Optimisation of ICON-CLM for the EURO-CORDEX domain: developments, sensitivities, tuning

作者：Beate Geyer, Angelo Campanale, Evgenii Churiulin, Hendrik Feldmann, Klaus Goergen, Stefan Hagemann, Ha Thi Minh Ho-Hagemann, M. M. Karadan, Klaus Keuler, Pavel Khain, Divyaja Lawand, Patrick Ludwig, Vera Maurer, Sergei Petrov, Stefan Poll, Christopher Purr, Emmanuele Russo, Martina Schubert‐Frisius, Jan-Peter Schulz, Shweta Singh, Christian Steger, Heimo Truhetz, Andreas Will · 发表于：Geoscientific model development · 年份：2026 · DOI：10.5194/gmd-19-5439-2026 · 被引用次数：1 · 研究领域：Climate variability and models、Meteorological Phenomena and Simulations、Atmospheric aerosols and clouds

Abstract. Optimising the model performance to reduce model biases is a challenging task in global and regional climate modelling, especially relevant for free-running climate change simulations. This challenge is addressed in the present study through a systematic regional climate model tuning strategy using a novel methodology, which includes an iterative update of the reference configuration and combines expert judgement with objective tuning using a Linear Meta-Model optimisation (LiMMo) to derive an optimised model configuration. We applied this methodology to the regional climate model ICON-CLM setup over Europe at 12 km grid size (EURO-CORDEX domain) in order to reduce, e.g., the overestimation of incoming solar radiation and too low 2 m temperature. During this process, the sensitivity of the model to changes of 29 model parameters and their physical consistency was tested and investigated. Comparing the results of optimisation by expert judgement with those of LiMMo showed that the latter not only confirmed the expert judgement by focusing on a priori known highly sensitive parameters, but also allowed for fine-tuning of the model configuration with explicit control over the tuning process, making parameter combinations more efficient. With reference to the default ICON numerical weather prediction configuration, the model optimisation yielded significant improvements for a real climate mode simulations use case. For example, biases in incoming short wave radiation co...