Low-EFFourth: A computational framework for generating and studying multilevel model ensembles in low-dimensional systems

TL;DR

Low-EFFourth (LEF4) is a MATLAB framework for creating and analyzing multilevel model ensembles in low-dimensional continuous dynamical systems, aiding uncertainty quantification across various scientific fields.

Contribution

The paper presents LEF4, a versatile computational framework for multilevel ensemble generation and analysis, originally for climate modeling but adaptable to other disciplines.

Findings

Efficient generation of multilevel model ensembles.

Flexible analysis of uncertainties in dynamical systems.

Applicable across climate, epidemiology, economics, and engineering.

Abstract

This paper introduces Low-EFFourth (LEF4), a MATLAB-based computational framework designed for generating and studying multilevel model ensembles in continuous dynamical systems. Initially developed to address questions in climate modelling, LEF4 can also be used in other disciplines such as epidemiology, economics, and engineering, with minimal modifications to the code. The framework provides an efficient and flexible approach for investigating uncertainties arising from initial conditions, model parameters, numerical methods, and model formulation. This preprint serves as a formal reference for the LEF4 codebase and provides a concise technical and conceptual overview of its purpose, structure, applications and development pipeline.