Stochastic rainfall forecasting by conditional simulation using a scaling storm model

Mamassis, N; Koutsoyiannis, D; Foufoula-Georgiou, E

dc.contributor.author	Mamassis, N	en
dc.contributor.author	Koutsoyiannis, D	en
dc.contributor.author	Foufoula-Georgiou, E	en
dc.date.accessioned	2014-03-01T02:54:24Z
dc.date.available	2014-03-01T02:54:24Z
dc.date.issued	1994	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/36856
dc.subject	Rainfall forecasting	en
dc.subject	Scaling model	en
dc.subject	Simulation	en
dc.subject.classification	Rain and rainfall	en
dc.title	Stochastic rainfall forecasting by conditional simulation using a scaling storm model	en
heal.type	conferenceItem	en
heal.publicationDate	1994	en
heal.abstract	Based on the recently developed scaling model of storm hyetograph, a conditional simulation scheme is presented, which can be used for stochastic forecasting of the temporal evolution of rainfall. The scaling model is fitted to hourly rainfall data of Greece and Italy. In addition, the model is tested for capturing statistical properties that are not explicitly used for the fitting. The scheme is formulated so as to use any information known for the rainfall event, as a condition for the simulation. The conditional simulation scheme is applied in two steps: first we generate the duration and total depth of the event and then we disaggregate the total depth into sequential hourly depths. Two different types of conditions are examined. The first one concerns the incorporation of preceding hourly rainfall depths. The second is related to information given by meteorological forecasts from which we can approximately estimate the duration and total depth of the event.	en
heal.journalName	19th General Assembly of the European Geophysical Society	en