Li Shi
TitleCited byYear
The ocean reanalyses intercomparison project (ORA-IP)
MA Balmaseda, F Hernandez, A Storto, MD Palmer, O Alves, L Shi, ...
Journal of Operational Oceanography 8 (sup1), s80-s97, 2015
How predictable is the Indian Ocean dipole?
L Shi, HH Hendon, O Alves, JJ Luo, M Balmaseda, D Anderson
Monthly Weather Review 140 (12), 3867-3884, 2012
Intercomparison and validation of the mixed layer depth fields of global ocean syntheses
T Toyoda, Y Fujii, T Kuragano, M Kamachi, Y Ishikawa, S Masuda, K Sato, ...
Climate Dynamics 49 (3), 753-773, 2017
An assessment of ten ocean reanalyses in the polar regions
P Uotila, H Goosse, K Haines, M Chevallier, A Barthélemy, C Bricaud, ...
Climate Dynamics 52 (3-4), 1613-1650, 2019
ACCESS-S1: the new Bureau of Meteorology multi-week to seasonal prediction system
D Hudson, O Alves, HH Hendon, EP Lim, G Liu, JJ Luo, C MacLachlan, ...
Journal of Southern Hemisphere Earth Systems Science 67 (3), 132-159, 2017
The role of stochastic forcing in ensemble forecasts of the 1997/98 El Nino
L Shi, O Alves, HH Hendon, G Wang, D Anderson
Journal of Climate 22 (10), 2526-2540, 2009
An assessment of upper ocean salinity content from the Ocean Reanalyses Inter-comparison Project (ORA-IP)
L Shi, O Alves, R Wedd, MA Balmaseda, Y Chang, G Chepurin, N Ferry, ...
Climate Dynamics 49 (3), 1009-1029, 2017
Interannual-decadal variability of wintertime mixed layer depths in the North Pacific detected by an ensemble of ocean syntheses
T Toyoda, Y Fujii, T Kuragano, N Kosugi, D Sasano, M Kamachi, ...
Climate Dynamics 49 (3), 891-907, 2017
On the importance of initializing the stochastic part of the atmosphere for forecasting the 1997/1998 El Niño
L Shi, HH Hendon, O Alves, MC Wheeler, D Anderson, G Wang
Climate dynamics 37 (1-2), 313-324, 2011
Dynamical seasonal prediction of tropical Indo-Pacific SST and Australian rainfall with improved ocean initial conditions
EP Lim, HH Hendon, O Alves, Y Yin, G Wang, D Hudson, M Zhao, L Shi
Centre for Australian Weather and Climate Research (CAWCR) Tech. Rep 32, 27, 2010
Evaluation of the ACCESS-S1 hindcasts for prediction of Victorian seasonal rainfall
E Lim, H Hendon, D Hudson, M Zhao, O Alves, L Shi, G Young
Bureau of Meteorology, 2016
Performance of ACCESS-S1 for key horticultural regions
D Hudson, L Shi, O Alves, H Hendon, G Young
Bureau of Meteorology, 2017
Seasonal and decadal prediction
O Alves, D Hudson, M Balmaseda, L Shi
Operational oceanography in the 21st century, 513-542, 2011
Comparison of GloSea5-GC2 skill with POAMA-2 for key horticultural regions
L Shi, D Hudson, O Alves, G Young, C MacLachlan
Bureau of Meteorology, 2016
A coupled ensemble ocean data assimilation system for seasonal prediction and its comparison with other state-of-the-art systems
O Alves, Y Yin, L Shi, R Wedd, D Hudson, P Okely, H Hendon
EGU General Assembly Conference Abstracts 16, 2014
Forecasting upcoming extreme heat on multi-week to seasonal timescales: POAMA experimental forecast products
D Hudson, A Marshall, O Alves, L Shi, G Young
Bureau of Meteorology, 2015
Improved skill for regional climate in the ACCESS-based POAMA model
D Hudson, O Alves, L Shi, G Young
HH Hendon, L Shi, M Zhao, O Alves, Y Yin, G Wang
Centre for Australian Weather and Climate Research, GPO Box 1289, Melbourne …, 2010
A Coupled Ensemble Data Assimilation System for Seasonal Prediction in Australia
Y Yin, O Alves, D Hudson, L Shi, H Hendon
A comparison of the representation of the main modes of ocean climate variability by two state-of-the-art ocean re-analyses
L Shi, O Alves
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Articles 1–20