfeld, W., and Bordan, J., 1954: Errors inherent in the radar measurement of rainfall at attenuating wavelengths. Journal of Meteorology, 11, 58–67.2.0.CO;2>CrossRefGoogle Scholar
Hocking, W. K., 2011: A review of Mesosphere–Stratosphere–Troposphere (MST) radar developments and studies, circa 1997–2008. Journal of Atmospheric and Solar-Terrestrial Physics, 73, 848–882.CrossRefGoogle Scholar
Hogan, R. J., Jakob, C., and Illingworth, A. J., 2001: Comparison of ECMWF winter-season cloud fraction with radar-derived values. Journal of Applied Meteorology, 40, 513–525.2.0.CO;2>CrossRefGoogle Scholar
Houze, R. A., and Hobbs, P. V., 1982: Organization and structure of precipitating cloud systems. Advances in Geophysics, 24, 225–315.Google Scholar
Huuskonen, A., Saltikoff, E., and Holleman, I., 2014: The operational weather radar network in Europe. Bulletin of the American Meteorological Society, 95, 897–907.CrossRefGoogle Scholar
Illingworth, A. J., Hogan, R. J., O'Connor, E. J., et al., 2007: Cloudnet. Bulletin of the American Meteorological Society, 88, 883–898.CrossRefGoogle Scholar
Joe, P., Dance, S., Lakshmanan, V., et al., 2012: Automated processing of Doppler radar data for severe weather warnings. In Doppler Radar Observations – Weather Radar, Wind Profiler, Ionospheric Radar, and Other Advanced Applications, Bech, J. and Chau, J. L. (eds.). Rijeka, Croatia, InTech, 33–74.Google Scholar
Johnson, J. T., MacKeen, P. L., Witt, A., et al., 1998: The storm cell identification and tracking algorithm: An enhanced WSR-88D algorithm. Weather and Forecasting, 13, 263–276.2.0.CO;2>CrossRefGoogle Scholar
Jorgensen, D. P., and Weckwerth, T. M., 2003: Forcing and organization of convective systems. In Radar and Atmospheric Science: A Collection of Essays in Honor of David Atlas, Wakimoto, R. M. and Srivastava, R. C. (eds.). Boston, MA, American Meteorological Society, 75–103.Google Scholar
Jorgensen, D. P., Matejka, T., and DuGranrut, J. D., 1996: Multi-beam techniques for deriving wind fields from airborne Doppler radars. Meteorology and Atmospheric Physics, 59, 83–104.CrossRefGoogle Scholar
Joss, J., and Waldvogel, A., 1970: Raindrop size distributions and Doppler velocities. Preprints, 14th Radar Meteorology Conference, Tucson, AZ, American Meteorological Society, 153–156.Google Scholar
Joss, J., and Waldvogel, A., 1990: Precipitation measurement and hydrology. In Radar in Meteorology, Atlas, D. (ed.). Boston, MA, American Meteorological Society, 577–606.Google Scholar
Kay, J. E., and Gettelman, A., 2009: Cloud influence on and response to seasonal Arctic sea ice loss. Journal of Geophysical Research, 114, D18204, doi:10.1029/2009JD011773.CrossRefGoogle Scholar
Knight, C. A., and Miller, L. J., 1998: Early radar echoes from small, warm cumulus: Bragg and hydrometeor scattering. Journal of the Atmospheric Sciences, 55, 2974–2992.2.0.CO;2>CrossRefGoogle Scholar
Kollias, P., Albrecht, B. A., Lhermitte, R., and Savtchenko, A., 2001: Radar observations of updrafts, downdrafts, and turbulence in fair-weather cumuli. Journal of the Atmospheric Sciences, 58, 1750–1766.2.0.CO;2>CrossRefGoogle Scholar
Kollias, P., Clothiaux, E. E., Miller, M. A., et al., 2007: Millimeter-wavelength radars: new frontier in atmospheric cloud and precipitation research. Bulletin of the American Meteorological Society, 88, 1608–1624.CrossRefGoogle Scholar
Kucera, P. A., Krajewski, W. F., and Young, C. B., 2004: Radar beam occultation studies using GIS and DEM technology: An example study. Journal of Atmospheric and Oceanic Technology, 21, 995–1006.2.0.CO;2>CrossRefGoogle Scholar
Kumjian, M. R., 2013a: Principles and applications of dual-polarization weather radar. Part II: Warm- and cold-season applications. Journal of Operational Meteorology, 1, 243–264.Google Scholar
Kumjian, M. R., 2013b: Principles and applications of dual-polarization weather radar. Part III: Artifacts. Journal of Operational Meteorology, 1, 265–274.Google Scholar
Kumjian, M. R., Ryzhkov, A. V., Reeves, H. D., and Schuur, T. J., 2013: A dual-polarization radar signature of hydrometeor refreezing in winter storms. Journal of Applied Meteorology and Climatology, 52, 2549–2566.CrossRefGoogle Scholar
Lauri, T., Koistinen, J., and Moisseev, D., 2012: Advection-based adjustment of radar measurements. Monthly Weather Review, 140, 1014–1022.CrossRefGoogle Scholar
Lazo, J. K., Morss, R. E., and Demuth, J. L., 2009: 300 billion served: Sources, perceptions, uses, and values of weather forecasts. Bulletin of the American Meteorological Society, 90, 785–798.CrossRefGoogle Scholar
Lee, G. W., and Zawadzki, I., 2005a: Variability of drop size distributions: Time-scale dependence of the variability and its effects on rain estimation. Journal of Applied Meteorology, 44, 241–255.CrossRefGoogle Scholar
Lee, G. W., and Zawadzki, I., 2005b: Variability of drop size distributions: Noise and noise filtering in disdrometric data. Journal of Applied Meteorology, 44, 634–652.CrossRefGoogle Scholar
Lee, G. W., and Zawadzki, I. 2006: Radar calibration by gage, disdrometer, and polarimetry: Theoretical limit caused by the variability of drop size distribution and application to fast scanning operational radar data. Journal of Hydrology, 328, 83–97.CrossRefGoogle Scholar
Lee, W.-C., Marks, F. D., and Walther, C., 2003: Airborne Doppler radar data analysis workshop. Bulletin of the American Meteorological Society, 84, 1063–1075.CrossRefGoogle Scholar
Lemon, L. R., 1980: Severe thunderstorm radar identification techniques and warning criteria. NOAA Technical Memorandum NWS NSSFC-3, NOAA National Severe Storms Forecast Center, Kansas City, MO.Google Scholar
Lewis, J. M., Lakshmivarahan, S., and Dhall, S., 2006: Dynamic Data Assimilation: A Least Squares Approach. Cambridge, UK, Cambridge Press, 680 pp.CrossRefGoogle Scholar
Lhermitte, R. M., 1988: Observations of rain at vertical incidence with a 94 GHz Doppler radar: An insight of Mie scattering. Geophysical Research Letters, 15, 1125–1128.CrossRefGoogle Scholar
Li, J., and Nakamura, K., 2002: Characteristics of the mirror image of precipitation observed by the TRMM precipitation radar. Journal of Atmospheric and Oceanic Technology, 19, 145–158.2.0.CO;2>CrossRefGoogle Scholar
Luke, E. P., and Kollias, P., 2013: Separating cloud and drizzle radar moments during precipitation onset using Doppler spectra. Journal of Atmospheric and Oceanic Technology, 30, 1656–1671.CrossRefGoogle Scholar
Mahrt, L., and Vickers, D., 2005: Boundary-layer adjustment over small-scale changes of surface heat flux.Boundary Layer Meteorology, 116, 313–330.CrossRefGoogle Scholar
Markowski, P., and Richardson, Y., 2010: Mesoscale Meteorology in Midlatitudes. Chichester, UK, Wiley, 430 pp.CrossRefGoogle Scholar
Markowski, P., Richardson, Y., Marquis, J., et al., 2012: The pretornadic phase of the Goshen County, Wyoming, supercell of 5 June 2009 intercepted by VORTEX2. Part I: Evolution of kinematic and surface thermodynamic fields. Monthly Weather Review, 140, 2887–2915.Google Scholar
Marshall, J. S., 1953: Precipitation trajectories and patterns. Journal of Meteorology, 10, 25–29.2.0.CO;2>CrossRefGoogle Scholar
Marshall, J. S., and Hitschfeld, W., 1953: Interpretation of the fluctuating echo from randomly distributed scatterers. Part 1. Canadian Journal of Physics, 31, 962–994.CrossRefGoogle Scholar
Marshall, J. S., and Palmer, W. McK., 1948: The distribution of raindrops with size. Journal of Meteorology, 5, 165–166.2.0.CO;2>CrossRefGoogle Scholar
Marshall, J. S., Langille, R. C., and Palmer, W. McK., 1947: Measurement of rainfall by radar. Journal of Meteorology, 4, 186–192.2.0.CO;2>CrossRefGoogle Scholar
Melnikov, V., and Matrosov, S., 2013: Radar measurements of the axis ratios of cloud particles. Proceedings, 36th Conference on Radar Meteorology, Breckenridge, CO, September 16–20, 2013, American Meteorological Society.Google Scholar
Meneghini, R., Iguchi, T., Kozu, T., et al., 2000: Use of the surface reference technique for path attenuation estimates from TRMM precipitation radar. Journal of Applied Meteorology, 39, 2053–2070.2.0.CO;2>CrossRefGoogle Scholar
Mittermaier, M. P., Hogan, R. J., and Illingworth, A. J., 2004: Using mesoscale model winds for correcting wind-drift errors in radar estimates of surface rainfall. Quarterly Journal of the Royal Meteorological Society, 130, 2105–2123.CrossRefGoogle Scholar
Mohr, C. G., and Miller, L. J., 1983: CEDRIC – A software package for Cartesian space editing, synthesis, and display of radar fields under interactive control. Preprints, 21st Conference on Radar Meteorology. Edmonton, AB, Canada, September 19–23, 1983, American Meteorological Society, 569–574.Google Scholar
Mueller, C., Saxen, T., Roberts, R., et al., 2003: NCAR auto-nowcast system. Weather Forecasting, 18, 545–561.2.0.CO;2>CrossRefGoogle Scholar
Nesbitt, S. W., and Anders, A. M., 2009: Very high resolution precipitation climatologies from the Tropical Rainfall Measuring Mission precipitation radar. Geophysical Research Letters, 36, doi:10.1029/2009GL038026.CrossRefGoogle Scholar
Nicol, J. C., Illingworth, A. J., Darlington, T., and Kitchen, M., 2013: Quantifying errors due to frequency changes and target location uncertainty for radar refractivity retrievals. Journal of Atmospheric and Oceanic Technology, 30, 2006–2024.CrossRefGoogle Scholar
Parent du Châtelet, J., Boudjabi, C., Besson, L., and Caumont, O., 2012: Errors caused by long-term drifts of magnetron frequencies for refractivity measurement with a radar: Theoretical formulation and initial validation. Journal of Atmospheric and Oceanic Technology, 29, 1428–1434.CrossRefGoogle Scholar
Park, H. S., Ryzhkov, A. V., Zrnić, D. S., Kim, K.-E., 2009: The hydrometeor classification algorithm for the polarimetric WSR-88D: Description and application to an MCS. Weather Forecasting, 24, 730–748.CrossRefGoogle Scholar
Pierce, C., Seed, A., Ballard, S., Simonin, D., and Li, Z., 2012: Nowcasting. In Doppler Radar Observations – Weather Radar, Wind Profiler, Ionospheric Radar, and Other Advanced Applications, Bech, J. and Chau, J. L. (eds.). Rijeka, Croatia, InTech, 97–142.Google Scholar
Politovitch, M. K., and Bernstein, B. C., 1995: Production and depletion of supercooled liquid water in a Colorado winter storm. Journal of Applied Meteorology, 34, 2631–2648.Google Scholar
Pruppacher, H. R., and Beard, K. V., 1970: A wind tunnel investigation of the internal circulation and shape of water drops falling at terminal velocity in air. Quarterly Journal of the Royal Meteorological Society, 96, 247–256.CrossRefGoogle Scholar
Radhakrishna, B., Zawadzki, I., and Fabry, F., 2012: Predictability of precipitation from continental radar images. Part V: Growth and decay. Journal of the Atmospheric Sciences, 69, 3336–3349.CrossRefGoogle Scholar
Roberts, R. D., Fabry, F., Kennedy, P. C., et al., 2008: REFRACTT-2006: Real-time retrieval of high-resolution, low-level moisture fields from operational NEXRAD and research radars. Bulletin of the American Meteorological Society, 89, 1535–1548.CrossRefGoogle Scholar
Roberts, R. D., Anderson, A. R. S., Nelson, E., et al., 2012: Impacts of forecaster involvement on convective storm initiation and evolution nowcasting. Weather and Forecasting, 27, 1061–1089.CrossRefGoogle Scholar
Rosenfeld, D., and Ulbrich, C. W., 2003: Cloud microphysical properties, processes, and rainfall estimation opportunities. In Radar and Atmospheric Science: A Collection of Essays in Honor of David Atlas, Wakimoto, R. M. and Srivastava, R. C. (eds.). Boston, MA, American Meteorological Society, 270 pp.Google Scholar
Rotunno, R., Klemp, J. B., and Weisman, M. L., 1988: A theory for strong, long-lived squall lines. Journal of the Atmospheric Sciences, 45, 463–485.2.0.CO;2>CrossRefGoogle Scholar
Ryzhkov, A. V., Schuur, T. J., Burgess, D. W., et al., 2005: The joint polarization experiment: Polarimetric rainfall measurements and hydrometeor classification. Bulletin of the American Meteorological Society, 86, 809–824.CrossRefGoogle Scholar
Ryzhkov, A., Diederich, M., Zhang, P., and Simmer, C., 2014: Potential utilization of specific attenuation for rainfall estimation, mitigation of partial beam blockage, and radar networking. Journal of Atmospheric and Oceanic Technology, 31, 599–619.CrossRefGoogle Scholar
Sachidananda, M., and Zrnić, D. S., 1986: Differential propagation phase shift and rainfall rate estimation. Radio Science, 21, 235–247.CrossRefGoogle Scholar
Sachidananda, M., and Zrnić, D., 1999: Systematic phase codes for resolving range overlaid signals in a Doppler weather radar. Journal of Atmospheric and Oceanic Technology, 16, 1351–1363.2.0.CO;2>CrossRefGoogle Scholar
Saltikoff, E., Hohti, H., and Lopez, P., 2014: Some challenges of QPE in snow. Proceedings, the Eighth European Conference on Radar in Meteorology and Hydrology, Garmisch-Partenkirchen, Germany, September 1–5, 2014. [Available at: http://www.pa.op.dlr.de/erad2014/programme/ExtendedAbstracts/036_Saltikoff.pdf].Google Scholar
Seed, A. W., 2003: A dynamic and spatial scaling approach to advection forecasting.Journal of Applied Meteorology, 42, 381–388.2.0.CO;2>CrossRefGoogle Scholar
Seliga, T. A., and Bringi, V. N., 1976: Potential use of radar differential reflectivity measurements at orthogonal polarizations for measuring precipitation. Journal of Applied Meteorology, 15, 69–76.2.0.CO;2>CrossRefGoogle Scholar
Sirmans, D., Zrnić, D. S., and Bumgarner, B., 1976: Extension of maximum unambiguous Doppler velocity by use of two sampling rates. Preprints, 17th Conference on Radar Meteorology, Seattle WA, October 26–29, 1976, American Meteorological Society, 23–28.Google Scholar
Skolnik, M., 2008: Radar Handbook, edn. New York NY,McGraw Hill, 1328 pp.Google Scholar
Steiner, M., Houze, R. A. Jr., and Yuter, S. E., 1995: Climatological characterization of three-dimensional storm structure from operational radar and rain gauge data. Journal of Applied Meteorology, 34, 1978–2007.2.0.CO;2>CrossRefGoogle Scholar
Stimson, G. W., 1998: Introduction to Airborne Radar, nd edn. Mendham, NJ,Scitech Publishing, 576 pp.Google Scholar
Stumpf, G. J., Witt, A., Mitchell, E. D., et al., 1998: The National Severe Storms Laboratory mesocyclone detection algorithm for the WSR-88D. Weather and Forecasting, 13, 304–326.2.0.CO;2>CrossRefGoogle Scholar
Sun, J., and Crook, N. A., 1997: Dynamical and microphysical retrieval from Doppler radar observations using a cloud model and its adjoint. Part I: Model development and simulated data experiments. Journal of Atmospheric Sciences, 54, 1642–1661.2.0.CO;2>CrossRefGoogle Scholar
Sun, J., and Wilson, J. W., 2003: The assimilation of radar data for weather prediction. In Radar and Atmospheric Science: A Collection of Essays in Honor of David Atlas, Wakimoto, R. M. and Srivastava, R. C. (eds.). Boston, MA, American Meteorological Society, 175–198.Google Scholar
Tabary, P., 2007: The new French operational radar rainfall product. Part I: Methodology. Weather and Forecasting, 22, 393–408.Google Scholar
Tatarskii, V. I, 1971: The Effects of the Turbulent Atmosphere on Wave Propagation (translated from Russian by the Israel Program for Scientific Translations Ltd, ISBN 0 7065 0680 4), Reproduced by National Technical Information Service, US Department of Commerce, Springfield, VA.Google Scholar
Testud, J., Le Bouar, E., Obligis, E., and Ali-Mehenni, M., 2000: The rain profiling algorithm applied to polarimetric weather radar. Journal of Atmospheric and Oceanic Technology, 17, 332–356.2.0.CO;2>CrossRefGoogle Scholar
Thompson, R. J., Illingworth, A. J., and Ovens, J., 2011: Emission: A simple technique to correct rainfall estimates from attenuation due to both radome and heavy rainfall. Proceedings, 8th International Symposium Weather Radar and Hydrology, April 18–21, 2011, Exeter, UK.Google Scholar
Thomspon, T. E., Wicker, L. J., and Wang, X., 2012: Impact from a volumetric radar-sampling operator for radial velocity observations within EnKF supercell assimilation. Journal of Atmospheric and Oceanic Technology, 29, 1417–1427.Google Scholar
Torres, S., and Curtis, C., 2011: A fresh look at the range weighting function for modern weather radars. Proceedings, 35th Radar Conference on Radar Meteorology, Pittsburgh, PA, September 25–30, 2011, American Meteorological Society. [Available at: https://ams.confex.com/ams/35Radar/webprogram/Manuscript/Paper191117/Radar%20Conference%202011.pdf].Google Scholar
Trapp, R. J., 2013: Mesoscale-Convective Processes in the Atmosphere. Cambridge, Cambridge University Press, 377 pp.CrossRefGoogle Scholar
Tsonis, A. A, and Austin, G. L., 1981: An evaluation of extrapolation techniques for the short-term prediction of rain amounts. Atmosphere–Ocean, 19, 54–65.CrossRefGoogle Scholar
Turner, B. J., Zawadzki, I., and Germann, U., 2004: Predictability of precipitation from continental radar images. Part III: Operational nowcasting implementation (MAPLE). Journal of Applied Meteorology, 43, 231–248.2.0.CO;2>CrossRefGoogle Scholar
Valdez, M. P., and Young, K. C., 1985: Number fluxes in equilibrium raindrop populations: A Markov chain analysis. Journal of the Atmospheric Sciences, 42, 1024–1036.2.0.CO;2>CrossRefGoogle Scholar
Wakimoto, R. M., Murphey, H., Fovell, R., and Lee, W.-C., 2004: Mantle echoes associated with deep convection: Observations and numerical simulations. Monthly Weather Review, 132, 1701–1720.2.0.CO;2>CrossRefGoogle Scholar
WDTB (Weather Decision Training Branch), 2014: Distance Learning Operations Course Topic 7: Convective Storm Structure and Evolution. [Available online at: http://www.wdtb.noaa.gov/courses/dloc/documentation/DLOC_FY14_Topic7.pdf, and try replacing “14” by the current year].
Weckwerth, T. M., Pettet, C. R., Fabry, F., Park, S., Wilson, J. W., and LeMone, M. A., 2005: Radar refractivity retrieval: Validation and application to short-term forecasting. Journal of Applied Meteorology, 44, 285–300.CrossRefGoogle Scholar
Williams, E., 2014: Aviation Formulary V1.46. [Available online at: http://williams.best.vwh.net/avform.htm].
Wilson, J. W., and Brandes, E. A., 1979: Radar measurement of rainfall – A summary. Bulletin of the American Meteorological Society, 60, 1048–1058.2.0.CO;2>CrossRefGoogle Scholar
Wilson, J. W., and Schreiber, W. E., 1986: Initiation of convective storms at radar-observed boundary-layer convergence lines. Monthly Weather Review, 114, 2516–2536.2.0.CO;2>CrossRefGoogle Scholar
Wurman, J., 1994: Vector winds from a single-transmitter bistatic dual-Doppler radar network. Bulletin of the American Meteorological Society, 75, 983–994.2.0.CO;2>CrossRefGoogle Scholar
Xue, M., Kong, F., Thomas, K. W., et al., 2008: CAPS realtime storm-scale ensemble and high-resolution forecasts as part of the NOAA Hazardous Weather Testbed 2008 Spring Experiment. Preprints, 24th Conference on Severe Local Storms, Savannah, GA, October 27–31, 2008, American Meteorological Society, 12.2. [Available online at https://ams.confex.com/ams/24SLS/techprogram/paper_142036.htm].Google Scholar
Zawadzki, I., and De Agostinho Antonio, M., 1988: Equilibrium raindrop size distributions in tropical rain. Journal of the Atmospheric Sciences, 45, 3452–3459.2.0.CO;2>CrossRefGoogle Scholar
Zawadzki, I., Szyrmer, W., and Laroche, S., 2000: Diagnostic of supercooled clouds from single-Doppler observations in regions of radar-detectable snow. Journal of Applied Meteorology, 39, 1041–1058.2.0.CO;2>CrossRefGoogle Scholar
Zeng, Y., Blahak, U., Neuper, M., and Jerger, D., 2014: Radar beam tracing methods based on atmospheric refractive index. Journal of Atmospheric and Oceanic Technology, 31, 2650–2670.CrossRefGoogle Scholar
Zhang, G., and Doviak, R. J., 2007: Spaced-antenna interferometry to measure crossbeam wind, shear, and turbulence: Theory and formulation. Journal of Atmospheric and Oceanic Technology, 25, 791–805.Google Scholar

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  • References
  • Frédéric Fabry, McGill University, Montréal
  • Book: Radar Meteorology
  • Online publication: 05 June 2015
  • Chapter DOI: https://doi.org/10.1017/CBO9781107707405.016
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  • References
  • Frédéric Fabry, McGill University, Montréal
  • Book: Radar Meteorology
  • Online publication: 05 June 2015
  • Chapter DOI: https://doi.org/10.1017/CBO9781107707405.016
Available formats
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  • References
  • Frédéric Fabry, McGill University, Montréal
  • Book: Radar Meteorology
  • Online publication: 05 June 2015
  • Chapter DOI: https://doi.org/10.1017/CBO9781107707405.016
Available formats
×