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, 2012

The 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 ...

English

 Ocean Model, Analysis and Prediction System: version 2

  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 ; 2012

The 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 copy

Tags: Oceans ; Ocean model Add tag

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Modelling ocean Acidification in the California Current System : a dissertation submitted to ETH Zurich

Hauri Claudine; Gruber Nicolas; Plattner Gian-Kasper - 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 E ...

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 Modelling ocean Acidification in the California Current System: a dissertation submitted to ETH Zurich

  Available online: http://dx.doi.org/10.5670/oceanog.2009.97

Claudine Hauri ; Nicolas Gruber ; Gian-Kasper Plattner

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 copy

Tags: Oceans ; Oceans acidification ; Ocean model Add tag

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GAW Report, 202. Workshop on Modelling and Observing the Impacts of Dust Transport/Deposition on Marine Productivity

World Meteorological Organization (WMO) ; Liss Peter S. - 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 ...

English

 Workshop on Modelling and Observing the Impacts of Dust Transport/Deposition on Marine Productivity

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World Meteorological Organization (WMO) ; Peter S. Liss

Event: Event: Workshop on Modelling and Observing the Impacts of Dust Transport/Deposition on Marine Productivity Joint Meeting of GESAMP Working Group 38 and the WMO Sand and Dust Storm Warning Advisory and Assessment System (SDS-WAS) (7-9 March 2011; Sliema, Malta)

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 Add tag

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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

English

[number or issue] 

 N°44 (Vol. 13, No. 1) - January 2008 - Furthering the science of ocean climate modelling

  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 Add tag

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 Exchanges  

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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

English; Japanese

[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

  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 copy

Tags: Oceans ; Ocean model ; Sea ice ; Sea-surface temperature ; Modelling Add tag

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 気象研究所技術報告 = Technical Reports of the Meteorological Research Institute  

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Seasonal prediction of sea surface temperatures anomalies using a suite of 13 coupled atmosphere-ocean models

Krishnamurti T.N.; Chakraborty Arindam; Krishnamurti Ruby; et al. - FSU, 2006

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)

English

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WCRP Informal/Series Report, 7. Second session of the CLIVAR Upper ocean panel and Joint workshop with CLIVAR NEG-1 : Assessment of the Pacific Observing System for Analyses, Model-Testing and El Niño Forecasts

World Meteorological Organization (WMO) - WMO, 1997

English

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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

English

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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)

English

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MMROA Report, 12. Supplement No.4 - WMO Wave Programme: national reports from 1991 to 1992 on wave measuring techniques, numerical wave models and intercomparisons

World Meteorological Organization (WMO) - WMO, 1994 (WMO/TD-No. 35)

English

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MMROA Report, 29. Meteorological requirements for wave modelling

World Meteorological Organization (WMO) - WMO, 1993 (WMO/TD-No. 583)

English

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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)

English

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MMROA Report, 12. Supplement No.3 - WMO Wave Programme: national reports from 1989 to 1990 on wave measuring techniques, numerical wave models and intercomparisons

World Meteorological Organization (WMO) - WMO, 1991 (WMO/TD-No. 35)

English

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MMROA Report, 12. Supplement No.2 - WMO Wave Programme: national reports from 1986 to 1988 on wave measuring techniques, numerical wave models and intercomparisons

World Meteorological Organization (WMO) - WMO, 1989 (WMO/TD-No. 35)

English

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