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 | 267 | 2015 |
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 | 160 | 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, 1613-1650, 2019 | 131 | 2019 |
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 | 119 | 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, 753-773, 2017 | 68 | 2017 |
ACCESS-S2: the upgraded Bureau of Meteorology multi-week to seasonal prediction system R Wedd, O Alves, C de Burgh-Day, C Down, M Griffiths, HH Hendon, ... Journal of Southern Hemisphere Earth Systems Science 72 (3), 218-242, 2022 | 41 | 2022 |
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, 1009-1029, 2017 | 36 | 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, 891-907, 2017 | 23 | 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 | 23 | 2009 |
Evaluation of the ACCESS-S1 hindcasts for prediction of Victorian seasonal rainfall EP Lim, H Hendon, D Hudson, M Zhao, O Alves, L Shi, G Young Australian Bureau of Meteorology, 2016 | 20 | 2016 |
Performance of ACCESS‐S1 for key horticultural regions D Hudson, L Shi, O Alves, M Zhao, H Hendon, G Young Mon. Wea. Rev 125, 809-818, 2017 | 17 | 2017 |
Predictability of sea surface temperature anomalies at the eastern pole of the Indian Ocean Dipole—using a convolutional neural network model M Feng, F Boschetti, F Ling, X Zhang, JR Hartog, M Akhtar, L Shi, ... Frontiers in Climate 4, 925068, 2022 | 15 | 2022 |
Tropical forcing of Australian extreme low minimum temperatures in September 2019 EP Lim, HH Hendon, L Shi, C de Burgh-Day, D Hudson, A King, B Trewin, ... Climate Dynamics 56 (11), 3625-3641, 2021 | 10 | 2021 |
The ocean reanalyses intercomparison project (ORA-IP). vol. 8, issue sup1, pp. s80-s97 MA Balmaseda, F Hernandez, A Storto, MD Palmer, O Alves, L Shi, ... J Oper Oceanogr, 2015 | 10 | 2015 |
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, 313-324, 2011 | 9 | 2011 |
Dynamical seasonal prediction of tropical Indo-Pacific SST and Australian rainfall with improved ocean initial conditions EP Lim, O Alves, HH Hendon, D Hudson, L Shi, G Wang, Y Yin, M Zhao Centre for Australian Weather and Climate Research, 2010 | 9 | 2010 |
Climate data and their characterisation for hydrological and agricultural scenario modelling across the Fitzroy, Darwin and Mitchell catchments S Charles, C Petheram, A Berthet, G Browning, G Hodgson, M Wheeler, ... CSIRO, Australia, 2016 | 8 | 2016 |
Comparison of GloSea5-GC2 skill with POAMA-2 for key horticultural regions L Shi, D Hudson, O Alves, G Young, C MacLachlan Rae 3301, 3311, 2016 | 7 | 2016 |
Seasonal and decadal prediction O Alves, D Hudson, M Balmaseda, L Shi Operational oceanography in the 21st century, 513-542, 2011 | 6 | 2011 |
Forecasting upcoming extreme heat on multi-week to seasonal timescales: POAMA experimental forecast products D Hudson, O Alves, AG Marshall, L Shi, G Young Australian Bureau of Meteorology, 2015 | 5 | 2015 |