Southern Atlantic Marine Science Cooperation Workshop
The Southern Atlantic Ocean Science workshop is an informal contribution to the Transatlantic Ocean Research Alliance, which the European Union, Canada and the USA initiated in 2013.
The Transatlantic Alliance is organizing a conference on 16-17 April 2015 in Brussels entitled The Atlantic: Our Shared Resource - Making the vision a reality. To register click here.
Links to research programmes and projects focusing on the southern Atlantic Ocean area (listed alphabetically):
The GENUS (Geochemistry and Ecology of the Namibian Upwelling System) project is funded by the German Federal Ministry of Research and aims to clarify relationships between climate change, biogeochemical cycles, and ecosystem structure in the large marine ecosystem of the northern Benguela / Namibian coast (SW Africa).
PREFACE EU project
PREFACE (Enhancing prediction of Tropical Atlantic climate and its impacts) is a climate change project with 28 partners across 18 countries in Europe and Africa, as well as 3 associate partners directly involved in the sustainable management of the three Eastern boundary large marine ecosystems of the Tropical Atlantic. It is funded by the European Commission’s Seventh Framework Programme and is scheduled to run until November 2017.
The joint initiative RACE investigates the regional Atlantic circulation and global change and is funded by the German Research Ministry (BMBF) from 2013-2015. A 2nd phase (2016-2018) is being proposed with a focus on taking measurements of the western boundary current system in the tropical South Atlantic.
The SACUS (Southwest African Coastal Upwelling System and Benguela Niños) co-operative project funded by the German Research Ministry (BMBF) from 2013-2016
The SAMOC Initiative
The main objectives of the SAMOC initiative are to measure the strength and variability of the MOC as well as the meridional heat and fresh-water transport in the South Atlantic, all of which are crucial to improving our understanding of climate system variability.