Investigation of Non-homogenous hidden Markov models and their Application to Spatially-distributed Precipitation Types

Investigation of Non-homogenous hidden Markov models and their Application to Spatially-distributed Precipitation Types

Precipitation is an important element in the hydrological cycle. To predict and simulate large-scale precipitation, Global Circulation Models (GCMs) are widely used. However, their grid scale is too big to apply to local hydrologic fields. In this study, non-homogenous hidden Markov models (NHMM) ar...

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Bibliographic Details
Main Author: Song, Jae Young
Other Authors: Cahill, Anthony T
Format: Others
Published: 2013
Subjects:
Downscaling
Non-homgenous hidden Markov Models
Online Access:http://hdl.handle.net/1969.1/148343

Internet

http://hdl.handle.net/1969.1/148343

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