Showing 21 - 40 results of 244 for search '"sea level"', query time: 0.06s Refine Results
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    Investigating the Influence of Anthropogenic Forcing on Observed Mean and Extreme Sea Level Pressure Trends over the Mediterranean Region by Armineh Barkhordarian

    Published 2012-01-01
    “…We investigate whether the observed mean sea level pressure (SLP) trends over the Mediterranean region in the period from 1975 to 2004 are significantly consistent with what 17 models projected as response of SLP to anthropogenic forcing (greenhouse gases and sulphate aerosols, GS). …”
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    Understanding uncertainties in the satellite altimeter measurement of coastal sea level: insights from a round-robin analysis by F. Birol, F. Bignalet-Cazalet, M. Cancet, M. Cancet, J.-A. Daguze, W. Fkaier, E. Fouchet, E. Fouchet, F. Léger, C. Maraldi, F. Niño, M.-I. Pujol, N. Tran

    Published 2025-01-01
    “…<p>The satellite radar altimetry record of sea level has now surpassed 30 years in length. These observations have greatly improved our knowledge of the open ocean and are now an essential component of many operational marine systems and climate studies. …”
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    HIDRA3: a deep-learning model for multipoint ensemble sea level forecasting in the presence of tide gauge sensor failures by M. Rus, M. Rus, H. Mihanović, M. Ličer, M. Ličer, M. Kristan

    Published 2025-02-01
    “…<p>Accurate modeling of sea level and storm surge dynamics with several days of temporal horizons is essential for effective coastal flood responses and the protection of coastal communities and economies. …”
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    Bayesian Regularized Neural Network Model Development for Predicting Daily Rainfall from Sea Level Pressure Data: Investigation on Solving Complex Hydrology Problem by Lu Ye, Saadya Fahad Jabbar, Musaddak M. Abdul Zahra, Mou Leong Tan

    Published 2021-01-01
    “…A new model is developed in this study for prediction of daily rainfall for different lead times based on sea level pressure (SLP) which is physically related to rainfall on land and thus able to predict unseen rainfall events. …”
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