Improving the long-lead predictability of El Niño using a novel forecasting scheme based on a dynamic components model

Climate Dynamics

Volumn 48, Issue 3-4, 2017, Pages 1249-1276

  Petrova, Desislava ^a,b   Koopman, Siem Jan ^c   Ballester, Joan ^a,d   Rodó, Xavier ^a,e  

^a Catalan Institute of Climate Sciences (IC3)   (Spain)

^b UNIVERSITY OF BARCELONA   (Spain)

^c VU UNIVERSITY AMSTERDAM   (Netherlands)

^d CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

^e INSTITUCIÓ CATALANA DE RECERCA I ESTUDIS AVANÇATS ICREA   (Spain)

Author keywords

El Ni o Southern Oscillation; Predictability; Prediction; Subsurface dynamics; Time series

Indexed keywords

CLIMATE PREDICTION; EL NINO; EL NINO-SOUTHERN OSCILLATION; NUMERICAL MODEL; STOCHASTICITY; TIME SERIES;

PACIFIC OCEAN;

EID: 84965054960     PISSN: 09307575     EISSN: 14320894     Source Type: Journal    
DOI: 10.1007/s00382-016-3139-y     Document Type: Article

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