Dear all, I am very happy to announce that the Journal of Experimental Marine Biology and Ecology (JEMBE) has this week published my latest manuscript, introducing a simple, fast and freely available online tool to study drift in the ocean. As most pelagic marine mammals inevitably drift to some extend, I though you might be interested in this paper for research or teaching purposes. van Sebille, E. (2014), Adrift.org.au -- A free, quick and easy tool to quantitatively study planktonic surface drift in the global ocean, *J Exp Mar Biol Ecol*, *461*, 317-322, doi:10.1016/j.jembe.2014.09.002 <http://dx.doi.org/10.1016/j.jembe.2014.09.002>. I am a physical oceanographer by training, and interested in ocean currents and the way they advect "stuff" like heat, nutrients, plankton and even plastic. In the last few years, I have created a method to study dispersion on the ocean surface, using trajectories from observed drifting buoys. This method is so simple and powerful that I created a website around it at adrift.org.au and this paper in JEMBE is the introduction of that website for marine scientists interested in ocean drift. As I state at the end of the manuscript, I hope "that adrift.org.au is a valuable addition to the landscape of tracking tools and that the site will be used by scientists, both in their teaching and their research, who are interested in how ocean currents shape ecosystems". You can download the pdf at http://www.sciencedirect.com/science/article/pii/S0022098114002445 or contact me via email at e.vansebille@unsw.edu.au for a copy Let me know if you have any questions or comments! Cheers, Erik Title: Adrift.org.au -- A free, quick and easy tool to quantitatively study planktonic surface drift in the global ocean Abstract: Almost all organisms in the ocean are impacted by ocean currents. Hence, there is growing interest by marine ecologists in using objective methods to assess current drift and its implications for marine connectivity. Here, an online tool - hosted at adrift.org.au - is introduced that allows for a simple, quantitative assessment of drift patterns and transit time scales on the global scale. The tool is based on a statistical transition matrix represen- tation of the observed trajectories of more than 15 thousand surface drifters. Users can select any point in the ocean and obtain the evolution of the probability density distribution for a tracer released at that point, both forward and backward in time, for a maximum interval of 10 years. It is envisioned that this tool will be used in research and teaching, especially where estimates of drift patterns and transit times are required quickly. -- Dr. Erik van Sebille Climate Change Research Centre & ARC Centre of Excellence for Climate System Science University of New South Wales Sydney, Australia --------------------------------- t: +61 2 9385 7196 e: E.vanSebille@unsw.edu.au w: www.erik.vansebille.com