Spatially-Adaptive Advection Radar Technique for Precipitation Mosaic Nowcasting

A new numerical nowcasting technique to predict the radar reflectivity field at very short term, up to few hours, is presented. The method is based on the spatial segmentation of the reflectivity field and estimated advection field to produce radar reflectivity forecasts and, for this reason, is named Spatially-adaptive Precipitation Advective Radar Estimator (SPARE). A large data set coming from the Italian radar network mosaic (spatial domain size of about 1200 1200 km2) is used to test the overall performance of SPARE against the simplest method of radar map temporal persistence. An original approach to estimate the radar field motion, based on the phase cross-correlation principle, is formulated in this paper. Results are given either in terms of skill scores of predicted radar maps or in terms of predicted uncertainty. The latter provides a new methodology to evaluate the expected performance of SPARE predictions.

[1]  P. Marcacci,et al.  Thunderstorm nowcasting by means of lightning and radar data: algorithms and applications in northern Italy , 2008 .

[2]  B. Golding.  Quantitative precipitation forecasting in the UK , 2000 .

[3]  Caren Marzban,et al.  A Neural Network for Tornado Prediction Based on Doppler Radar-Derived Attributes , 1996 .

[4]  L. Li,et al.  Nowcasting of Motion and Growth of Precipitation with Radar over a Complex Orography , 1995 .

[5]  Travis M. Smith,et al.  Data Mining Storm Attributes from Spatial Grids , 2009 .

[6]  B. Golding.  Nimrod: a system for generating automated very short range forecasts , 1998 .

[7]  Ke Xu,et al.  A Kernel-Based Spatio-Temporal Dynamical Model for Nowcasting Weather Radar Reflectivities , 2005 .

[8]  D. Megenhardt,et al.  Evaluation of the National Convective Weather Forecast Product , 2000 .

[9]  Robert M. Haralick,et al.  Textural Features for Image Classification , 1973, IEEE Trans. Syst. Man Cybern..

[10]  Robert M. Rabin,et al.  Multiscale storm identification and forecast , 2003 .

[11]  François Lalaurette,et al.  Early detection of abnormal weather conditions using a probabilistic extreme forecast index , 2003 .

[12]  C. Bretherton,et al.  Cloud-Resolving Model Simulations of KWAJEX: Model Sensitivities and Comparisons with Satellite and Radar Observations , 2007 .

[13]  R. Daley.  Atmospheric Data Analysis , 1991 .

[14]  Frank S. Marzano,et al.  Maximum-Likelihood Retrieval of Modeled Convective Rainfall Patterns from Midlatitude C-Band Weather Radar Data , 2007, IEEE Transactions on Geoscience and Remote Sensing.

[15]  A. Seed.  A Dynamic and Spatial Scaling Approach to Advection Forecasting , 2001 .

[16]  C. D. Kuglin,et al.  The phase correlation image alignment method , 1975 .

[17]  M. Dixon,et al.  TITAN: Thunderstorm Identification, Tracking, Analysis, and Nowcasting—A Radar-based Methodology , 1993 .

[18]  I. Zawadzki.  Statistical Properties of Precipitation Patterns , 1973 .

[19]  V. Chandrasekar,et al.  The CASA Nowcasting System , 2011 .

[20]  Arthur Witt,et al.  The Storm Cell Identification and Tracking Algorithm: An Enhanced WSR-88D Algorithm , 1998 .

[21]  Christopher K. Wikle,et al.  Atmospheric Modeling, Data Assimilation, and Predictability , 2005, Technometrics.

[22]  Nicola Rebora,et al.  Precipitation Nowcasting by a Spectral-Based Nonlinear Stochastic Model , 2009 .

[23]  Erik N. Rasmussen,et al.  Precipitation Uncertainty Due to Variations in Precipitation Particle Parameters within a Simple Microphysics Scheme , 2004 .

[24]  P. P. Alberoni,et al.  Intercomparison of two nowcasting methods: preliminary analysis , 2008 .

[25]  R. Rinehart,et al.  Three-dimensional storm motion detection by conventional weather radar , 1978, Nature.

[26]  Lei Han,et al.  3D Convective Storm Identification, Tracking, and Forecasting—An Enhanced TITAN Algorithm , 2009 .

[27]  Chris G. Collier,et al.  GANDOLF: a system for generating automated nowcasts of convective precipitation , 2000 .

[28]  I. Zawadzki,et al.  Predictability of Precipitation from Continental Radar Images. Part III: Operational Nowcasting Implementation (MAPLE) , 2004 .

[29]  Neil I. Fox,et al.  The nowcasting of precipitation during Sydney 2000: An appraisal of the QPF algorithms , 2004 .