Predictability during active break phases of Indian summer monsoon in an ensemble prediction system using climate forecast system

dc.contributor.authorAbhilash S.en_US
dc.contributor.authorSahai A.K.en_US
dc.contributor.authorPattnaik S.en_US
dc.contributor.authorDe S.en_US
dc.date.accessioned2025-02-17T04:48:05Z
dc.date.issued2013
dc.description.abstractThis study examines the phase dependant temporal and spatial error evolution and prediction of active break spells of Indian summer monsoon rainfall in an ensemble prediction system (EPS) on a pentad time scale using climate forecast system (CFS). The EPS system shows systematic wet bias (overestimation) over west coast over the Arabian Sea and Myanmar coast and dry bias (underestimation) over Indian land mass even at pentad 1 lead and these biases consistently increase up to 4 pentad lead and saturate thereafter. Irrespective of the phases of the monsoon, the lower bound of predictability is 2 pentads, while upper bound of predictability for initial conditions starting from active phase saturates at 3 pentads and for break and transition phases predictability error saturates at a later stage at about 5 pentad. Initial conditions started from transition phase shows higher potential predictability followed by break phase and then active phase. � 2013 Elsevier Ltd.en_US
dc.identifier.citation8en_US
dc.identifier.urihttp://dx.doi.org/10.1016/j.jastp.2013.03.017
dc.identifier.urihttps://idr.iitbbs.ac.in/handle/2008/319
dc.language.isoenen_US
dc.subjectActive-break cycleen_US
dc.subjectEnsemble prediction systemen_US
dc.subjectExtended range predictionen_US
dc.subjectForecast erroren_US
dc.subjectPredictabilityen_US
dc.titlePredictability during active break phases of Indian summer monsoon in an ensemble prediction system using climate forecast systemen_US
dc.typeArticleen_US

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