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

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

National Center for Atmospheric Research

Research output: Contribution to journal › Conference article › peer-review

Abstract

Advanced diagnostic methods for the evaluation of quantitative precipitation forecasts are developed and tested using an object-oriented approach. Both the forecast and observed fields are resolved into objects and forecast and observed objects are then compared. Objects can be detected in data fields by a simple convolution filter based approach. Simple geometric shapes can be fitted to objects to represent them in a simplified or schematic fashion. Objects can be matched or merged according to closeness of attributes.

Original language	English
Pages (from-to)	3223-3228
Number of pages	6
Journal	Bulletin of the American Meteorological Society
State	Published - 2004
Event	Combined Preprints: 84th American Meteorological Society (AMS) Annual Meeting - Seattle, WA., United States Duration: Jan 11 2004 → Jan 15 2004

Cite this

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

abstract = "Advanced diagnostic methods for the evaluation of quantitative precipitation forecasts are developed and tested using an object-oriented approach. Both the forecast and observed fields are resolved into objects and forecast and observed objects are then compared. Objects can be detected in data fields by a simple convolution filter based approach. Simple geometric shapes can be fitted to objects to represent them in a simplified or schematic fashion. Objects can be matched or merged according to closeness of attributes.",

author = "Randy Bullock and Brown, \{Barbara G.\} and Davis, \{Chris A.\} and Michael Chapman and Manning, \{Kevin W.\} and Rebecca Morss",

year = "2004",

language = "English",

pages = "3223--3228",

journal = "Bulletin of the American Meteorological Society",

issn = "0003-0007",

publisher = "American Meteorological Society",

note = "Combined Preprints: 84th American Meteorological Society (AMS) Annual Meeting ; Conference date: 11-01-2004 Through 15-01-2004",

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T1 - An object-oriented approach to the verification of quantitative precipitation forecasts

T2 - Combined Preprints: 84th American Meteorological Society (AMS) Annual Meeting

AU - Bullock, Randy

AU - Brown, Barbara G.

AU - Davis, Chris A.

AU - Chapman, Michael

AU - Manning, Kevin W.

AU - Morss, Rebecca

PY - 2004

Y1 - 2004

N2 - Advanced diagnostic methods for the evaluation of quantitative precipitation forecasts are developed and tested using an object-oriented approach. Both the forecast and observed fields are resolved into objects and forecast and observed objects are then compared. Objects can be detected in data fields by a simple convolution filter based approach. Simple geometric shapes can be fitted to objects to represent them in a simplified or schematic fashion. Objects can be matched or merged according to closeness of attributes.

AB - Advanced diagnostic methods for the evaluation of quantitative precipitation forecasts are developed and tested using an object-oriented approach. Both the forecast and observed fields are resolved into objects and forecast and observed objects are then compared. Objects can be detected in data fields by a simple convolution filter based approach. Simple geometric shapes can be fitted to objects to represent them in a simplified or schematic fashion. Objects can be matched or merged according to closeness of attributes.

UR - https://www.scopus.com/pages/publications/2442495014

M3 - Conference article

AN - SCOPUS:2442495014

SN - 0003-0007

SP - 3223

EP - 3228

JO - Bulletin of the American Meteorological Society

JF - Bulletin of the American Meteorological Society

Y2 - 11 January 2004 through 15 January 2004

ER -

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

Abstract

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