Abstract
BackgroundA new coupled global climate model (CGCM) has been developed at the Center of Excellence for Climate Change Research (CECCR), King Abdulaziz University (KAU), known as Saudi-KAU CGCM.PurposeThe main aim of the model development is to generate seasonal to subseasonal forecasting and long-term climate simulations.MethodsThe Saudi-KAU CGCM currently includes two atmospheric dynamical cores, two land components, three ocean components, and multiple physical parameterization options. The component modules and parameterization schemes have been adopted from different sources, and some have undergone modifications at CECCR. The model is characterized by its versatility, ease of use, and the physical fidelity of its climate simulations, in both idealized and realistic configurations. A description of the model, its component packages, and parameterizations is provided.ResultsResults from selected configurations demonstrate the model’s ability to reasonably simulate the climate on different time scales. The coupled model simulates El Niño-Southern Oscillation (ENSO) variability, which is fundamental for seasonal forecasting. It also simulates Madden-Julian Oscillation (MJO)-like disturbances with features similar to observations, although slightly weaker.ConclusionsThe Saudi-KAU CGCM ability to simulate the ENSO and the MJO suggests that it is capable of making useful predictions on subseasonal to seasonal timescales.
Highlights
Global climate models (GCMs) are effectively the most practical means of studying climate, climate change, and of making climate predictions on both global and regional scales (Molteni 2003; Wu et al 2010; Kucharski et al 2013, and many others)
The Saudi-King Abdulaziz University (KAU) coupled global climate model (CGCM) ability to simulate the El Nino-Southern Oscillation (ENSO) and the Madden-Julian Oscillation (MJO) suggests that it is capable of making useful predictions on subseasonal to seasonal timescales
The Saudi-KAU coupled global climate model is introduced to the community as a new resource tool for climate research
Summary
Results from selected configurations demonstrate the model’s ability to reasonably simulate the climate on different time scales. The coupled model simulates El Nino-Southern Oscillation (ENSO) variability, which is fundamental for seasonal forecasting. NAAM Research Group, Faculty of Science, King Abdulaziz University, Jeddah, Saudi Arabia. International Pacific Research Center, School of Ocean and Earth Science and Technology, University of Hawaii at Manoa, Honolulu, USA. Earth System Physics Section, International Center for Theoretical Physics (ICTP), Trieste, Italy. Department of Applied Physics and Applied Mathematics, Columbia University, New York, USA
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