Providing distributed forecasts of precipitation using a Bayesian nowcast scheme
Author(s) -
Fox Neil I.,
Wikle Christopher K.
Publication year - 2005
Publication title -
atmospheric science letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.951
H-Index - 45
ISSN - 1530-261X
DOI - 10.1002/asl.93
Subject(s) - precipitation , bayesian probability , variance (accounting) , computer science , quantitative precipitation forecast , meteorology , nowcasting , environmental science , climatology , pixel , scheme (mathematics) , econometrics , artificial intelligence , mathematics , geography , geology , accounting , business , mathematical analysis
This article presents examples of the nowcast products that can be generated using a stochastic Bayesian precipitation nowcast scheme. Using this scheme, one can view QPF distributions, variance (uncertainty) fields and cumulative probability distributions by point/pixel and, by simulating small catchments as a collection of pixels, the uncertainty characteristics at different spatial scales. Copyright © 2005 Royal Meteorological Society
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom