Literature DB >> 29455131

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

Fulvio Capodici1, Giuseppe Ciraolo2, Simone Cosoli3, Antonino Maltese4, M Cristina Mangano5, Gianluca Sarà6.   

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.
Copyright © 2018. Published by Elsevier B.V.

Entities:  

Keywords:  Biology; CHL-a; HF radars; SST; Sea surface currents; Spatial correlation

Year:  2018        PMID: 29455131     DOI: 10.1016/j.scitotenv.2018.02.106

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  1 in total

1.  Applicability of Dynamic Energy Budget (DEB) models across steep environmental gradients.

Authors:  Cristián J Monaco; Christopher D McQuaid
Journal:  Sci Rep       Date:  2018-11-06       Impact factor: 4.379

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.