Saudi-KAU Coupled Global Climate Model: Description and Performance

作者：Mansour Almazroui, Osama S. Tayeb, Abdulfattah S. Mashat, Ahmed Yousef, Yusuf Al‐Turki, Muhammad Adnan Abid, Abdullah Bafail, Muhammad Azhar Ehsan, Adnan Hamza Mohammad Zahed, M. Ashfaqur Rahman, Abduallah M. Mohorji, In‐Sik Kang, Amin Y. Noaman, Mohamed Omar, Abdullah M. Al-roqi, K. Ammar, Abdullah Alghamdi, M.A. Hussein, Iyad Katib, Enda O’Brien, Naif Radi Aljohani, M. Nazrul Islam, Ahmed Alsaedi, Young‐Min Yang, Abdulrahman K. Alkhalaf, Muhammad Ismail, Abdul‐Wahab S. Mashat, Fred Kucharski, Mazen E. Assiri, Salem Ibrahim, Michael K. Tippett, Irfan Ur Rashid, Shahzad Kamil, Adel Alahmadi, Rana Muhammad Atif, Mohammed A. Bajunaid, Ahmed S. Hantoush · 发表于：Earth Systems and Environment · 年份：2017 · DOI：10.1007/s41748-017-0009-7 · 被引用次数：36 · 研究领域：Climate variability and models、Meteorological Phenomena and Simulations、Oceanographic and Atmospheric Processes

A 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. The main aim of the model development is to generate seasonal to subseasonal forecasting and long-term climate simulations. The 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. Results 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. The 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.