Combining meteorological radar and network of rain gauges data for space–time model development

Technological developments and the trend to go higher and higher in frequency give rise to the need for true space–time rain field models for testing the dynamics of fade countermeasures. There are many models that capture the spatial correlation of rain fields. Worth mentioning are those models based on cell ensembles. However, the rain rate fields created in this way need the introduction of the time variable to reproduce their dynamics. In this paper, we have concentrated on addressing the time domain effects while we have relied on existing spatial rain field models for creating initial fields, which are propagated (advected) according to proposed models and assumptions, some of which have been drawn from a combined use of a concurrent weather radar and a network of rain gauges. The dynamic modeling presented simulates the advection of a synthetically generated rain field according to dynamic, spatially correlated advection fields extracted from the analysis of weather radar images. Experimental data and model fits have been presented as well. Further ideas on how to improve the realism of the generated dynamic fields have also been presented. Furthermore, the limitations of radar data, especially those related to their limited time resolution, for the required space–time models have been pointed out. These can be overcome by using data from a network of rain gauges. However, it is important to be aware of the similarities and differences between these two sources. A comparative study of these two data sets has also been presented. Copyright © 2009 John Wiley & Sons, Ltd.

[1]  I. Zawadzki,et al.  On Radar-Raingage Comparison , 1975 .

[2]  James W. Wilson,et al.  Radar Measurement of Rainfall—A Summary , 1979 .

[3]  Aldo Paraboni,et al.  Data and theory for a new model of the horizontal structure of rain cells for propagation applications , 1987 .

[4]  Witold F. Krajewski,et al.  Cokriging radar‐rainfall and rain gage data , 1987 .

[5]  Guy Delrieu,et al.  Rain Measurement by Raingage-Radar Combination: A Geostatistical Approach , 1988 .

[6]  Witold F. Krajewski,et al.  A modeling study of rainfall rate-reflectivity relationships , 1993 .

[7]  Dong-Jun Seo,et al.  Real-time estimation of rainfall fields using radar rainfall and rain gage data , 1998 .

[8]  P. Willems.  Stochastic generation of spatial rainfall for urban drainage areas , 1999 .

[9]  Julius Goldhirsh,et al.  Two‐dimension visualization of rain cell structures , 2000 .

[10]  P. Willems.  A spatial rainfall generator for small spatial scales , 2001 .

[11]  Ezio Todini,et al.  A Bayesian technique for conditioning radar precipitation estimates to rain-gauge measurements , 2001 .

[12]  Gunnar Farnebäck,et al.  Polynomial expansion for orientation and motion estimation , 2002 .

[13]  Laurent Castanet,et al.  HYCELL—A new hybrid model of the rain horizontal distribution for propagation studies: 1. Modeling of the rain cell , 2003 .

[14]  Neill E. Bowler,et al.  Development of a precipitation nowcasting algorithm based upon optical flow techniques , 2004 .

[15]  N. Verhoest,et al.  Characteristics of rainstorms over a temperate region derived from multiple time series of weather radar images , 2005 .

[16]  G. Pegram,et al.  Combining radar and rain gauge rainfall estimates using conditional merging , 2005 .

[17]  L. Castanet,et al.  Short- And Mid-Term Prediction Techniques Of Propagation Conditions From Weather Radar Observations. Application to resource management in SATCOM systems , 2006, 2006 International Workshop on Satellite and Space Communications.

[18]  C. Capsoni,et al.  Advanced modelling of the space-time behaviour of the propagation channel for future Satcom systems , 2006, 2006 First European Conference on Antennas and Propagation.

[19]  Uwe-Carsten Fiebig,et al.  A Space-Time Model for Reproducing Rain Field Dynamics , 2007 .

[20]  András Bárdossy,et al.  Spatial correlation of radar and gauge precipitation data in high temporal resolution , 2007 .

[21]  U. Fiebig,et al.  A synthetic rain rate time series generator: A step toward a full space‐time model , 2007 .

[22]  Carlo Capsoni,et al.  An enhanced version of the SC EXCELL model considering cells movement , 2007 .

[23]  Joël Lemorton,et al.  Stochastic Spatio-Temporal Modelling of Rain Attenuation for Propagation Studies , 2007 .

[24]  J. Jaime Gómez-Hernández,et al.  A non-parametric automatic blending methodology to estimate rainfall fields from rain gauge and radar data , 2009 .

[25]  M. Borga,et al.  Weather radar and hydrology , 2009 .