Stochastic modeling of rainfall

Conference · Tue Dec 31 00:00:00 EST 1996

OSTI ID:505174

Guttorp, P ^[1]

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1. Univ. of Washington, Seattle, WA (United States)

We review several approaches in the literature for stochastic modeling of rainfall, and discuss some of their advantages and disadvantages. While stochastic precipitation models have been around at least since the 1850`s, the last two decades have seen an increased development of models based (more or less) on the physical processes involved in precipitation. There are interesting questions of scale and measurement that pertain to these modeling efforts. Recent modeling efforts aim at including meteorological variables, and may be useful for regional down-scaling of general circulation models.

• OSTI ID: 505174
• Report Number(s): CONF-9207256-Vol.79; TRN: 97:003314-0007
• Resource Relation: Conference: IMA summer program on mathematical, computational, and statistical analyses in environmental studies, Minneapolis, MN (United States), 6-31 Jul 1992; Other Information: PBD: 1996; Related Information: Is Part Of Environmental studies: Mathematical, computational, and statistical analysis; Wheeler, M.F. [ed.] [Rice Univ., Houston, TX (United States)]; PB: 414 p.
• Country of Publication: United States
• Language: English

Related Subjects

54 ENVIRONMENTAL SCIENCES
58 GEOSCIENCES
GENERAL CIRCULATION MODELS
EVALUATION
ATMOSPHERIC PRECIPITATIONS
STOCHASTIC PROCESSES
ATMOSPHERIC CIRCULATION
CLIMATE MODELS