Folly Serge Tomety

CofE-AWI experience!!! Folly Serge Tomety

Researcher, University of Lomé, Togo

Wikipage: hƩ p://www.nf-pogo-alumni.org/~Folly+Tomety

IsƟ ll remember my happiness when I got a message from Gerry which said: ‘’This is an unoffi cial email. I am happy to report that you have been selected to parƟ cipate in the Year 2 NF-POGO CofEAWI, which will commence this October and run for 10 months in Germany”. I was very happy and excited to travel to Europe for the fi rst Ɵ me. And at the same Ɵ me I was aware of the possible challenges that I will face during these 10 months. Arrived in Germany in October 2014, the fi rst months were very hard for me. So far from my family, I had diffi culty to integrate into my new POGOnian family due to my very poor English. I could not well understand my colleagues and lecturers and I could not make myself understood. At the CofE-AWI, we POGOnian fellows had courses from eminent and nice scienƟ sts from Germany, UK, USA and Australia with a good experience in teaching. Biological oceanography, chemical oceanography, oceanography, geological processes and methods, benthic ecology, physical oceanography, remote sensing as well as some courses and pracƟ ces concerning experimental methods such as staƟ sƟ cs in R, Ɵ me series analysis, Ocean Data management modelling with Powersim and R, and some applicaƟ on to Seas Worldwide such as coastal management were all the modules we accomplished in this training. This unique experience to learn embedded in a mulƟ disciplinary training program helps me to be an ‘’all-rounder’’. I have not only broadened my

Figure 1 - Satellite image of the Lena Delta

Alumnus Pavanee Annasawmy in acƟ on, sampling corals for taxonomic idenƟfi caƟ on in MauriƟ an coral reefs. Read more on Pavanee’s steps into marine science in page 23.

knowledge in physical oceanography as a physical oceanographer, but I also acquire a deep knowledge in other disciplines of oceanography and other competence like programming in R. PresentaƟ ons or reports at the end of each course enhance my oral presentaƟ on skills. I also acquire ability on data collecƟ on trough cruises via Utorm, Mya and Heincke.

Figure 2 - The generated unstructured grid in computaFi 2 Th t d t t d id i t Ɵ onal domainld

Another challenge I was facing in this program was to conduct an independent research project in oceanography. I have had great interest in modelling since my master but haven’t had the opportunity before to do research in this domain. At the CofE I got the chance to obtain fi rst hand training on numerical modelling through my independent research project which focused on numerical simulaƟ on of the Lena Delta, which is the largest Delta in the ArcƟ c (Figure 1). Supervised by Dr. Vera Fofonova, the choice of this project was also a unique chance for me to be take part among senior scienƟ sts at an internaƟ onal conference held in Tomsk, Russia from 26 to 30 June 2015.

Indeed due to global warming the Lena Delta region undergoes signifi cant changes in its climatology and ecosystem, which in turn infl uences the ArcƟ c Ocean. Direct measurements are by far insuffi cient. The modeling eff orts are necessary to make a step towards a deeper understanding of the complex dynamics in the region. The main goals of this project was to collect available bathymetry, hydrodynamics and morphology data, as to develop a hydrodynamics module of the Lena River estuary zone and also analyzed partly the barotropic dynamics in the region. As a numerical tool the FVCOM (The Unstructured Grid Finite Volume Coastal/Community Ocean Model) was used. The start point of this work is the model setup in order to provide a good base for the simulaƟ on. In this step, we need to defi ne computaƟ onal domain from bathymetry data to generate the mesh of the study area (Persson and Strang, 2004) (Figure 2); the bathymetry was reconstructed in the whole area by using QGIS . The model was limited to a barotropic case, the simulaƟ ons (Ɵ dal dynamics and velocity regime in diff erent channels) were done on the super computer SGI UV 100 ( hƩ ps:// www.awi.de/en/science/special-groups/scienƟfi ccompuƟ ng/high-perfomance-compuƟ ng/computershardware.html ) using 32 cores. The validaƟ on of Figure 3 - TOP: Tide amplitude (in meters, leŌ ) and phase (in degrees, the model was done using available observed data right) simulaƟ ons for M2 component. BOTTOM: Comparision between simulaƟ on and observaƟ on. (Figure 3).

Breaking waves at Chalatat Beach, Thailand are used as example by alumnus Dr. Jitraporn Phaksopa to explain the importance of air bubbles for the ocean. Read more at page 25.