Prospects of constraining internal variability for multi-annual to multi-decadal predictions in a perfect-model framework

Initialized climate prediction systems provide forecasts on seasonal-to-decadal timescales, but their high computational cost has motivated the development of computationally cheaper alternatives such as analog-based approaches. Recent studies suggest

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Published
2025-10-02
DOI
https://doi.org/10.22541/essoar.175941662.20487195/v1
Primary Topic
Climate variability and models
Type
article
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article

Prospects of constraining internal variability for multi-annual to multi-decadal predictions in a perfect-model framework

Anna A. Sörensson, Leandro B. Díaz, Pep Cos, Markus G. Donat et al.
Climate variability and models
article

Prospects of constraining internal variability for multi-annual to multi-decadal predictions in a perfect-model framework

Anna A. Sörensson, Leandro B. Díaz, Pep Cos, Markus G. Donat, Raül Marcos-Matamoros, Francisco Doblas-Reyes
article en

Abstract

Initialized climate prediction systems provide forecasts on seasonal-to-decadal timescales, but their high computational cost has motivated the development of computationally cheaper alternatives such as analog-based approaches. Recent studies suggest

Institució Catalana de Recerca i Estudis Avançats (ES), Consejo Nacional de Investigaciones Científicas y Técnicas (AR), Universidad de Buenos Aires (AR), Barcelona Supercomputing Center (ES), Cyprus Institute of Marketing (CY), Universitat de Barcelona (ES), Universitat Politècnica de Catalunya (ES)
Openalex Percentile: Top 74%
Climate variability and models
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