A comprehensive oceanographic dataset of a subpolar, mid-latitude broad fjord: Fortune Bay, Newfoundland, Canada

While the dynamics of narrow fjords, i.e. narrow with respect to their internal Rossby radius, have been widely studied, it is only recently that interest in studying the physics of broad fjords was sparked due to their importance in glacial ice melting (in Greenland, especially). Here, we present a...

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Published in:Earth System Science Data
Main Authors: Donnet, Sebastien, Lazure, Pascal, Ratsimandresy, Andry, Han, Guoqi
Format: Text
Language:English
Published: 2020
Subjects:
Online Access:https://doi.org/10.5194/essd-12-1877-2020
https://essd.copernicus.org/articles/12/1877/2020/
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spelling ftcopernicus:oai:publications.copernicus.org:essd84000 2023-05-15T16:29:41+02:00 A comprehensive oceanographic dataset of a subpolar, mid-latitude broad fjord: Fortune Bay, Newfoundland, Canada Donnet, Sebastien Lazure, Pascal Ratsimandresy, Andry Han, Guoqi 2020-08-27 application/pdf https://doi.org/10.5194/essd-12-1877-2020 https://essd.copernicus.org/articles/12/1877/2020/ eng eng doi:10.5194/essd-12-1877-2020 https://essd.copernicus.org/articles/12/1877/2020/ eISSN: 1866-3516 Text 2020 ftcopernicus https://doi.org/10.5194/essd-12-1877-2020 2020-08-31T16:22:12Z While the dynamics of narrow fjords, i.e. narrow with respect to their internal Rossby radius, have been widely studied, it is only recently that interest in studying the physics of broad fjords was sparked due to their importance in glacial ice melting (in Greenland, especially). Here, we present a comprehensive set of data collected in Fortune Bay, a broad, mid-latitude fjord located on the northwest Atlantic shores. Aside from being wide (15–25 km width) and deep (600 m at its deepest), Fortune Bay also has the characteristics of having steep slopes, having weak tides and being strongly stratified from spring to fall. Thus, and since strong along-shore winds also characterize the region, this system is prone to interesting dynamics, generally taking the form of transient upwelling and downwelling travelling along its shores, similar to processes encountered in broad fjords of higher latitudes. The dataset collected to study those dynamics consists of water column physical parameters (temperature, salinity, currents and water level) and atmospheric forcing (wind speed and direction, atmospheric pressure, air temperature, and solar radiation) taken at several points around the fjord using oceanographic moorings and land-based stations. The program lasted 2 full years and achieved a good data return of 90 %, providing a comprehensive dataset not only for Fortune Bay studies but also for the field of broad fjord studies. The data are available publically from the SEANOE repository ( https://doi.org/10.17882/62314 Donnet and Lazure, 2020). Text Greenland Newfoundland Northwest Atlantic Copernicus Publications: E-Journals Canada Greenland Earth System Science Data 12 3 1877 1896
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collection Copernicus Publications: E-Journals
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language English
description While the dynamics of narrow fjords, i.e. narrow with respect to their internal Rossby radius, have been widely studied, it is only recently that interest in studying the physics of broad fjords was sparked due to their importance in glacial ice melting (in Greenland, especially). Here, we present a comprehensive set of data collected in Fortune Bay, a broad, mid-latitude fjord located on the northwest Atlantic shores. Aside from being wide (15–25 km width) and deep (600 m at its deepest), Fortune Bay also has the characteristics of having steep slopes, having weak tides and being strongly stratified from spring to fall. Thus, and since strong along-shore winds also characterize the region, this system is prone to interesting dynamics, generally taking the form of transient upwelling and downwelling travelling along its shores, similar to processes encountered in broad fjords of higher latitudes. The dataset collected to study those dynamics consists of water column physical parameters (temperature, salinity, currents and water level) and atmospheric forcing (wind speed and direction, atmospheric pressure, air temperature, and solar radiation) taken at several points around the fjord using oceanographic moorings and land-based stations. The program lasted 2 full years and achieved a good data return of 90 %, providing a comprehensive dataset not only for Fortune Bay studies but also for the field of broad fjord studies. The data are available publically from the SEANOE repository ( https://doi.org/10.17882/62314 Donnet and Lazure, 2020).
format Text
author Donnet, Sebastien
Lazure, Pascal
Ratsimandresy, Andry
Han, Guoqi
spellingShingle Donnet, Sebastien
Lazure, Pascal
Ratsimandresy, Andry
Han, Guoqi
A comprehensive oceanographic dataset of a subpolar, mid-latitude broad fjord: Fortune Bay, Newfoundland, Canada
author_facet Donnet, Sebastien
Lazure, Pascal
Ratsimandresy, Andry
Han, Guoqi
author_sort Donnet, Sebastien
title A comprehensive oceanographic dataset of a subpolar, mid-latitude broad fjord: Fortune Bay, Newfoundland, Canada
title_short A comprehensive oceanographic dataset of a subpolar, mid-latitude broad fjord: Fortune Bay, Newfoundland, Canada
title_full A comprehensive oceanographic dataset of a subpolar, mid-latitude broad fjord: Fortune Bay, Newfoundland, Canada
title_fullStr A comprehensive oceanographic dataset of a subpolar, mid-latitude broad fjord: Fortune Bay, Newfoundland, Canada
title_full_unstemmed A comprehensive oceanographic dataset of a subpolar, mid-latitude broad fjord: Fortune Bay, Newfoundland, Canada
title_sort comprehensive oceanographic dataset of a subpolar, mid-latitude broad fjord: fortune bay, newfoundland, canada
publishDate 2020
url https://doi.org/10.5194/essd-12-1877-2020
https://essd.copernicus.org/articles/12/1877/2020/
geographic Canada
Greenland
geographic_facet Canada
Greenland
genre Greenland
Newfoundland
Northwest Atlantic
genre_facet Greenland
Newfoundland
Northwest Atlantic
op_source eISSN: 1866-3516
op_relation doi:10.5194/essd-12-1877-2020
https://essd.copernicus.org/articles/12/1877/2020/
op_doi https://doi.org/10.5194/essd-12-1877-2020
container_title Earth System Science Data
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