Downscaling medium-range ensemble forecasts using a neural network approach
Other literature type
(issn: 2199-899X, eissn: 2199-899X)
arxiv: Physics::Geophysics | Physics::Atmospheric and Oceanic Physics
In this study, we present an application of self-organizing maps (SOMs) to
downscaling weekly ensemble forecasts for probabilistic prediction of local
precipitation in Japan. SOM is simultaneously employed on four elemental
variables derived from the JRA55 reanalysis over area of study (Southwestern
Japan), whereby a two-dimensional lattice of weather patterns (WPs)
dominated during the 1958–2008 period is obtained. Downscaling weekly
ensemble forecasts to local precipitation are conducted by using the
obtained SOM lattice based on the WPs of the global model ensemble forecast.
A probabilistic local precipitation is easily and quickly obtained from the
ensemble forecast. The predictability skill of the ensemble forecasts for
the precipitation is significantly improved under the downscaling technique.