A study for improving precipitation occurrences modelling with a Markov chain

Mimikou, M

dc.contributor.author	Mimikou, M	en
dc.date.accessioned	2014-03-01T01:06:14Z
dc.date.available	2014-03-01T01:06:14Z
dc.date.issued	1984	en
dc.identifier.issn	00221694	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/9250
dc.subject	Markov Chain	en
dc.subject.other	HYDROLOGY - Mathematical Models	en
dc.subject.other	STATISTICAL METHODS	en
dc.subject.other	METEOROLOGY	en
dc.title	A study for improving precipitation occurrences modelling with a Markov chain	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/0022-1694(84)90111-2	en
heal.identifier.secondary	http://dx.doi.org/10.1016/0022-1694(84)90111-2	en
heal.publicationDate	1984	en
heal.abstract	Daily precipitation occurrences and their monthly wet-days' sums of precipitation-measuring stations in Greece are modelled with a Markov chain. The order of the chain is taken to be seasonally varying in accordance with the precipitation station's meteorological conditions and geographical location. The modelling efficiency of the Markov chain is significantly improved when it is conjunctively used with a second-order autoregressive stochastic model fitted on the monthly wet-days' sums. © 1984.	en
heal.journalName	Journal of Hydrology	en
dc.identifier.doi	10.1016/0022-1694(84)90111-2	en
dc.identifier.volume	70	en
dc.identifier.issue	1-4	en
dc.identifier.spage	25	en
dc.identifier.epage	33	en