D-IAS Assistant Professor Carolin Löscher has received a visiting scientist fellowship from the National Oceanic and Atmospheric Administration (NOAA), USA.
FELLOWSHIP: Carolin Löscher is now going to work together with scientists from the Princeton University and the Geophysical Fluid Dynamics Laboratory on a large-scale climate model in order to improve predictive climate models. NOAA’s Geophysical Fluid Dynamics Laboratory (GFDL) develop and use Earth system models and computer simulations to improve our understanding and prediction of all aspects of the climate system.
To me this is an exciting and important step forward because now, for the first time, global ocean modelers are interested in putting my work on how life buffers climate change into their projections. This was completely ignored, before. I very much hope this will change our understanding of life-climate interactions and provide finally an accurate way to predict what will happen to the future Ocean.
GFDL scientists focus on model-building relevant for society, for hurricane research, weather and ocean prediction, seasonal forecasting, understanding regional and global climate change, and more. GFDL has pioneered much of the world’s research on the modeling of climate change since 1955).
Carolin will be working together with John Dunne and Charles Stock, both of them are experts in ocean biogeochemistry, climate and earth system modeling, and with Bess Ward, who is probably the world leading scientist in nitrogen turnover processes in the Ocean.
Specifically, the work will focus on marine N2-fixation, a process vital to all life in the Ocean. Based on genetic data collected throughout the global Oceans, rate measurements and sensitivity estimates identified by Carolin, the response of N2-fixing microbes to a major consequence of climate change, oxygen loss, will be modeled.
The results are crucial to understand basic controls of N2-fixation in a changing ocean and will add to the overarching goal to understand how anthropogenic climate change influences the life in the Ocean and the Earth. With this project we envisage further to strengthen multidisciplinary environmental mining approaches, as to maximize the understanding of direct data collection and models likewise.