Numerical Modeling of Sea Level Oscillations in the Caspian Sea

التفاصيل البيبلوغرافية
العنوان: Numerical Modeling of Sea Level Oscillations in the Caspian Sea
المؤلفون: E. A. Kulikov, A. E. Kulikov, I. V. Fine, I. P. Medvedev
المصدر: Russian Meteorology and Hydrology. 44:529-539
بيانات النشر: Allerton Press, 2019.
سنة النشر: 2019
مصطلحات موضوعية: Fluid Flow and Transfer Processes, Atmospheric Science, Seiche, 010504 meteorology & atmospheric sciences, Atmospheric pressure, 010505 oceanography, Mesoscale meteorology, Wind stress, Storm surge, Numerical modeling, 01 natural sciences, Princeton Ocean Model, Physics::Geophysics, Climatology, Physics::Space Physics, Astrophysics::Earth and Planetary Astrophysics, Physics::Atmospheric and Oceanic Physics, Geology, Sea level, 0105 earth and related environmental sciences, Water Science and Technology
الوصف: The object of the present study is mesoscale sea level oscillations in the Caspian Sea being the largest inland water body on the Earth. The main forces inducing sea level oscillations in this frequency range are variations in air pressure, wind stress, and tidal potential. These factors form a wide range of the Caspian Sea level variability including storm surges, seiches, and tides. To investigate the features of these oscillations, the POM (Princeton Ocean Model) numerical model was adapted to the Caspian Sea conditions. The tide-generating force in the equations of motion was specified through the tidal potential gradients over the Caspian Sea area. NCEP/CFSR reanalysis data are used to calculate meteorological impacts on the sea surface (wind stress and air pressure). The numerical model simulates well the statistical characteristics of mesoscale sea level variability in the Caspian Sea including seiches and tides.
تدمد: 1934-8096
1068-3739
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::471c269e6055b14788a917914f5c0142
https://doi.org/10.3103/s1068373919080041
حقوق: CLOSED
رقم الأكسشن: edsair.doi...........471c269e6055b14788a917914f5c0142
قاعدة البيانات: OpenAIRE