Publications related to ACCESS-S Seasonal Prediction
2026
Turning forecasts into actions: Marine heatwaves and ecosystem-wide impacts in Australian waters during the summer of 2024-25
Oceanography
Cryosphere
Climate Dynamics
Environmental Research Letters
2025
Transforming ensembles towards a target forecast with applications to seamless weather to subseasonal forecasting
Quarterly Journal of the Royal Meteorological Society
Sub-seasonal to Seasonal Prediction: Bridging the gap between weather and climate forecasts.
Progress in Oceanography
Bureau Research Report,
108
Bureau Research Report,
104
Oceanography
Improvements to the AFDRS seasonal outlook using calibrated soil moisture and grass curing forecasts
Bureau Research Report,
105
2024
Oceanography
JSHESS
Fisheries Oceanography
Frontiers in Marine Science
JSHESS
JGR ATmospheres,
129, e2024JD040820
Agricultural and Forest Meteorology
Quarterly Journal of the Royal Meteorological Society
Quarterly Journal of the Royal Meteorological Society
Bureau Research Report,
94
Journal of Applied Meteorology and Climatology
2023
Bureau Research Report,
No. 082, Bureau of Meteorology Australia
BAMS
Quarterly Journal of the Royal Meteorological Society
Bureau Research Report,
76
Tropical Cyclone Research and Review
Deep Sea Research Part II: Topical Studies in Oceanography,
209:105276
Forecast-ready models to support fisheries' adaptation to global variability and change.
Fisheries Oceanography,
113
Quantifying the benefits of altimetry assimilation in seasonal forecasts of the upper ocean.
JGR Oceans,
e2022JC019342
2022
Forecasting extreme heat events in key aquaculture regions around New Zealand.
Journal of Southern Hemisphere Earth System Science.
Bureau Research Report,
63
Climate Dynamics
Australian Journal of Emergency Management,
37(4):59-62
Horizon scan on the benefits of ocean seasonal forecasting in a future of increasing marine heatwaves for Aotearoa New Zealand.
Frontiers of Climate
Journal of Southern Hemisphere Earth System Science,
72 (3), 218-242
2021
Subseasonal prediction of the 2020 Great Barrier Reef and Coral Sea marine heatwave.
Environmental Research Letters,
Benefits of Better Ocean Weather Forecasting
Eos,
https://eos.org/features/the-benefits-of-better-ocean-weather-forecasting
Bureau Research Report,
No. 052, Bureau of Meteorology Australia
Tropical forcing of Australian extreme low minimum temperatures in September 2019.
Climate Dynamics,
Why Australia was Not Wet during Spring 2020 despite La Niña.
Scientific Reports.,
https://www.nature.com/articles/s41598-021-97690-w
The 2019 Southern Hemisphere polar stratospheric warming and its impacts.
Bulletin of the American Meteorological Society,
Seasonal forecasting skill of sea level anomalies in a multi-model prediction framework.
Journal of Geophysical Research: Oceans.
Subseasonal drivers of extreme fire weather in Australia and its prediction in ACCESS-S1 during spring and summer.
Climate Dynamics.
Influence of the Madden-Julian Oscillation on multiweek prediction of Australian rainfall extremes using the ACCESS-S1 prediction system.
Journal of Southern Hemisphere Earth Systems Science.
Frontiers in Marine Science
Onset and decline rates of marine heatwaves: global trends, seasonal forecasts and marine management.
Frontiers of Marine Science
2020
Improving the seasonal prediction of Northern Australian rainfall onset to help with grazing management decisions
Climate Services
Bureau Research Report,
No. 42. Bureau of Meteorology Australia
Impact of interannual ozone variations on the downward coupling of the 2002 Southern Hemisphere stratospheric warming.
Journal of Geophysical Research,
Atmospheres, 125, e2020JD032952.
Sub-seasonal to seasonal prediction of rainfall extremes in Australia.
Quarterly Journal of the Royal Meteorological Society
Bureau Research Report,
No. 43. Bureau of Meteorology Australia
Impacts of the Madden-Julian Oscillation on wintertime Australian minimum temperatures and Southern Hemisphere circulation.
Climate Dynamics,
2019
Forecasting the extreme rainfall, low temperatures, and strong winds associated with the northern Queensland floods of February 2019.
Weather Clim. Extrem.,
26, 100232,
Rare forecasted climate event under way in the Southern Hemisphere
On determining the impact of increasing atmospheric CO2 on the record fire weather in eastern Australia in February 2017
Bull. Amer. Meteor. Soc.,
99 (12) https://journals.ametsoc.org/doi/pdf/10.1175/BAMS-D-18-0135.1
Influence of the QBO on MJO prediction skill in the subseasonal-to-seasonal prediction models
Climate Dynamics
New high-resolution sea surface temperature forecasts for coral reef management on the Great Barrier Reef.
Coral Reefs.
Compounding tropical and stratospheric forcing of the record low Antarctic sea-ice in 2016.
Nature communications,
10(1), p.13
On the soil moisture memory and influence on coupled seasonal forecasts over Australia.
Climate Dynamics,
Vol. 52, No. 11, pp7085-7109
Ensemble forecasting of monthly and seasonal reference crop evapotranspiration based on global climate model outputs.
Agricultural and Forest Meteorology,,
264, 114-124
2018
Predicting seasonal ocean variability around New Zealand using a coupled ocean-atmosphere model.
New Zealand Journal of Marine and Freshwater Research
A Framework for Combining Seasonal Forecasts and Climate Projections to Aid Risk Management for Fisheries and Aquaculture.
Frontiers in Marine Science
The effect of increasing CO2 on the extreme September 2016 rainfall across south eastern Australia
Bull. Amer. Meteor. Soc.,
99 (1), S133-138 https://journals.ametsoc.org/doi/pdf/10.1175/BAMS-D-17-0094.1
Skilful multiweek tropical cyclone prediction in ACCESS‐S1 and the role of the MJO.
Quarterly Journal of the Royal Meteorological Society,
K
Multimodel Prediction Skills of the Somali and Maritime Continent Cross-Equatorial Flows.
Journal of Climate,
31(6), pp.2445-2464
Multi-week prediction of the Madden-Julian oscillation with ACCESS-S1.
Climate Dynamics,
pp.1-16
Predicting optimum crop designs using crop models and seasonal climate forecasts.
Scientific Reports,
8(1), 2231
Dynamics and predictability of the El Niño-Southern Oscillation: An Australian perspective on progress and challenges.
Bulletin of the American Meteorological Society,
(2018)
2017
Seasonal forecasting of dolphinfish distribution in eastern Australia to aid recreational fishers and managers.
Deep Sea Research Part II: Topical Studies in Oceanography.
Front. Earth Sci.,
5:28. doi: 10.3389/feart.2017.00028
A Synthesis of Findings from the Victorian Climate Initiative.
Bureau of Meteorology,
(available from: http://www.bom.gov.au/research/projects/vicci/)
ACCESS-S1: The new Bureau of Meteorology multi-week to seasonal prediction system.
Journal of Southern Hemisphere Earth Systems Science,
67:3 132-159 doi: 10.22499/3.6703.001
Bureau Research Report,
No. 20. Bureau of Meteorology Australia
Causes and predictability of the negative Indian Ocean Dipole and its impact on La Niña during 2016
Scientific reports,
7 (1), 12619 https://www.nature.com/articles/s41598-017-12674-z
Inter-basin sources for two-year predictability of the multi-year La Niña event in 2010–2012
Scientific Reports 7, Article number: 2276 (2017).
Climate Dynamics,
49(1-2), pp.97-112. DOI: 10.1007/s00382-016-3328-8
Impact of the quasi-biennial oscillation on predictability of the MaddenJulian oscillation.
Climate Dynamics,
49(4), pp.1365-1377
Managing living marine resources in a dynamic environment: the role of seasonal to decadal climate forecasts.
Progress in Oceanography,
152: 15-49
Intercomparison and validation of the mixed layer depth fields of global ocean syntheses,
Climate Dynamics,,
49: 753-773. doi: 10.1007/s00382-015-2637-7
Interannual-decadal variability of wintertime mixed layer depths in the North Pacific detected by an ensemble of ocean syntheses.
Climate Dynamics,,
49: 891-907. doi: 10.1007/s00382-015-2762-3
Steric sea level variability (19932010) in an ensemble of ocean reanalyses and objective analyses,
Climate Dynamics,,
49: 709-729. doi: 10.1007/s00382-015-2554-9
An assessment of airsea heat fluxes from ocean and coupled reanalyses,
Climate Dynamics,,
49: 983-1008. doi: 10.1007/s00382-015-2843-3
The subseasonal to seasonal (S2S) prediction project database.
Bulletin of the American Meteorological Society,
98(1), pp.163-173
Why 2015 was a strong El Niño and 2014 was not.
Geophysical Research Letters,
44(16), pp.8567-8575
Quart. J. Roy. Meteor. Soc.,
doi:10.1002/qj.2928
J. Appl. Meteor. Climatol.,
doi:10.1175/JAMC-D-16-0284.1
Bureau Research Report,
No. 23. Bureau of Meteorology Australia
Effects of the changing heating profile associated with melting layers in a climate model.
Quarterly Journal of the Royal Meteorological Society,
143(709), pp.3110-3121
2016
Journal of Applied Meteorology and Climatology,
55:1565-1578, DOI: 10.1175/JAMC-D-15-0109.1
Seasonal forecasting for decision support in marine fisheries and aquaculture.
Fisheries Oceanography,
25(S1): 45-56
Bureau Research Report,
No. 16. Bureau of Meteorology, Australia
Forewarned is forearmed: Extended range forecast guidance of recent extreme heat events in Australia.
Weather and Forecasting,
31:3, 697-711. DOI: http://dx.doi.org/10.1175/WAF-D-15-0079.1
Climate Dynamics,
pp 1-19, DOI:10.1007/s00382-015-2963-9
Bureau Research Report,
No. 19. Bureau of Meteorology, Australia
On the role of anomalous ocean surface temperatures for promoting the record Madden-Julian Oscillation in March 2015.
Geophys. Res. Lett.,
43, 472-481
Geophys. Res. Lett.,
doi: 10.1002/2016GL071423
Clim. Dyn.,
doi: 10.1007/s00382-016-3392-0
An assessment of upper ocean salinity content from the Ocean Reanalyses Inter comparison Project (ORA IP),
Clim. Dyn.,
DOI 10.1007/s00382-015-2868-7
Bureau Research Report,
No. 13. Bureau of Meteorology, Australia
Downscaling and extrapolating dynamical seasonal marine forecasts for coastal ocean users.
Ocean Modelling,
100:20-30, doi:10.1016/j.ocemod.2016.01.004
Weakened Eastern Pacific El Niño Predictability in the Early Twenty-First Century.
Journal of Climate.,
Vol. 29, No. 18, 6805-6822. DOI: 10.1175/JCLI-D-15-0876.1
Variations of upper-ocean salinity associated with ENSO from PEODAS reanalyses.
Journal of Climate,
Vol. 29, No. 6, 2077-2094. DOI: 10.1175/JCLI-D-15-0650.1
2015
Seasonal Forecasting for Australia using a Dynamical Model: Improvements in Forecast Skill over the Operational Statistical Model.
Australian Meteorological and Oceanographic Journal,
65(3):356-375
The Ocean Reanalyses Intercomparison Project (ORA-IP)
J.O.O,
8, sup1, 8097, 2015
Seasonal forecasting of tuna habitat in the Great Australian Bight.
Fisheries Research,
Vol 170, pp. 39-49
Bureau Research Report,
No. 11. Bureau of Meteorology, Australia
Contributors to the record high temperatures across Australia in late spring 2014
Bull. Amer. Met. Soc.,
96 (12), S149-S153
Bureau Research Report,
No. 1. Bureau of Meteorology, Australia
Clim. Dyn.,
44, 2807-2824, DOI:10.1007/s00382-014-2400-5
J. Clim.,
28, 28042822
Subseasonal Prediction of Australian Summer Monsoon Anomalies.
Geophys. Res. Lett.,
42, 10913-10919
Seasonal Prediction of Western Pacific Sea-level using a Coupled Ocean-Atmosphere Dynamical Model,
Geophysical Research Letters,
42, 67476753, doi:10.1002/2015GL065091
Can seasonal forecast minimise the threats of climate variability to achieve profitable crop-livestock productions in NSW.
Proceedings of the 17th ASA Conference,
2024 September 2015, Hobart, Australia (available at www.agronomy2015.com.au)
Seamless Precipitation Prediction Skill in the Tropics and Extratropics.
Predicting environmental drivers for prawn aquaculture production to aid improved farm management.
Aquaculture,
447:56-65
Clim Dyn,
DOI 10.1007/s00382-015-2637-7
Argo Real-Time Data Quality Control Intercomparison
J.O.O.,
8 (2), 108-122, 2015
Bureau Research Report,
No. 10. Bureau of Meteorology, Australia
2014
Understanding Australia's hottest September on record.
Bull. Amer. Met. Soc.,
95 (9), S37-S41, (with Supplementary Material)
Journal of Geophysical Research: Atmospheres,
119(22) 12-546
Predicting the onset of the north Australian wet season with the POAMA dynamical prediction system.
Wea. Forecasting,
29, 150-161
Seasonal forecasting for decision support in marine fisheries and aquaculture.
Fisheries Oceanography,
in press
Interdecadal change in the Northern Hemisphere seasonal climate prediction skill: part II. predictability and prediction skill.
Climate Dynamics,
43, 1611-1630, DOI: 10.1007/s00382-014-2084-x
Simulation and prediction of blocking in the Australian region and its influence on intra-seasonal rainfall in POAMA-2.
Clim. Dyn.,,
42, 3271-3288, DOI: 10.1007/s00382-013-1974-7
Intra-seasonal drivers of extreme heat over Australia in observations and POAMA-2.
Climate Dynamics,,
43, 1915-1937, DOI: 10.1007/s00382-013-2016-1
Seasonal Prediction of Global Sea-Level Anomalies using an Ocean-Atmosphere Dynamical Model.
Climate Dynamics,,
DOI: 10.1007/s00382-013-2039-7
Predicting environmental drivers for prawn aquaculture production to aid improved farm management.
Aquaculture,
in press
Dynamical seasonal ocean forecasts to aid salmon farm management in a climate hotspot.
Climate Risk Management,,
1:25-38
Impact of Improved Assimilation of Temperature and Salinity for Coupled Model Seasonal Forecasts.
Climate Dynamics,,
Vol. 42, No.9, 2565-2583. DOI: 10.1007/s00382-014-2081-0
Seamless precipitation prediction skill in the tropics and extratropics from a global model.
Monthly Weather Review,
142, 1556-1569
2013
Concatenated Hazards: Tsunamis, Climate Change, Tropical Cyclones and Floods. In Tsunami Events and Lessons Learned. Environmental and Societal Significance.
Advances in Natural and Technological Hazards Research,,
35, pp 255-270
Analog Downscaling of Seasonal Rainfall Forecasts in the Murray Darling Basin.
Mon. Wea. Rev.,,
141, 10991117. doi.org/10.1175/MWR-D-12-00098.1
Prediction of tropical cyclone activity with coarse resolution global climate models.
International Congress on Modelling and Simulation (John Boland and Julia Piantadosi 01 December 2013 to 06 December 2013),
(pp. 2555-2561). The Modelling and Simulation Society of Australia and New Zealand
Seasonal Forecasting in the Pacific using the coupled model POAMA-2.
Weather and Forecasting.,
doi.org/10.1175/WAF-D-12-00072.1
Seasonal Forecast Verification in the Pacific using a coupled model POAMA and the statistical.
Bull. Am. Meteror Soc,
93 631-651
Improving intraseasonal prediction with a new ensemble generation strategy.
Monthly Weather Review,
141, 4429-4449, DOI: 10.1175/MWR-D-13-00059.1
J. Climate,,
26, 8037-8054
Climate Dynamics,,
DOI: 10.1007/s0038201320072
CAWCR Technical Report No. 064,
39pp
Impact of salinity constraints on the simulated mean state and variability in a coupled seasonal forecast model.
Monthly Weather Review,,
Vol. 141, No1, 388-402, DOI: 10.1175/MWR-D-11-00341.1
2012
Managing mixed wheat-sheep farms with a seasonal forecast.
Agricultural Systems,,
113, 50-56
Optimal N fertiliser management based on a seasonal forecast.
Europ. J. Agronomy,,
38, 66-73
CAWCR Technical Report No. 048
CAWCR Research Letters,,
8:10-16
J. Climate,,
vol. 25, 1278-1290
Pacific Adaptation Strategy Assistance Program: Strengthening the capacity for seasonal prediction services in Pacific countries.
Bulletin of the Australian Meteorological and Oceanographic Society,,
25:7-12
Seasonal prediction of climate extremes for the Pacific: tropical cyclones and extreme ocean temperatures.
Journal of Marine Science and Technology,,
20:675-683
CAWCR Technical Report No. 051
CAWCR Technical Report No. 056,
113-116
Simulation and prediction of the Southern Annular Mode and its influence on Australian intra-seasonal climate in POAMA.
Climate Dynamics,
38, 2483-2502, DOI: 10.1007/s00382-011-1140-z
CAWCR Research Letters,
7:10-16
Combining the strengths of statistical and dynamical modeling approaches for forecasting Australian seasonal rainfall.
J. Geophys. Res.,,
117, D20107, DOI: 10.1029/2012JD018011
How Predictable is the Indian Ocean Dipole?
Mon. Wea. Rev.,
DOI: 10.1175/MWR-D-12-00001.1, in press
Predicting thermal stress for coral bleaching in the Great Barrier Reef using a coupled ocean-atmosphere seasonal forecast model.
International Journal of Climatology,,
DOI: 10.1002/joc.3486
A comparative Analysis of Upper Ocean Heat Content Variability from an Ensemble of Operational Ocean Reanalyses,
Journal of Climate,,
DOI: http://dx.doi.org/10.1175/JCLI-D-11-00542.1
2011
Seasonal and Decadal Prediction.
A. Schiller and G. B. Brassington (Eds.), Operational Oceanography in the 21st Century, Springer.,
745pp
RAMSSA - An Operational, High-Resolution, Multi-Sensor Sea Surface Temperature Analysis over the Australian Region.
Australian Meteorological and Oceanographic Journal,,
61, 1-22
CAWCR Technical Report No. 040
Seasonal forecasting of tuna habitat for dynamic spatial management.
Canadian Journal of Fisheries and Aquatic Sciences,,
68:898-911
The impact of atmospheric initialisation on seasonal prediction of tropical Pacific SST.
Climate Dynamics.,
36:1155-1171
Bridging the Gap between Weather and Seasonal Forecasting: Intraseasonal Forecasting for Australia.
Quarterly Journal of the Royal Meteorological Society.,
137:673-689. DOI: 10.1002/qj.769
Intraseasonal forecasting of the 2009 summer and winter Australian heat waves using POAMA.
Weather and Forecasting.,
26, 257-279
CAWCR Technical Report No. 039
CAWCR Technical Report No. 031
Mon. Wea. Rev.,
vol.139, 958-975
Assessing the Simulation and Prediction of Rainfall Associated with the MJO in the POAMA Seasonal Forecast System.
Climate Dynamics.,
37, 2129-2141, DOI: 10.1007/s00382-010-0948-2
CAWCR Research Letters,
7, CAWCR, Australia
Evaluation of rainfall drivers and teleconnections in an ACCESS AMIP run.
Aust. Meteorol. Oceanographic J.,,
61, 91-95
Advances in forecasting coral bleaching conditions for reef management.
Bulletin of the American Meteorological Society,,
92:1586-1591
Operational real-time seasonal forecasts for coral reef management.
Journal of Operational Oceanography,,
4(1):13-22. Awarded the 2011 IMarEST Denny Medal (JOO)
CAWCR Research Letters,
6:34-39
Seasonal prediction of thermal stress accumulation for coral bleaching in the tropical oceans.
Monthly Weather Review,,
139:317-331
In Chan, F., Marinova, D. and Anderssen, R.S. (eds) MODSIM2011, 19th International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand, December 2011,,
pp. 2163-2169. ISBN: 978-0-9872143-1-7
Climate change and carbon threats to coral reefs: National Meteorological and ocean services as sentinels.
Bulletin of the American Meteorological Society,,
92:1581-1586
CAWCR Research Letters,
6, 40-46
Comparative analysis of upper ocean heat content variability from ensemble operational ocean analyses.
U.S. CLIVAR Variations,,
9(1), 7-10
An ensemble ocean data assimilation system for seasonal prediction.
Mon. Wea. Rev.,,
139, 786-808
2010
Climate, Carbon and Coral Reefs.
Expert brochure commissioned by the WMO for distribution at the COP-10 session of the Convention on Biological Diversity (CBD) in October 2010, Nagoya, Japan.
On the importance of initializing the stochastic part of the atmosphere for forecasting the 1997/98 El Niño.
Climate Dyn.,
(in press)
Dynamical seasonal prediction of tropical Indo-Pacific SST and Australian rainfall with improved ocean initial conditions.
CAWCR Tech. Rep. No. 032.
Prediction of the Madden-Julian Oscillation with the POAMA dynamical prediction system.
Climate Dyn.,
DOI: 10.1007/s00382-010-0754-x
CAWCR Research Letters,
4:11-19
Impact of including ocean surface currents on simulation of Indian Ocean variability with the POAMA coupled.
Climate Dyn.,
DOI: 10.1007/s00382-010-0823-1
CAWCR Technical Report No. 022
2009
Prospects for predicting two flavors of El Niño.
Geophys. Res. Lett., 36, L19713,
DOI: 10.1029/2009GL040100
Seasonal prediction of the Leeuwin Current using the POAMA dynamical seasonal forecast model.
Climate Dyn.,
DOI: 10.1007/s00382-009-0570-3
The role of stochastic forcing in ensemble forecasts of the 1997/98 El Niño.
J. Climate, 22, 2526-2540.
Dynamical forecasts of inter-El Niño variations of tropical SST and Australian springtime rainfall.
Mon.Wea. Rev., 137,3796-3810.
CAWCR Research Letters,
Issue 3, 22-29
A coupled GCM analysis of MJO activity at the onset of El Niño.
J. Atmos. Sci., 66, 966-983, doi:10.1175/2008JAS2855.1
A strategic framework for responding to coral bleaching events in a changing climate.
Journal of Environmental Management, 44:1-11.
Dynamical seasonal prediction of summer sea surface temperatures in the Great Barrier Reef.
Coral Reefs 28:197-206.
CAWCR Research Letters,
2:30-34
New Operational Seasonal SST Products for Prediction of Coral Bleaching in the Great Barrier Reef.
Bulletin of the Australian Meteorological and Oceanographic Society, 22:112-114.
Advance and prospectus of seasonal prediction: assessment of the APCC/CliPAS 14 model ensemble retrospective seasonal prediction (1980-2004), 2009.
Clim Dyn.,
33, 93-117
Representation and prediction of the Indian Ocean dipole in the POAMA seasonal forecast model.
Quart. J. Roy. Meteorol. Soc., 135, 337-352.
2008
SST skill assessment from the new POAMA-1.5 System.
BMRC Research Letter No.8
An enhanced moisture convergence-evaporation feedback mechanism for MJO air/sea interaction.
J. Atmos. Sci. Vol. 65, no. 3, pp. 970-986.
2007
Seasonal Prediction of the Leeuwin Current.
CLAVAR Exchanges, Vol. 12, No. 4.
Sensitivity of Australian rainfall to inter-El Niño variations.
Journal of Climate. Vol. 20, no. 16, pp. 4211-4226.
2006
Intrinsic coupled variability in the tropical Indian Ocean.
(in revision J. Climate).
A wavenumber-frequency spectral analysis of intraseasonal variability in the standard BMRC atmosphere general circulation model.
BMRC research report No. 122, Bur. Met. Australia.
The experimental MJO prediction project.
Bull. Amer. Meteor. Soc, April 2006.
Simulations of the Madden-Julian Oscillation in four pairs of coupled and uncoupled global models.
Climate Dynamics, 27, 573-592.
2005
Tropical Pacific ocean model error covariances from Monte Carlo simulations.
Quarterly Journal of the Royal Meteorological Society. Vol. 131, no. 613, pp. 3643-3658.
Ensemble data assimilation for an eddy-resolving ocean model of the Australian region.
Q. J. R. Meteorol. Soc.]. Vol. 131, no. 613, pp. 3301-3311.
Indian Ocean variability and its association with ENSO in a global coupled model.
J. Climate, 18, 3634-3649.
POAMA: Bureau of Meteorology operational coupled model seasonal forecast system.
Science for drought: Proceedings of the National Drought Forum, Brisbane, Apr 2003, R. Stone and I. Partridge, Eds. Department of Primary Industries, 49-56.
Indian Ocean Intraseasonal Variability in an Ocean General Circulation Model.
J. Clim. Vol. 16, no. 1, pp. 21-39.
POAMA: Bureau of Meteorology operational coupled model seasonal forecast system.
Proc. ECMWF Workshop on the Role of the Upper Ocean in Medium and Extended Range Forecasting.
Ocean initial conditions and ENSO forecasts. Proceedings of the 13th BMRC Modelling Workshop.
The climate of Australia and the Indo-Pacific region, Nov 2001.
Interannual upper ocean variability in the tropical Indian Ocean.
Geophys. Res. Lett. 28, 4151-4154.
Interannual variability in the tropical Indian Ocean: A two-year time scale of IOD.
J. Mar. Res.,
(submitted)
Measurements of upper ocean heat and freshwater budgets near a drifting buoy in the equatorial Indian Ocean.
J. Geophys. Res.104, 13269-13302
Connecting climate model forecasts with agricultural management systems.
Report on a LWRRDC COR5 Workshop. CSIRO Marine Research (informal report), 13pp.
How well does a coarse resolution circulation model simulate observed interannual variability in the upper Indian Ocean?
Geophys. Res. Letters 26, 1485-1488.
Interannual dynamics and thermodynamics of the Indo-Pacific Oceans.
J. Phys. Oceanogr. 30, 987-1012.
Improving Climate Simulations in the Tropical Oceans.
IUTAM Symposium on Advances in Mathematical Modelling of Atmosphere and Ocean Dynamics. Kluwer Academic Publishers.
Seasonal-to-Interannual Water-Mass Formation in the Upper Tropical Indian Ocean.
J. Geophys. Res. (C Oceans). Vol. 108, no. C4
Seasonal prediction with a coupled global ocean-atmosphere model.
BMRC Research Report No 77, Bur. Met., Melbourne, Australia, 34 pp.
The BMRC coupled general circulation model ENSO forecast system.
Mon. Wea. Rev. 130, 975-991.
The new version of the BMRC coupled general circulation seasonal forecasting model. Proceeding of the 13th BMRC Modelling Workshop.
The climate of Australia and the Indo-Pacific region, Nov 2001.
Ten-year AMIP 1 Climatologies from versions of the BMRC Atmospheric Model.
BMRC Research Report No 83, Bur. Met., Melbourne, Australia, 34 pp.
A new version of the BMRC coupled ocean-atmosphere general circulation model for seasonal predictions: a brief description.
BMRC Research Report. (status: review stage)