| Grant number: | 22/06765-8 |
| Support Opportunities: | Scholarships in Brazil - Doctorate |
| Start date: | October 01, 2022 |
| End date: | June 30, 2025 |
| Field of knowledge: | Physical Sciences and Mathematics - Oceanography - Physical Oceanography |
| Principal Investigator: | Joséph Harari |
| Grantee: | Ophelie Fabienne Marie Renée Choupin |
| Host Institution: | Instituto Oceanográfico (IO). Universidade de São Paulo (USP). São Paulo , SP, Brazil |
| Associated scholarship(s): | 22/13873-1 - Definition of the global coastline wave distribution climate using computational methods and coastal wave modelling, BE.EP.DR |
Abstract Almost 40% of the population lives along the global coastline, and most marine activities are affected by the wave conditions. This PhD is dedicated to characterise and analyse the global distribution of ocean wave multi-variate distribution climate that will eventually help improving coastal population protection and energy independency using harvestable wave energy estimations. In other words, the objective is to divide the well-known global wave trends into a finite number of wave distribution climates and zones with similar characteristics. A clustering algorithm will be developed notably based on Principal Component Analysis (PCA) technics alongside other data-analysis and optimisation methods to cluster wave height, period, and direction data worldwide. The analysis is based on global wave model hindcast in terms of hourly sea state distribution (wave height, period and direction), to cluster them into zones of particular wave distribution climate. The distribution will be analysed yearly, seasonally, and monthly covering periods of 10 and 30 years prior to 2019. Since this PhD aims to support coastal communities, the global-ocean analysis is accompanied by coastal or shelf-based analyses. Furthermore, since global wave models reanalysis such as ERA5 use coarse-spatial resolution (about 30 km), this PhD eventually targets comparing large spatial-resolution results with those along the coastline. Shelf-based data are characterised by a finer spatial resolution (up to 200 m shoreward). The Laboratory of Physical Oceanography and Satellite Remote Sensing (LOPS) and hosted by the French Research Institute for the Exploitation of the Sea (IFREMER) directly involved in the PhD's supervision-team will provide the already existing and validated coastal wave dataset. The last year would be dedicated to this collaboration as a sanduiche during which the deeper investigation of the links between the global, especially coastal, results and well known oceanographic and climate phenomena will be undertaken alongside running the algorithm on the high resolution shelf-based wave data to estimate the detailed evolution of the wave distribution climates shoreward. The processing of the large amount of data has been made feasible using a second collaboration with Cranfield University (Centre for Computational Engineering Sciences) that helps handle the computational cost and dramatically reduce the processing time using in total two Hyper Performance Computer (HPC), alongside data analysis and paralleling advanced technics. | |
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