Open AccessPerformance of the Taiwan Earth System Model in Simulating Climate Variability Compared With Observations and CMIP6 Model Simulations
Author(s) -
Wang YiChi,
Hsu HuangHsiung,
Chen ChaoAn,
Tseng WanLing,
Hsu PeiChun,
Lin ChengWei,
Chen YuLuen,
Jiang LiChiang,
Lee YuChi,
Liang HsinChien,
Chang WenMing,
Lee WeiLiang,
Shiu CheinJung
Publication year - 2021
Publication title -
journal of advances in modeling earth systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.03
H-Index - 58
ISSN - 1942-2466
DOI - 10.1029/2020ms002353
Subject(s) - climatology , climate model , coupled model intercomparison project , environmental science , precipitation , shortwave radiation , diurnal cycle , shortwave , meteorology , teleconnection , terrain , atmospheric sciences , climate change , geology , radiative transfer , geography , radiation , oceanography , physics , cartography , quantum mechanics
This study evaluates the performance of the Taiwan Earth System Model version 1 (TaiESM1) in simulating the observed climate variability in the historical simulation of the Coupled Model Intercomparison Phase 6 (CMIP6). TaiESM1 is developed on the basis of the Community Earth System Model version 1.2.2, with the inclusion of several new physical schemes and improvements in the atmosphere model. The new additions include an improved triggering function in the cumulus convection scheme, a revised distribution‐based formula in the cloud fraction scheme, a new aerosol scheme, and a unique scheme for three‐dimensional surface absorption of shortwave radiation that accounts for the influence of complex terrains. In contrast to the majority of model evaluation processes, which focus mainly on the climatological mean, this evaluation focuses on climate variability parameters, including the diurnal rainfall cycle, precipitation extremes, synoptic eddy activity, intraseasonal fluctuation, monsoon evolution, and interannual and multidecadal atmospheric and oceanic teleconnection patterns. A series of intercomparisons between the simulations of TaiESM1 and CMIP6 models and observations indicate that TaiESM1, a participating model in CMIP6, can realistically simulate the observed climate variability at various time scales and are among the leading CMIP6 models in terms of many key climate features.