Ifremer

Deep learning to monitor the deep sea: a category‐oriented automated framework for quantifying animal behavior at hydrothermal vents

Abstract Increasing evidences show that fauna living in deep‐sea ecosystems exhibit various complex behaviors that remain understudied. Although several in situ observatories have been set up around the globe, the use of their imagery data to gain insights into animal behavior ac...

A compilation of global bio-optical in situ data for ocean-colour satellite applications – version four

Abstract. A global in situ dataset for validation of satellite products from the ESA Ocean Colour Climate Change Initiative (OC-CCI) is presented. This version of the compilation, with data starting in 1996, extends to 2025, which is important for the validation of recent algorit...

Policy Consequentiality in Tourism Discrete Choice Experiments

Stated preference methods are widely applied in tourism research, yet their validity depends on respondents perceiving surveys as policy consequential. This paper examines how such perceptions shape willingness-to-pay (WTP) estimates for redesigned tourism supply. Using a discret...

Thermohaline gradients and frontal regimes in the northwestern Tropical Atlantic

Abstract. At the edge of the Amazon River plume, stirring by the North Brazil Current (NBC) and its eddies creates sharp surface thermohaline gradients on scales of O(1–100) km. This study provides a comprehensive picture of these gradients and fronts associated with the region's...