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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 ...
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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
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Modelling ocean Acidification in the California Current System : a dissertation submitted to ETH Zurich
Eastern boundary upwelling systems (EBUS) are naturally more acidic than most of the rest of the surface ocean. Observations of EBUS already show pH values and saturation states with regard to the carbonate mineral aragonite that are as low as those expected for most open ocean waters several decades from now. Thus, as atmospheric CO2 increases further, EBUS are prone to widespread and persistent undersaturation with regard to aragonite, making them especially sensitive to ocean acidification. Here, we describe ocean carbonate chemistry and its short-term-to-seasonal variability in one major E ...
Modelling ocean Acidification in the California Current System: a dissertation submitted to ETH Zurich
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Available online: http://dx.doi.org/10.5670/oceanog.2009.97
Published by: ETH ; 2012
Eastern boundary upwelling systems (EBUS) are naturally more acidic than most of the rest of the surface ocean. Observations of EBUS already show pH values and saturation states with regard to the carbonate mineral aragonite that are as low as those expected for most open ocean waters several decades from now. Thus, as atmospheric CO2 increases further, EBUS are prone to widespread and persistent undersaturation with regard to aragonite, making them especially sensitive to ocean acidification. Here, we describe ocean carbonate chemistry and its short-term-to-seasonal variability in one major EBUS, the California Current System (CCS), based on observations and results from an eddy-resolving regional model. Results reveal high variability in ocean carbonate chemistry, largely driven by seasonal upwelling of waters with low pH and saturation states, and subsequent interactions of transport and biological production. Model simulations confirm that the pH of CCS waters has decreased by about 0.1 pH unit and by 0.5 in saturation state since pre-industrial times. A first assessment of the vulnerability of CCS marine organisms and ecosystems to ocean acidification suggests that there will be winners and losers, likely provoking changes in species composition. Benthic organisms appear to be among those that will be most affected by the continuing acidification of the CCS. More accurate projections require special consideration of the integrated effects of ocean acidification, ocean warming, decreasing oxygen levels, and other processes that are expected with global change.
Language(s): English
Format: Digital (Free), Hard copyTags: Oceans ; Oceans acidification ; Ocean model
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GAW Report, 202. Workshop on Modelling and Observing the Impacts of Dust Transport/Deposition on Marine Productivity
In this report we evaluate the state-of-art knowledge and uncertainties regarding the deposition of dust on the ocean and its mineralogical composition provided by models and measurement datasets. Global climate models were recently intercompared by Huneeus et al. (2011) using results from the AEROCOM model intercomparison. The deposition calculations from these global models are frequently used as input for biological productivity calculations. A model measurement comparison (Huneeus, 2011) shows that global models do reproduce the observed data over several orders of magnitude. However, the ...
Published by: WMO ; 2011
In this report we evaluate the state-of-art knowledge and uncertainties regarding the deposition of dust on the ocean and its mineralogical composition provided by models and measurement datasets. Global climate models were recently intercompared by Huneeus et al. (2011) using results from the AEROCOM model intercomparison. The deposition calculations from these global models are frequently used as input for biological productivity calculations. A model measurement comparison (Huneeus, 2011) shows that global models do reproduce the observed data over several orders of magnitude. However, the agreement with individual measurements is within a factor of three at best. To estimate the flux of mineral nutrients to the ocean, the mineralogical composition of dust deposited at the surface ocean must be known. Very few studies have been performed to assess mineralogical composition of dust over the ocean, and thus the associated uncertainties in the mineralogy are even larger than for dust alone.
Collection(s) and Series: GAW Report- No. 202
Language(s): English
Format: Digital (Free), Hard copy (ill., charts)Tags: Oceans ; Ocean model ; Modelling ; Marine environment ; Ocean-atmosphere interaction ; Global Atmosphere Watch Programme (GAW) ; GAW 202
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N°44 (Vol. 13, No. 1) - January 2008 - Furthering the science of ocean climate modelling
is an issue of Exchanges. International CLIVAR Project Office, 2008
[number or issue]
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Available online: http://eprints.soton.ac.uk/50120/01/Exch_44.pdf
Language(s): English
Format: Digital (Free), Hard copy (ill., charts, maps)Tags: Oceans ; Ocean model ; Climate model ; Climate ; Modelling
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56 - November 2008 - Estimation of the Future Distribution of Sea Surface Temperature and Sea Ice Using the CMIP3 Multi-model Ensemble Mean
is an issue of 気象研究所技術報告. Mizuta Ryo; Adachi Yukimasa; Yukimoto Seiji; et al. - Meteorological Research Institute, 2008
[number or issue]56 - November 2008 - Estimation of the Future Distribution of Sea Surface Temperature and Sea Ice Using the CMIP3 Multi-model Ensemble Mean
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Available online: http://www.mri-jma.go.jp/Publish/Technical/DATA/VOL_56/56_en.html
Ryo Mizuta ; Yukimasa Adachi ; Seiji Yukimoto ; Shoji Kusunoki
Language(s): English, Japanese
Format: Digital (Free), Hard copyTags: Oceans ; Ocean model ; Sea ice ; Sea-surface temperature ; Modelling
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Seasonal prediction of sea surface temperatures anomalies using a suite of 13 coupled atmosphere-ocean models
Improved seasonal prediction of sea surface temperature (SST) anomalies over the global oceans is the theme of this paper. Using 13 state-of-the-art coupled global atmosphere-ocean models and 13 yr of seasonal forecasts, the performance of individual models, the ensemble mean, the bias-removed ensemble mean, and the Florida State University (FSU) superensemble are compared. A total of 23 400 seasonal forecasts based on 1-month lead times were available for this study. Evaluation metrics include both deterministic and probabilistic skill measures, such as verification of anomalies based on mode ...
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Arctic Climate System Study (ACSYS): joint report of the fourth session of the ACSYS Sea ICE/Ocean Modelling (SIOM) Panel and the ACSYS Workshop on Sea Ice Thickness Measurements and Data Analysis
Lemke P.; Colony R.; Intergovernmental Oceanographic Commission (IOC); et al. - WMO, 2000 (WMO/TD-No. 991)
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WCRP Informal/Series Report, 2/1997. Second session of the CLIVAR ACC/DEC-CEN Numerical experimentation group (CLIVAR NEG-2)
World Meteorological Organization (WMO) ; International Council of Scientific Unions (ICSU); Intergovernmental Oceanographic Commission (IOC) - WMO, 1997
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WCRP, 95. WCRP Workshop on Air-Sea Flux Fields for Forcing Ocean Models and Validating GCMs, European Centre for Medium-Range Weather Forecasts
White G.; International Council of Scientific Unions (ICSU); World Meteorological Organization (WMO) ; et al. - WMO, 1996 (WMO/TD-No. 762)
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MMROA Report, 27. A survey on multidisciplinary ocean modelling and forecasting
World Meteorological Organization (WMO) ; Intergovernmental Oceanographic Commission (IOC) - WMO, 1992 (WMO/TD-No. 516)
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