Estimation of the mean field bias of radar rainfall estimates

James A. Smith, W. F. Krajewski

Research output: Contribution to journalArticlepeer-review

196 Scopus citations


Mean field bias is modeled as a random process that varies not only from storm to storm but also over the course of a storm. State estimates of mean field bias are based on hourly raingage date and hourly accumulations of radar rainfall estimates. The procedures are developed for the precipitation processing systems used with products of the Next Generation Weather Radar (NEXRAD) system. To implement the state estimation procedures, parameters of the bias model must be specified. Likelihood-based procedures are developed for estimating these parameters. A simulation experiment is carried out to assess performance of the parameter estimation procedure. -from Authors

Original languageEnglish (US)
Pages (from-to)397-412
Number of pages16
JournalJournal of Applied Meteorology
Issue number4
StatePublished - 1991

All Science Journal Classification (ASJC) codes

  • Atmospheric Science


Dive into the research topics of 'Estimation of the mean field bias of radar rainfall estimates'. Together they form a unique fingerprint.

Cite this