Exploring Global Climate Model Downscaling Based on Tile-Level Output

• DOI: 10.1175/jamc-d-21-0265.1
• Publication Date: 2022-11-30T20:31:34Z
• Authors: Lualawi Mareshet ...; Luke Grant; Wim Thiery
• Keywords: Land Cover

Abstract Statistical and dynamical modeling techniques are used to downscale global climate model (GCM) outputs practical resolutions for local- or regional-scale applications. Current do not incorporate the effects of land-use land-cover changes, although research has shown that such changes can substantially affect locally. Here, we explore a new downscaling technique uses tile-level GCM provided under phase 6 Coupled Model Intercomparison Project (CMIP6). The method, tile (LTD), spatially locates by mapping them corresponding classes in high-resolution maps. Furthermore, it applies an elevation-based correction account effect topography on local climate. LTD is applied near-surface temperature from Community Earth System Model, version 2 (CESM2) U.K. 1 (UKESM1), surface output CESM2 evaluated against observations. In comparison with grid-averaged control data, show overall bias reduction consistent. Moreover, performs better air data than areas dominated primary/secondary land crops urban land. This could arise simplifications methods, like reclassification simplified lapse rate estimates. However, difference response between two variables types implies biases also stem structural features involved estimating their outputs. supported differences grid average models same reconstructed Therefore, thorough evaluation quality recommended.