An object-oriented approach to the verification of quantitative precipitation forecasts: Part I - Methodology

Randy Bullock, Barbara G. Brown, Chris A. Davis, Michael Chapman, Kevin W. Manning, Rebecca Morss

Research output: Contribution to journalConference articlepeer-review

Abstract

The development of advanced diagnostic methods are discussed for evaluation of quantitative precipitation forecasts. The forecast and observed fields are resolved into objects using 'object-oriented' approach. The geometric shapes are fitted to objects for representing them in simplified or schematic fashion and objects are merged according to closeness of attributes. The object matching is performed in time domain and spatial domain which provides method for tracking individual objects over their lifetime.

Original languageEnglish
Pages (from-to)3891-3896
Number of pages6
JournalBulletin of the American Meteorological Society
StatePublished - 2004
EventCombined Preprints: 84th American Meteorological Society (AMS) Annual Meeting - Seattle, WA., United States
Duration: Jan 11 2004Jan 15 2004

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