A Software Package for an Adaptive Satellite-Based Sampling for Oceanographic Cruises (SPASSOv2.0): Tracking Fine-Scale Features for Physical and Biogeochemical Studies

Abstract During the past decade, increasing interests arose in understanding the role of fine scales (processes of the order of tens of kilometer) on ocean energy and biogeochemical budgets. However, in situ evidence of these processes remains poorly documented and represents only few specific ocean conditions. To fill this gap, new adaptive sampling feature-oriented strategies need to be developed. A possible approach is to target fine-scale features, identified from space, with in situ surveys. The Software Package for an Adaptive Satellite-based Sampling for Oceanographic cruises (SPASSO) package provides real-time analysis of satellite-derived products and diagnostics to identify fine-scale biophysical dynamics of any given study area. Besides the visualization of satellite products, the software computes a large variety of Eulerian and Lagrangian diagnostics inferred from near-real-time altimetry to accurately direct oceanographic sampling toward fine-scale features. Over the last decade, this adaptive sampling methodology was successfully developed as showcased by several previous cruise examples. In 2023, the groundbreaking Surface Water and Ocean Topography (SWOT) mission fosters the development of a new, improved and fully automated version of the software (SPASSOv2.0) to address the need to target SWOT scales during in situ experiments.

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Publication Details

Journal
Journal of Atmospheric and Oceanic Technology
Published
2025-06-24
DOI
https://doi.org/10.1175/jtech-d-24-0071.1
Citations
5
Primary Topic
Oceanographic and Atmospheric Processes
Type
article
Field-Weighted Citation Impact
8.97
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article

A Software Package for an Adaptive Satellite-Based Sampling for Oceanographic Cruises (SPASSOv2.0): Tracking Fine-Scale Features for Physical and Biogeochemical Studies

Anne Petrenko, Alice Della Penna, Andrea M. Doglioli, Francesco Nencioli et al.
5 citations
Journal of Atmospheric and Oceanic Technology
Oceanographic and Atmospheric Processes
8.97
article

A Software Package for an Adaptive Satellite-Based Sampling for Oceanographic Cruises (SPASSOv2.0): Tracking Fine-Scale Features for Physical and Biogeochemical Studies

Anne Petrenko, Alice Della Penna, Andrea M. Doglioli, Francesco Nencioli, Louise Rousselet, Lloyd Izard, Francesco d’Ovidio, Stéphanie Barrillon
article en
5 citations

Abstract

Abstract During the past decade, increasing interests arose in understanding the role of fine scales (processes of the order of tens of kilometer) on ocean energy and biogeochemical budgets. However, in situ evidence of these processes remains poorly documented and represents only few specific ocean conditions. To fill this gap, new adaptive sampling feature-oriented strategies need to be developed. A possible approach is to target fine-scale features, identified from space, with in situ surveys. The Software Package for an Adaptive Satellite-based Sampling for Oceanographic cruises (SPASSO) package provides real-time analysis of satellite-derived products and diagnostics to identify fine-scale biophysical dynamics of any given study area. Besides the visualization of satellite products, the software computes a large variety of Eulerian and Lagrangian diagnostics inferred from near-real-time altimetry to accurately direct oceanographic sampling toward fine-scale features. Over the last decade, this adaptive sampling methodology was successfully developed as showcased by several previous cruise examples. In 2023, the groundbreaking Surface Water and Ocean Topography (SWOT) mission fosters the development of a new, improved and fully automated version of the software (SPASSOv2.0) to address the need to target SWOT scales during in situ experiments.

Journal of Atmospheric and Oceanic TechnologyVol. 42(8)
Centre National de la Recherche Scientifique (FR), Université de Toulon (FR), University of Auckland (NZ), Aix-Marseille Université (FR), Plymouth Marine Laboratory (GB), Sorbonne Université (FR), Collecte Localisation Satellites (France) (FR), University of Washington Applied Physics Laboratory (US), Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (FR), Institut Méditerranéen d’Océanologie (FR), Institut Universitaire Européen de la Mer (FR), Laboratoire des Sciences de l'Environnement Marin (FR), Institut de Recherche pour le Développement (FR)
Life below water
Openalex Percentile: Top 3%
Oceanographic and Atmospheric Processes
8.97
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