Skip to main navigation Skip to search Skip to main content

Downscaling hydrodynamics features to depict causes of major productivity of Sicilian-Maltese area and implications for resource management

  • Fulvio Capodici
  • , Giuseppe Ciraolo
  • , Simone Cosoli
  • , Antonino Maltese
  • , M. Cristina Mangano
  • , Gianluca Sarà

    Research output: Contribution to journalArticlepeer-review

    Abstract

    Chlorophyll-a (CHL-a) and sea surface temperature (SST) are generally accepted as proxies for water quality. They can be easily retrieved in a quasi-near real time mode through satellite remote sensing and, as such, they provide an overview of the water quality on a synoptic scale in open waters. Their distributions evolve in space and time in response to local and remote forcing, such as winds and currents, which however have much finer temporal and spatial scales than those resolvable by satellites in spite of recent advances in satellite remote-sensing techniques. Satellite data are often characterized by a moderate temporal resolution to adequately catch the actual sub-grid physical processes. Conventional pointwise measurements can resolve high-frequency motions such as tides or high-frequency wind-driven currents, however they are inadequate to resolve their spatial variability over wide areas. We show in this paper that a combined use of near-surface currents, available through High-Frequency (HF) radars, and satellite data (e.g., TERRA and AQUA/MODIS), can properly resolve the main oceanographic features in both coastal and open-sea regions, particularly at the coastal boundaries where satellite imageries fail, and are complementary tools to interpret ocean productivity and resource management in the Sicily Channel.

    Original languageEnglish
    Pages (from-to)815-825
    Number of pages11
    JournalScience of the Total Environment
    Volume628-629
    DOIs
    Publication statusPublished - 1 Jul 2018

    Fingerprint

    Dive into the research topics of 'Downscaling hydrodynamics features to depict causes of major productivity of Sicilian-Maltese area and implications for resource management'. Together they form a unique fingerprint.

    Cite this