Contribution of operational oceanography to drift forecast for search and rescue operations and marine pollution response

Nowadays, many authorities in charge of rescue-at-sea operations lean on operational oceanography products to outline research perimeters. Moreover, current fields estimated with sophisticated ocean forecasting systems can be used as input data for oil spill/ drifting object fate models. This emphases the necessity of an accurate sea state forecast, with a mastered level of reliability. This Ph.D. Thesis focuses on the issues inherent to drift modelling, dealing in the first place with several aspects in the estimation of the oceanic current field. For that purpose, benchmarked drift scenarios were set up from real surface drifters data collected in the Mediterranean sea and off the coasts of Angola. The idea is to generate series of current fields of different qualities (i.e. with different modelling options or physical processes) and then to assess them in term of drifting predictability. Oceanic configurations with regional improvements and nested into Mercator 1/12° operational system and based on the NEMO 2.3 code are designed to perform ocean predictions. The drift forecasts are computed offline with two particles fate models: MOTHY (Météo-France's oil spill crisis response system) and Ariane (B. Blanke, 1997). The use of these softwares gives two different approaches. In the first one, an extraction of the current in depth is used as background of the one computed by MOTHY, which describes precisely the mixed layer vertical profile in response to local wind and pressure. With regard to Ariane, surface currents are used directly to assess the modeling of surface processes in our oceanic configurations. Previous studies showed that meso-scale features and high frequency processes have a strong contribution in the oceanic Lagrangian predictability. We were therefore particularly interested in the impact of the horizontal resolution, the vertical mixing, the atmospheric forcing frequency and other physical processes relevant for the oceanic drift like tides. Time and space scales that we focus on are about 72h forecasts. This covers typical forecast periods in crisis situation, for final distance errors of a few dozen of km (acceptable for reconnaissance by aircrafts). Results suggest that the effect of the wind and the control of meso-scale through the resolution are of primary importance for drift applications in the Mediterranean sea. Physical processes related to winter winds like the Stokes drift and windage also impact the buoys path offshore. Concerning the Angola scenario, complex oceanic features like the influence of the Congo river's plume and the fast reversal of coastal currents, likely due to tropical waves, were studied. In this region, the vertical level of the current extraction is very sensitive because of undercurrents.

Data and Resources

Additional Info

Field Value
Source https://theses.hal.science/tel-00838293
Author Law-Chune, Stephane
Maintainer CCSD
Last Updated May 10, 2026, 13:44 (UTC)
Created May 10, 2026, 13:44 (UTC)
Identifier tel-00838293
Language fr
Rights https://about.hal.science/hal-authorisation-v1/
contributor Echanges Côte-Large (ECOLA) ; Laboratoire d'études en Géophysique et océanographie spatiales (LEGOS) ; Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) ; Communauté d'universités et établissements de Toulouse (Comue de Toulouse)-Communauté d'universités et établissements de Toulouse (Comue de Toulouse)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) ; Communauté d'universités et établissements de Toulouse (Comue de Toulouse)-Communauté d'universités et établissements de Toulouse (Comue de Toulouse)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)
creator Law-Chune, Stephane
date 2012-02-15T00:00:00
harvest_object_id b101dbc2-0113-4090-9b26-8818916397a2
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2025-10-22T00:00:00
set_spec type:THESE