
%0 Journal Article
%A Hudson, Debra 
%A Alves, Oscar 
%A Hendon, Harry H. 
%A Lim, Eun-Pa 
%A Liu, Guoqiang 
%A Luo, Jing-Jia 
%A MacLachlan, Craig 
%A Marshall, Andrew G. 
%A Shi, Li 
%A Wang, Guomin 
%A Wedd, Robin 
%A Young, Griffith 
%A Zhao, Mei 
%A Zhou, Xiaobing 
%T ACCESS-S1 The new Bureau of Meteorology multi-week to seasonal prediction system
%J Journal of Southern Hemisphere Earth Systems Science
%D 2017/12/01
%V 67
%N 3
%P 132-159
%K 
%R https://doi.org/10.1071/ES17009
%U https://www.publish.csiro.au/paper/ES17009 
%X ACCESS-S1 will be the next version of the Australian Bureau of Meteorology's seasonal prediction system, due to become operational in early 2018. The multiweek and seasonal performance of ACCESS-S1 has been evaluated based on a 23-year hindcast set and compared to the current operational system, POAMA. The system has considerable enhancements compared to POAMA, including higher vertical and horizontal resolution of the component models and state-ofthe-art physics parameterisation schemes. ACCESS-S1 is based on the UK Met Office GloSea5-GC2 seasonal prediction system, but has enhancements to the ensemble generation strategy to make it appropriate for multi-week forecasting, and a larger ensemble size.ACCESS-S1 has markedly reduced biases in the mean state of the climate, both globally and over Australia, compared to POAMA. ACCESS-S1 also better predicts the early stages of the development of the El Ni&#xf1;o Southern Oscillation (through the predictability barrier) and the Indian Ocean Dipole, as well as multi-week variations of the Southern Annular Mode and the Madden-Julian Oscillation &#x2014; all important drivers of Australian climate variability. There is an overall improvement in the skill of the forecasts of rainfall, maximum temperature (Tmax) and minimum temperature (Tmin) over Australia on multi-week timescales compared to POAMA. On seasonal timescales the differences between the two systems are generally less marked. ACCESS-S1 has improved seasonal forecasts over Australia for the austral spring season compared to POAMA, with particularly good forecast reliability for rainfall and Tmax. However, forecasts of seasonal mean Tmax are noticeably less skilful over eastern Australia for forecasts of late autumn and winter compared to POAMA.The study has identified scope for improvement of ACCESS-S in the future, particularly 1) reducing rainfall errors in the Indian Ocean and Maritime Continent regions, and 2) initialising the land surface with realistic soil moisture rather than climatology. The latter impacts negatively on the skill of the temperature forecasts over eastern Australia and is being addressed in the next version of the system, ACCESS-S2. 
