On the estimation of climatological Z-R relationships

W. F. Krajewski, James A. Smith

Research output: Contribution to journalArticlepeer-review

40 Scopus citations


For parametric models, it is shown that Z-R parameters can be estimated by maximum likelihood, a procedure with optimal large sample properties. A general nonparametric framework for climatological Z-R estimation is also developed. Nonparametric procedures are attractive because of their flexibility in dealing with certain types of measurement errors common to radar data. Simulation experiments show that even under favorable assumptions on error characteristics of radar and raingages, large datasets are required to obtain accurate Z-R parameter estimates. Another important conclusion is that estimation results are generally quite sensitive to radar and raingage measurement thresholds. For fixed sample size, the simulation results can be used to provide quantitative assessments of the accuracy of Z-R model parameter estimates. -from Authors

Original languageEnglish (US)
Pages (from-to)1436-1445
Number of pages10
JournalJournal of Applied Meteorology
Issue number10
StatePublished - 1991

All Science Journal Classification (ASJC) codes

  • Atmospheric Science


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