Rain-Rate Estimation in the Presence of Hail Using S- Band Specific Differential Phase and Other Radar Parameters
نویسنده
چکیده
Multiparameter radar measurements were made during a heavy rainfall event accompanied by hail in Colorado. Rainfall rates R and accumulation for this event were estimated using S-band specific differential phase KDP, reflectivity factor ZH, and X-band specific attenuation AH3. These estimates were compared with measurements from a ground-based rain gauge. Both R–KDP and R–AH3 relations were in good agreement with the rain gauge data, that is, less than 10% difference in the rainfall accumulations. The R–Z relation produced similar results only when ZH was truncated at 55 dBZ. This study demonstrates the potential of KDP for estimating rainfall rates in severe storms that may have rain-hail mixtures. 404 $OURNAL OF APPLIED METEOROLOGY VOLUME34 Rain-Rate Estimation in the Presence of Hail Using S-Band Specific Differential Phase and Other Radar Parameters K.. AYDIN Department of Electrical Engineering, The Pennsylvania State University, University Park, Pennsylvania V. N. BRING1 AND L. LIU Department of Electrical Engineering, Colorado State University, Fort Collins, Colorado (Manuscript received 21 February 1994, in final form 23 June 1994) ABSTRACT Multiparameter radar measurements were made during a heavy rainfall event accompanied by hail in Colorado. Rainfall rates R and accumulation Z for this event were estimated using S-band specific differential phase KDp, reflectivity factor Zn, and X-band specific attenuation Am. These estimates were compared with measurements from a ground-based rain gauge. Both R-Kv~, and R-Am relations were in good agreement with the rain gauge data, that is, less than 10% difference in the rainfall accumulations. The R-Z relation produced similar results only when ZH was truncated at 55 dBZ. This study demonstrates the potential of KDp for estimating rainfall rates in severe storms that may have rain-hall mixtures.
منابع مشابه
Observations of oblate hail using dual polarization radar and implications for hail-detection schemes
Coincidental radar measurements and in situ ground-truth observations of large, oblate hail has allowed new insights into the fall mode of oblate hailstones. The effect of the fall mode upon hail-detection algorithms using multi-parameter radar is investigated and discussed, as is the vexed problem of extracting realistic rainfall rates in regions where hail and rain coexist. Observations prese...
متن کاملA New Dual-Polarization Radar Rainfall Algorithm: Application in Colorado Precipitation Events
The efficacy of dual-polarization radar for quantitative precipitation estimation (QPE) has been demonstrated in a number of previous studies. Specifically, rainfall retrievals using combinations of reflectivity (Zh), differential reflectivity (Zdr), and specific differential phase (Kdp) have advantages over traditional Z–R methods because more information about the drop size distribution (DSD)...
متن کاملSimultaneous Estimation of Microphysical Parameters and Atmospheric State using Simulated Polarimetric Radar Data and Ensemble Kalman Filter in the Presence of Observation Operator Error
The impact of polarimetric radar data on the estimation of uncertain microphysical parameters is investigated when the effect of uncertain parameters on the observation operators is also considered. Five fundamental microphysical parameters, i.e., the intercept parameters of rain, snow and hail and the bulk densities of snow and hail, are estimated individually or collectively using the ensembl...
متن کاملCorrection for attenuation of radar reflectivity using polarization data
SUMMARK Attenuation by heavy rain is a major operational problem in radar estimation of rainfall rates, and one which is increasingly severe at wavelengths shorter than 10 cm. Gate-by-gate correction algorithms, including those using both reflectivity ( Z H ) and differential reflectivity ( Z D R ) , are inherently unstable. In addition values of ZH and ZDK arc affected by hail, which causes li...
متن کاملSimultaneous Estimation of Microphysical Parameters and the Atmospheric State Using Simulated Polarimetric Radar Data and an Ensemble Kalman Filter in the Presence of an Observation Operator Error
The impacts of polarimetric radar data on the estimation of uncertain microphysical parameters are investigated through observing system simulation experiments when the effects of uncertain parameters on the observation operators are also considered. Five fundamental microphysical parameters (i.e., the intercept parameters of rain, snow, and hail and the bulk densities of snow and hail) are est...
متن کامل