Journal of Southern Hemisphere Earth Systems Science (Jan 2022)

ACCESS-S2: the upgraded Bureau of Meteorology multi-week to seasonal prediction system

  • Xiaobing Zhou,
  • Yi Xiao,
  • Mei Zhao,
  • Griffith Young,
  • Yonghong Yin,
  • Hailin Yan,
  • Matthew C. Wheeler,
  • Guomin Wang,
  • Claire M. Spillman,
  • Grant Smith,
  • Paul Smith,
  • Li Shi,
  • Andrew G. Marshall,
  • Eun-Pa Lim,
  • Shuhua Li,
  • Debra Hudson,
  • Harry H. Hendon,
  • Morwenna Griffiths,
  • Christopher Down,
  • Catherine de Burgh-Day,
  • Oscar Alves,
  • Robin Wedd

Journal volume & issue
Vol. 72, no. 3
pp. 218 – 242

Abstract

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ACCESS-S2 is a major upgrade to the Australian Bureau of Meteorology’s multi-week to seasonal prediction system. It was made operational in October 2021, replacing ACCESS-S1. The focus of the upgrade is the addition of a new weakly coupled data assimilation system to provide initial conditions for atmosphere, ocean, land and ice fields. The model is based on the UK Met Office GloSea5-GC2 seasonal prediction system and is unchanged from ACCESS-S1, aside from minor corrections and enhancements. The performance of the assimilation system and the skill of the seasonal and multi-week forecasts have been assessed and compared to ACCESS-S1. There are improvements in the ACCESS-S2 initial conditions compared to ACCESS-S1, particularly for soil moisture and aspects of the ocean, notably the ocean currents. More realistic soil moisture initialisation has led to increased skill for forecasts over Australia, especially those of maximum temperature. The ACCESS-S2 system is shown to have increased skill of El Nino–Southern Oscillation forecasts over ACCESS-S1 during the challenging autumn forecast period. Analysis suggests that ACCESS-S2 will deliver improved operational forecast accuracy in comparison to ACCESS-S1. Assessments of the operational forecasts are underway. ACCESS-S2 represents another step forward in the development of seasonal forecast systems at the Bureau of Meteorology. However, key rainfall and sea surface temperature biases in ACCESS-S1 remain in ACCESS-S2, indicating where future efforts should be focused.

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