Author details
Author O. Alves |
Available document(s)


![]()
![]()
CAWCR technical report, 52. Ocean Model, Analysis and Prediction System: version 2
Brassington G.; Freeman John W.; Huang X.; et al. - Centre for Australian Weather and Climate Research, 2012The Bureau of Meteorology established operational ocean forecasting in August 2007 through the Ocean Model, Analysis and Prediction System (OceanMAPS). OceanMAPS was developed through the BLUElink project an Australian government partnership between the Australian Bureau of Meteorology, CSIRO and the Royal Australian Navy. A major upgrade to this system OceanMAPS version 2 (OceanMAPSv2) was implemented operationally in December 2011 developed through a follow-on BLUElink-2 project. The new system is based on the latest GFDL Modular Ocean Model version 4 and the BLUElink Ocean Data Assimilation ...
![]()
Available online: https://www.cawcr.gov.au/publications/
G. Brassington ; John W. Freeman ; X. Huang ; O. Alves ; T. Pugh ; P.R. Oke
Published by: Centre for Australian Weather and Climate Research ; 2012The Bureau of Meteorology established operational ocean forecasting in August 2007 through the Ocean Model, Analysis and Prediction System (OceanMAPS). OceanMAPS was developed through the BLUElink project an Australian government partnership between the Australian Bureau of Meteorology, CSIRO and the Royal Australian Navy. A major upgrade to this system OceanMAPS version 2 (OceanMAPSv2) was implemented operationally in December 2011 developed through a follow-on BLUElink-2 project. The new system is based on the latest GFDL Modular Ocean Model version 4 and the BLUElink Ocean Data Assimilation System. The area of high horizontal resolution, 0.1°×0.1°, has remained confined to the Australian region, 90E-180E, 7S-75N however, the vertical resolution in the surface layer was refined to 5 m. OceanMAPSv2 shows approximately a 30% reduction in root mean square error over OceanMAPS for both sea surface temperature and sea surface height anomaly. In particular, the root mean square error for sea surface height anomaly shows that the worst forecasts from OceanMAPSv2 have lower error than the best forecasts from OceanMAPS. A major contributor to the improved performance is the implementation of a new initialisation scheme that more efficiently introduces the BODAS analyses into the ocean model. OceanMAPSv2 has also introduced a daily forecast schedule compared with the twice per week schedule of OceanMAPS. A new four-cycle design was introduced where four independent forecast cycles each time-lagged by one day over four consecutive days are each repeated on a four day period. This system is referred to as a multi-cycle lagged ensemble, as it is demonstrated to have higher cycle-to-cycle independence compared with a traditional time-lagged ensemble. OceanMAPSv2 therefore introduces a range of ensemble diagnostics for each ocean forecast.
Collection(s) and Series: CAWCR technical report- No. 52
Language(s): English
Format: Digital (Free), Hard copyTags: Oceans ; Ocean model
Add tag
No review, please log in to add yours !
![]()
![]()
CAWCR technical report, 51. Improvements in POAMA2 for the prediction of major climate drivers and south eastern Australian rainfall
Lim Eun-Pa; Hendon Harry H.; Langford Sally; et al. - Centre for Australian Weather and Climate Research, 2012Ocean-atmosphere interactions are key processes that drive seasonal climate variability. In the global sense, the atmosphere drives the upper ocean via heat flux, fresh water flux and wind stress (Anderson 2008). But in the tropics where the ocean surface temperature (hereafter, sea surface temperature, SST) is warm enough to trigger deep atmospheric convection, the ocean exerts strong controls on the atmosphere especially at longer time scales because of its slow variations and strong thermal inertia. Consequently, the highest predictability of atmospheric climate (e.g. temperature and rainfa ...
Improvements in POAMA2 for the prediction of major climate drivers and south eastern Australian rainfall
![]()
![]()
Available online: https://www.cawcr.gov.au/publications/
Published by: Centre for Australian Weather and Climate Research ; 2012
Ocean-atmosphere interactions are key processes that drive seasonal climate variability. In the global sense, the atmosphere drives the upper ocean via heat flux, fresh water flux and wind stress (Anderson 2008). But in the tropics where the ocean surface temperature (hereafter, sea surface temperature, SST) is warm enough to trigger deep atmospheric convection, the ocean exerts strong controls on the atmosphere especially at longer time scales because of its slow variations and strong thermal inertia. Consequently, the highest predictability of atmospheric climate (e.g. temperature and rainfall) on seasonal timescales is found predominantly across and directly surrounding the tropical ocean basins and in those extratropical regions of the globe that are directly influenced by atmospheric Rossby waves which are excited by variations of tropical deep convection that develop in response to variations in tropical SST (e.g. Hoskins and Schopf 2008) [...]
Collection(s) and Series: CAWCR technical report- No. 51
Language(s): English
Format: Digital (Free), Hard copyTags: Observations ; Climate model ; Precipitation forecasting ; Australia
Add tag
No review, please log in to add yours !