Ganix ESNAOLA

Early career scientist that focuses on problems that share the fields of atmospheric physics, physical oceanography and physical climatology. PhD defended at the University of the Basque Country (2013) on the “Air-Sea Interaction in the Bay of Biscay from Satellite Sea Surface Temperature Images”. His research activities have been developed in the Marine research division of AZTI-Tecnalia as both pre and post doctoral researcher (2007-2014) and also a postdoctoral researcher in the Applied Physics II department of the University of the Basque Country (2014-2015). He recently joined the Nuclear Engineering and Fluid Mechanics department and started teaching activities together with the research ones. He has developed research stays as both pre and postdoctoral researcher in the Helmholtz-Zentrum Coastal Research Centre (Geesthacht, Germany, 2009), IFREMER – Dyneco/Physed (Brest, France, 2011) and in the GHER group of the university of Liege (Liege, Belgium, 2013-2014), and he is building a growing a collaboration network. By this early stage of his research career, he has published 10 research articles in peer-reviewed international journals and presented 15 contributions to international congresses. He has participated in 2 international research projects (EPIGRAM, LOREA) and in 4 competitive research projects funded the the Basque Government (ITSASEUS II, ITSASEUS, EKLIMA XXI, ETORMET). He is actually participating in a competitive research project funded the Spanish Ministries of Education and Science (WaVaCurIP) and an international research project (ENIGME). Recently, he started teaching satellite oceanography related issues in the Erasmus Mundus Master in Marine Environment and Resources MER and he is supervisor of a master Thesis student. His expertise focuses on the analysis of physical processes that are developed on the ocean over many temporal and spatial scales, with biological implications in many cases, and that are caused or modulated by processes developed in the atmosphere. These involve the use of a variety of atmospheric, oceanographic and climate data sources, local and international; the application of powerful statistical techniques to these data (such as techniques for the reconstruction of missing data or others related to the climate change context), the numerical modeling of the involved physics (both atmospheric and oceanographic modeling) or the combination of the latter two (like the data assimilation techniques). Amongst all these, the experience in the field of the reconstruction of missing data in satellite images and its application to satellite oceanography problems, or the identification of the climate change signal in atmospheric and oceanographic variables could be stressed.