TÜRK DENİZLERİNE ÖZGÜ BÜTÜNLEŞİK HİDRODİNAMİK- BİYOJEOKİMYASAL MODEL UYGULAMALARI: KARADENİZ ÖRNEĞİ


Arkin Ş. S., Fach Salihoğlu B. A., Sadighrad E., Acar A. O., Salihoğlu B.

5. Ulusal Deniz Bilimleri Konferansi 2022, Trabzon, Türkiye, 1 - 03 Haziran 2022, ss.163-164

  • Yayın Türü: Bildiri / Özet Bildiri
  • Basıldığı Şehir: Trabzon
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.163-164
  • Orta Doğu Teknik Üniversitesi Adresli: Evet

Özet

The fact that the Black Sea has unique physical and biogeochemical properties makes it difficult to use common models used to study many seas in the world. Considering this fact, an integrated modeling system has been developed that can be used in all seas surrounding Turkey, including the Black Sea. The components of the modeling system consist of a physical model that can predict currents and the thermodynamic variables of the seas, and a biogeochemical model developed to work in integration with it. For the first application of the developed modeling system among Turkish seas, the Black Sea, which is one of the most difficult seas to model in terms of biogeochemical and includes many processes especially in an oxygen-free environment, was deemed appropriate.

The Black Sea has unique physical and biogeochemical properties. In order to understand the physical dynamics of the Black Sea correctly, small-medium scale eddy-front systems should be understood correctly. For this purpose, the Nucleus for a European Model of the Ocean (NEMO) model was adapted to the Black Sea. In the Black Sea NEMO model, Arakawa-C grid horizontal 3 km resolution and 75 vertical layers were used (Turkish Regional Seas Ecosystem Model, TURSEM). A complex biogeochemical model that tracks the cycles of C, N, P, Si, O, Fe, Mn, S and includes variable, quota-based stoichiometry of biological components is set for the Black Sea. The model is used to understand how mesoscale eddies and frontal features affect new production in the Black Sea. Physical and biogeochemical model validation was done by in situ and remote sensing measurements.