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Veli Çağlar Yumruktepe's picture

Veli Çağlar Yumruktepe

Guest Researcher
  • E-mailveli.yumruktepe@uib.no
  • Visitor Address
    Allégaten 70
    5007 Bergen
  • Postal Address
    Postboks 7803
    5020 Bergen
Academic article
  • Show author(s) (2023). Key physical processes and their model representation for projecting climate impacts on subarctic Atlantic net primary production: A synthesis. Progress in Oceanography. 11 pages.
  • Show author(s) (2023). An along-Track Biogeochemical Argo modelling framework: A case study of model improvements for the Nordic seas. Geoscientific Model Development. 6875-6897.
  • Show author(s) (2022). Environmental Change at Deep-Sea Sponge Habitats Over the Last Half Century: A Model Hindcast Study for the Age of Anthropogenic Climate Change. Frontiers in Marine Science. 1-17.
  • Show author(s) (2022). ECOSMO II(CHL): a marine biogeochemical model for the North Atlantic and the Arctic. Geoscientific Model Development. 3901-3921.
  • Show author(s) (2021). Assessing the impact of nutrient loads on eutrophication in the semi-enclosed Izmir Bay combining observations and coupled hydrodynamic-ecosystem modelling. Mediterranean Marine Science. 677-696.
  • Show author(s) (2020). Controls on carbon export in the subtropical North Atlantic. Progress in Oceanography.
  • Show author(s) (2019). Copernicus Marine Service Ocean State Report, Issue 3. Journal of operational oceanography. Publisher: The Institute of Marine Engineering, Science & Technology. 1-123.
Report
  • Show author(s) (2022). MODELING MARINE PRIMARY PRODUCTION IN THE ARCTIC: THE IMPACT OF SEA ICE MODELS USING DIFFERENT SEA ICE RHEOLOGY. 414. 414. .
Academic lecture
  • Show author(s) (2021). Key physical processes for evaluating climate impacts on subarctic primary production.
  • Show author(s) (2018). Modelling Cross-latitude Variability in Carbon Export Efficiency.
  • Show author(s) (2018). Applications and recent developments of the biogeochemical model in the TOPAZ forecasting system.
Poster
  • Show author(s) (2023). Towards identifying biological data products for advancing modeling carbon sequestration in the Arctic Ocean.
  • Show author(s) (2018). Biogeochemical operational modeling in the Arctic using the TOPAZ forecasting system.
  • Show author(s) (2017). Bio-ARGO as a potential source of regular validation and model improvement in an operational biogeochemical model.
  • Show author(s) (2017). Bio-ARGO as a potential source of regular validation and model improvement in an operational biogeochemical model.

More information in national current research information system (CRIStin)