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                    Tutorial 
                      3.5Thursday PM, 27 April 2006
 Polarimetric 
                      Doppler Weather RadarInstructor: Richard Doviak, 
                      National Severe Storms Laboratory, USA
 
 Synopsis: 
                      This tutorial reviews the principles of Polarimetric Doppler 
                      weather radar and its application to the observation of 
                      weather and the quantitative radar measurement of meteorological 
                      parameters. It highlights the engineering and scientific 
                      research to remotely probe and show the structure of many 
                      atmospheric phenomena (tornadoes, microbursts, solitary 
                      waves, etc.) not available by any other practical means. 
                      The quantitative measurement of rainfall provided by polarimetry 
                      will be discussed. Doppler techniques have found application 
                      in the network of weather radars (NEXRAD/WSR-88D) presently 
                      operated by the USA National Weather Service (NWS), as well 
                      as in networks in other nations. Now the NWS plans to upgrade 
                      its operational radars to have polarimetric capability. 
                      The latest advances in polarimetric-Doppler weather radar 
                      technology are presented, and polarimetric data are shown 
                      to offer significant improvements in remote measurement 
                      of rainfall. The use of phase coded signals and staggered 
                      PRF techniques to resolve range ambiguities will be discussed. 
                      Radar observations are related to atmospheric phenomena 
                      observed by eye, and radar data fields are correlated with 
                      photographs and/or satellite images of the phenomena. The 
                      attendees will benefit by gaining an understanding of the 
                      theory, design, operation, and applications of Polarimetric 
                      Doppler weather radar. The focus will be on meteorological 
                      phenomena, their radar signatures, and quantitative measurement 
                      of weather parameters. This Tutorial has a recommended book: Doppler Radar and 
                      Weather Observations, Richard J. Doviak and Dusan S. 
                      Zrnic, Academic Press, 2nd edition, 1993. Unfortunately, 
                      the book is out of print, but might be available at web 
                      sites.
  
                 
                   
                    
                       
                        |  | Dr. 
                          Richard J. Doviak is a senior engineer at 
                          the National Severe Storms Laboratory (NSSL), an Affiliated 
                          Professor in the Departments of EE and Meteorology at 
                          the University of Oklahoma, and a Fellow of the Cooperative 
                          Institute for Mesoscale Meteorological Studies, the 
                          IEEE, and the American Meteorological Society. His B.S.E.E. 
                          is from Rensselear Polytechnic Institute, and M.Sc. 
                          and Ph.D. are from the University of Pennsylvania. At 
                          NSSL he was responsible for leading a project to develop 
                          10 cm Doppler weather radars that became the prototype 
                          used by the National Weather Service. He has been a 
                          visiting professor at Kyoto University, Japan, and at 
                          the Australian National University. He was an Associate 
                          Editor for the Journal of Atmospheric and Oceanic Technology, 
                          an Associate Editor for the Journal of Applied Meteorology, 
                          and the Editor of the IEEE Transactions on Geoscience 
                          and Remote Sensing. |      |  |