RT Journal Article
T1 S(4)CAST v2.0: sea surface temperature based statistical seasonal forecast model
A1 Suárez Moreno, Roberto
A1 Rodríguez De Fonseca, María Belén
AB Sea surface temperature is the key variable when tackling seasonal to decadal climate forecasts. Dynamical models are unable to properly reproduce tropical climate variability, introducing biases that prevent a skillful predictability. Statistical methodologies emerge as an alternative to improve the predictability and reduce these biases. In addition, recent studies have put forward the non-stationary behavior of the teleconnections between tropical oceans, showing how the same tropical mode has different impacts depending on the considered sequence of decades. To improve the predictability and investigate possible teleconnections, the sea surface temperature based statistical seasonal foreCAST model (S4CAST) introduces the novelty of considering the non-stationary links between the predictor and predictand fields. This paper describes the development of the S4CAST model whose operation is focused on studying the impacts of sea surface temperature on any climaterelated variable. Two applications focused on analyzing the predictability of different climatic events have been implemented as benchmark examples.
PB Copernicus Gesellschaft MBH
SN 1991-959X
YR 2015
FD 2015
LK https://hdl.handle.net/20.500.14352/35102
UL https://hdl.handle.net/20.500.14352/35102
LA eng
NO © Author(s) 2015. The research leading to these results received funding from the PREFACE-EU project (EU FP7/2007-2013) under grant agreement no. 603521, Spanish national project MINECO (CGL2012-38923-C02-01) and the VR: 101/11 project from the VIII UCM Call for Cooperation and Development projects. We also appreciate the work done by SOURCEFORGE.NET® staff in creating NetCDF libraries for MATLAB®, and of course, thanks also to the reviewers, editors and their advice and/or criticism.
NO Unión Europea. FP7
NO Ministerio de Economía y Competitividad (MINECO)
NO VIII UCM Call for Cooperation and Development
DS Docta Complutense
RD 22 abr 2025