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dc.contributor.authorSrinivas, K.
dc.contributor.authorRevichandran, C.
dc.contributor.authorDineshKumar, P.K.
dc.date.accessioned2006-09-20T11:27:34Z
dc.date.available2006-09-20T11:27:34Z
dc.date.issued2003
dc.identifier.citationIndian Journal of Marine Sciences, vol.32(4), 285-293p.
dc.identifier.urihttp://drs.nio.org/drs/handle/2264/414
dc.description.abstractThree different statistical forecasting techniques - autoregressive, sinusoidal and exponentially weighted moving average (EWMA) were used to forecast monthly values of meteorological and oceanographic (met-ocean) parameters viz. sea surface temperature (SST), air temperature, atmospheric pressure, wind speed, rainfall, relative density and sea level, in the Cochin estuarine system. The EWMA technique (which yields forecast with a lead time of only one month) gave the lowest root mean square errors relative to the verifying observations. Atmospheric pressure could be forecast with less than 5% of error while SST and air temperature with less than 10% of error, by all the three techniques. 80% of the time, sea level could be forecast with less than 10% error, by each of the three techniques. However, wind speed, relative density and rainfall could not be forecast by any of the three techniques with any acceptable degree of accuracy.
dc.format.extent316615 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherNISCAIR, CSIR
dc.rightsThis digital version of the paper hosted with the permission from IJMS/NISCAIR. http://www.niscair.res.in
dc.subjectsea surface temperature
dc.subjectEWMA
dc.titleStatistical forecasting of met-ocean parameters in the Cochin estuarine system, southwest coast of India
dc.typeJournal Article


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