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  • 1
    Publication Date: 2021-06-22
    Description: In this article we describe an innovative multi-model system developed within the CIRCEEU-FP6 Project and used to produce simulations of the Mediterranean Sea regional climate.The models include high-resolution Mediterranean Sea components, which allow to assess therole of the basin, and in particular of the air-sea feedbacks in the climate of the region. The models have been integrated from 1951 to 2050, using observed radiative forcings duringthe first half of the simulation period and the IPCC SRES A1B scenario during the secondhalf.The projections show a substantial warming (about 1.5°-2°C) and a significant decrease ofprecipitation (about 5%) in the region for the scenario period. However, locally the changesmight be even larger. In the same period, the projected surface net heat loss decreases, leadingto a weaker cooling of the Mediterranean Sea by the atmosphere, whereas the water budgetappears to increase, leading the basin to loose more water through its surface than in the past.These results are overall consistent with the findings of previous scenario simulations, such asPRUDENCE, ENSEMBLES and CMIP3. The agreement suggests that these findings arerobust to substantial changes in the configuration of the models used to make the simulations.Finally, the models produce a 2021-2050 mean steric sea-level rise that ranges between +7 cm and +12 cm, with respect to the period of reference.
    Description: Published
    Description: 65-81
    Description: 3.7. Dinamica del clima e dell'oceano
    Description: JCR Journal
    Description: open
    Keywords: Mediterranean Sea ; climate projections ; multi-model ; 01. Atmosphere::01.01. Atmosphere::01.01.02. Climate
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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  • 2
    Publication Date: 2017-10-19
    Description: This study presents the upgrade of the Optimal Interpolation scheme used in the basin scale assimilation scheme of the Mediterranean Forecasting System. The modifications include a daily analysis cycle, the assimilation of ARGO float profiles, the implementation of the geostrophic balance in the background error covariance matrix and the initialisation of the analyses. A series of numerical experiments showed that each modification had a positive impact on the accuracy of the analyses: The daily cycle improved the representation of the processes with the temporal variability shorter than a week, the assimilation of ARGO floats profiles significantly improved the salinity analyses quality, the geostrophically balanced background error covariances improved the accuracy of the surface elevation analyses, and the initialisation removed the barotropic adjustment in the forecast first time steps starting from the analysis.
    Description: Published
    Description: 149-157
    Description: 3.7. Dinamica del clima e dell'oceano
    Description: N/A or not JCR
    Description: reserved
    Keywords: ocean data assimilation ; operational forecasting ; Mediterranean Sea ; 03. Hydrosphere::03.01. General::03.01.05. Operational oceanography
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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  • 3
    Publication Date: 2020-02-24
    Description: A simulation and two reanalyses from 1985 to 2007 have been produced for the Mediterranean Sea using different assimilation schemes: a reduced-order optimal interpolation [System for Ocean Forecast and Analysis (SOFA)] and a three-dimensional variational scheme (OceanVar). The observational dataset consists of vertical temperature and salinity in situ profiles and along-track satellite sea level anomalies; daily mean fields of satellite sea surface temperature are used for correcting the air–sea fluxes. This paper assesses the quality of the reanalyses with respect to observations and the simulation. Both the SOFA and OceanVar schemes give very similar root-mean-square errors and biases for temperature and salinity fields compared with the assimilated observations. The largest errors are at the thermocline level and in regions of large eddy field variability. However, OceanVar gives 20% better results for sea level anomaly root-mean-square error.
    Description: Published
    Description: 569-59
    Description: JCR Journal
    Description: open
    Keywords: Mediterranean Sea ; 03. Hydrosphere::03.01. General::03.01.05. Operational oceanography
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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