Source data and scripts for publication "A Systematic Atmospheric Parameter Optimization method to Improve ENSO Simulation in the ICON XPP Earth System Model"

Read full text
Authors: Dakuan Yu, Dietmar Dommenget, Holger Pohlmann, Wolfgang Müller
Cited by: 0

Abstract

These source data and scripts contain the complete source data and analysis scripts required to reproduce the optimisation results presented in the manuscript submitted to submitted to Geophysical Model Development, the preprint link for the paper is https://egusphere.copernicus.org/preprints/2026/egusphere-2025-5736/ Key contents include: script_optimization.zip contains the matlab script to optimize ENSO metrics from emsemble parameters experiments parameters_sensitivities.zip contains the atmosphere-only and coupled runs' parameters sensitivities, calculated by script_optimization raw_ENSO_metrics_data.zip contains the raw ENSO metrics results data in atmosphere-only and coupled runs. ENSO metrics package, which is the v1.1.3 version of master reposity in ENSO metrics github: https://github.com/CLIVAR-PRP/ENSO_metrics/tree/master# observation data used in this study

Fields of Study & Subjects

Climate variability and models Meteorological Phenomena and Simulations Oceanographic and Atmospheric Processes

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
12 February 2026
Language
EN
Document type
Dataset