Prof. Isztar Zawadzki

 

Cloud Physics and Radar Meteorology   

Office: Burnside Hall 824 | 825
Tel.: (514) 398-1034
Fax.: (514) 398-6115
Website
isztar.zawadzki [at] mcgill.ca (E-mail)


Research interests

The general topics of research activity are Cloud Physics and Radar Meteorology and Short Term Forecasting (Nowcasting).

Below is a list of the most recent research topics followed by the reference to the latest publication in each of the topics 

  • Precipitation Measurements, Structure and Forecasting 

(Berenguer, M. and I. Zawadzki, 2008: A study of the error covariance matrix of radar rainfall estimates in stratiform rain, Part II: Scale dependence.  Weather and Forecasting.  24, 800-811)

  • Cloud Microphysics

(Szyrmer, W. and I. Zawadzki, 2014: Snow studies, Part IV: Ensemble retrieval of snow microphysics from dual wavelength vertically pointing radars. J. Atmos. Sci., 71, 1171-1186.)

  • Predictability of chaotic atmospheric phenomena and their multifractal structure 

(Atencia, A. and I Zawadzki, 2017: Analogues on the Lorenz attractor and ensemble spread. Monthly Weather Review. 145,  1381-1400)

  • Radar data assimilation into numerical models

(Jacques, D. and I. Zawadzki, 2015: The impacts of representing the correlation of errors in radar data assimilation: Part II: model output as background estimates. Monthly Weather Review, 142, 3998-4016.)

  • Predictability of precipitation systems from model and radar data

(Surcel, M , I. Zawadzki, M. K. Yau, Ming Xue and Fanyou Kong: 2017: More on the scale-dependence of the predictability of precipitation patterns. Extension to the 2009-2013 CAPS Spring Experiment ensemble forecasts. Monthly Weather Review . 145, 3625-3646)


Some recent publications

  • Atencia, A. and I Zawadzki, 2017: Analogues on the Lorenz attractor and ensemble spread. Monthly Weather Review. 145,  1381-1400
  • Surcel, M , I. Zawadzki, M. K. Yau, Ming Xue and Fanyou Kong: 2017: More on the scale-dependence of the predictability of precipitation patterns. Extension to the 2009-2013 CAPS Spring Experiment ensemble forecasts. Monthly Weather Review . 145, 3625-3646

For a complete list, please visit our publications page.