REMO2020: a modernized modular regional climate model

作者：Joni‐Pekka Pietikäinen, Kevin Sieck, Lars Buntemeyer, Thomas Frisius, Christine Nam, Peter Hoffmann, Christina Pop, Diana Rechid, Daniela Jacob · 年份：2025 · DOI：10.5194/egusphere-2025-1586 · 被引用次数：3 · 研究领域：Climate variability and models

Abstract. This paper introduces REMO2020, a modernized version of the well-known and widely used REMO regional climate model. REMO2020 has undergone fundamental changes in its code structure to provide a more modular, operationally focused design, facilitating the inclusion of new components and updates. Here, we describe the default configuration of REMO2020, which includes the following updates compared to the previous version REMO2015: (i) FLake lake model; (ii) state-of-the-art MACv2-SP aerosol climatology; (iii) newly developed 3-layer snow module; (iv) a prognostic precipitation scheme; (v) an updated time filter; and (vi) a new tuning approach. Additionally, we describe some optional modules that can be activated separately, such as the interactive MOsaic based VEgetation model iMOVE. REMO2020 outperforms the previous REMO version in almost all areas used to evaluate the European climate. The persistent warm temperature bias over Central Europe and the cold temperature bias over Northern Europe have been significantly reduced in REMO2020. Similarly, the previously modeled dry bias areas in Central Europe are almost entirely gone, and the wet bias areas in Eastern Europe have less extensive precipitation. The precipitation distribution in REMO2020 is much more realistic, especially in terms of heavy precipitation extremes. Statistically, REMO2020 aligns better with long-term measurements than older versions. Mountainous areas still present a challenge in REMO2020, espec...