Institute of

Sea Fisheries

Director

Secretariat

 

Herwigstraße 31

27572 Bremerhaven

Telephone: +49 471 94460 101

Fax: +49 471 94460 199

maria-isabel.koester@thuenen.de


Dr. Anna Akimova

Dr. Anna  Akimova
Address
Herwigstraße 31
27572 Bremerhaven
Phone
+49 471 94460 253
Fax
+49 471 94460 199
E-Mail
anna.akimova@thuenen.de

Research interests

  • Physical oceanography of the North Atlantic and the North Sea
  • Climate variability and its influence on oceanic ecosystems
  • Biophysical modeling (Early life stage IBMs)

Assignments

  • Research Unit Leader - Operational observation system
  • Oceanography & climate: Monitoring of physical oceanographic parameters for the assessment of climatic influences on fish stocks in the North Sea Atlantic and North Atlantic
  • Geo Data Infrastructure Germany (GDI-DE), Infrastructure for Spatial Information in the European Community (INSPIRE)

Educational background and employment

  • 2005 - 2009: Research Assistant, physical oceanography, Alfred Wegener Institute for Polar and Marine Research, Bremerhaven
  • 2004: M.Sc., Hydrometeorology, St. Petersburg State University and University of Bremen. Thesis: “The interannual variability of the cold halocline in the Laptev sea (1973 – 1993)” Supervisors: Dr. Leo Timokhov, AARII, Russia, Dr. Ursula Schauer, AWI, Germany, Dr. Vladimir Ionov, SpbSU, Russia
  • 2002 – 2004: POMOR (Applied Polar and Marine Sciences) master program, Saint Petersburg. State University and University of Bremen
  • 2002 – 2004: Research Assistant, laboratory of Ocean Atmosphere interaction, AARI, St. Petersburg, Russia
  • 2002: B.Sc., Oceanography, St. Petersburg State University. Thesis title: “The distribution of the solar radiation in the Laptev Sea”. Supervisor: Dr.Boris Ivanov, AARII, Russia, Dr. Vladimir Ionov, SpbSU, Russia.

Working Groups and Committees

Working Group - CommitteeTasks
ICES
Working Group on Interactive Physical-Biological and Ecosystem Modelling (WGIPEM)An important part of the work is the continued development of end-to-end ecosystem models that incorporate ecological, economic, and social science.