Skip to main navigation Skip to search Skip to main content

Saudi-KAU Coupled Global Climate Model: Description and Performance

  • Mansour Almazroui*
  • , Osama Tayeb
  • , Abdulfattah S. Mashat
  • , Ahmed Yousef
  • , Yusuf A. Al-Turki
  • , M. Adnan Abid
  • , Abdullah O. Bafail
  • , M. Azhar Ehsan
  • , Adnan Zahed
  • , M. Ashfaqur Rahman
  • , Abduallah M. Mohorji
  • , In Sik Kang
  • , Amin Noaman
  • , Mohamed Omar
  • , Abdullah M. Al-roqi
  • , K. Ammar
  • , Abdullah S. Al-Ghamdi
  • , M. A.A. Hussein
  • , Iyad Katib
  • , Enda O’Brien
  • Naif R. Aljohani, M. Nazrul Islam, Ahmed Alsaedi, Young Min Yang, Abdulrahman K. Alkhalaf, Muhammad Ismail, Abdulwahab Mashat, Fred Kucharski, Mazen Assiri, Salem Ibrahim, Michael Tippett, Irfan Ur Rashid, Shahzad Kamil, Adel Alahmadi, Rana M. Atif, Mohammed A. Bajunaid, Ahmed S. Hantoush
*Corresponding author for this work
  • King Abdulaziz University
  • University of Jeddah
  • University of Hawai'i at Mānoa
  • Abdus Salam International Centre for Theoretical Physics
  • Columbia University

Research output: Contribution to journalJournal articlepeer-review

Abstract

Background: 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. Purpose: The main aim of the model development is to generate seasonal to subseasonal forecasting and long-term climate simulations. Methods: 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: 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. Conclusions: 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.

Original languageEnglish
Article number7
JournalEarth Systems and Environment
Volume1
Issue number1
DOIs
StatePublished - 2017.06.1

Keywords

  • Climate simulations
  • ENSO
  • MJO
  • Model performance
  • Saudi Arabia
  • Saudi-KAU CGCM

Fingerprint

Dive into the research topics of 'Saudi-KAU Coupled Global Climate Model: Description and Performance'. Together they form a unique fingerprint.

Cite this