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Sorted by (Issue date descending, Date of update descending, Date of creation descending, Number of collection descending) Add the result to your favourites Refine your searchCAWCR 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 ...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 ...
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 ...N°44 (Vol. 13, No. 1) - January 2008 - Furthering the science of ocean climate modelling
is an issue of Exchanges. International CLIVAR Project Office, 200856 - 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, 2008Seasonal 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 ...
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)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, 1997WCRP, 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)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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