
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