ATLANTIC_CH01_Product_4 / Map of offshore windfarm siting suitability in the area off S. Miguel Island (Azores archipelago) ...

The three digital maps provided in this product aim to assess the degree of Offshore windfarm siting suitability existing over a geographical area with a focal point off the S. Miguel island (Azores Archipelago), located in the middle of the North Atlantic ocean. The maps display respectively the sp...

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Bibliographic Details
Main Author: Instituto Português Do Mar E Da Atmosfera IPMA
Format: Dataset
Language:unknown
Published: EMODnet Atlantic Checkpoint 2018
Subjects:
Online Access:https://dx.doi.org/10.12770/44dbf673-9ffb-4607-953e-5dde28c1bc5a
http://sextant.ifremer.fr/record/44dbf673-9ffb-4607-953e-5dde28c1bc5a/
id ftdatacite:10.12770/44dbf673-9ffb-4607-953e-5dde28c1bc5a
record_format openpolar
spelling ftdatacite:10.12770/44dbf673-9ffb-4607-953e-5dde28c1bc5a 2023-10-01T03:57:58+02:00 ATLANTIC_CH01_Product_4 / Map of offshore windfarm siting suitability in the area off S. Miguel Island (Azores archipelago) ... Instituto Português Do Mar E Da Atmosfera IPMA 2018 https://dx.doi.org/10.12770/44dbf673-9ffb-4607-953e-5dde28c1bc5a http://sextant.ifremer.fr/record/44dbf673-9ffb-4607-953e-5dde28c1bc5a/ unknown EMODnet Atlantic Checkpoint Unrestricted The product is scored as limited because some key data inputs presented either important gaps or limited quality to conveniently support OWF siting in this island study area though some data components attained the imposed requirements. Limited: The product fails in most aspects to meet the objectives but meet some. Atlantic - CH01 - Windfarm Siting High level analyzed Delayed Energy resources Draft Dataset dataset 2018 ftdatacite https://doi.org/10.12770/44dbf673-9ffb-4607-953e-5dde28c1bc5a 2023-09-04T13:07:23Z The three digital maps provided in this product aim to assess the degree of Offshore windfarm siting suitability existing over a geographical area with a focal point off the S. Miguel island (Azores Archipelago), located in the middle of the North Atlantic ocean. The maps display respectively the spatial distribution of the average and lowest windfarm siting suitability scores along with the average wind speed distribution over a time period of 10 years. They are part of a process set up to assess the fit for use quality of the currently available datasets to support a preliminary selection of potential offshore sites for wind energy development.To build these maps, GIS tools were applied to several key spatial datasets from the 5 data type domains considered in the project: Air, Marine Water, Riverbed/Seabed, Biota/Biology and Human Activities, collated during the initial stages of the project. Initially, each selected dataset was formatted and clipped to the study area extent and spatially classified ... Dataset North Atlantic DataCite Metadata Store (German National Library of Science and Technology)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
topic Atlantic - CH01 - Windfarm Siting
High level analyzed
Delayed
Energy resources
Draft
spellingShingle Atlantic - CH01 - Windfarm Siting
High level analyzed
Delayed
Energy resources
Draft
Instituto Português Do Mar E Da Atmosfera IPMA
ATLANTIC_CH01_Product_4 / Map of offshore windfarm siting suitability in the area off S. Miguel Island (Azores archipelago) ...
topic_facet Atlantic - CH01 - Windfarm Siting
High level analyzed
Delayed
Energy resources
Draft
description The three digital maps provided in this product aim to assess the degree of Offshore windfarm siting suitability existing over a geographical area with a focal point off the S. Miguel island (Azores Archipelago), located in the middle of the North Atlantic ocean. The maps display respectively the spatial distribution of the average and lowest windfarm siting suitability scores along with the average wind speed distribution over a time period of 10 years. They are part of a process set up to assess the fit for use quality of the currently available datasets to support a preliminary selection of potential offshore sites for wind energy development.To build these maps, GIS tools were applied to several key spatial datasets from the 5 data type domains considered in the project: Air, Marine Water, Riverbed/Seabed, Biota/Biology and Human Activities, collated during the initial stages of the project. Initially, each selected dataset was formatted and clipped to the study area extent and spatially classified ...
format Dataset
author Instituto Português Do Mar E Da Atmosfera IPMA
author_facet Instituto Português Do Mar E Da Atmosfera IPMA
author_sort Instituto Português Do Mar E Da Atmosfera IPMA
title ATLANTIC_CH01_Product_4 / Map of offshore windfarm siting suitability in the area off S. Miguel Island (Azores archipelago) ...
title_short ATLANTIC_CH01_Product_4 / Map of offshore windfarm siting suitability in the area off S. Miguel Island (Azores archipelago) ...
title_full ATLANTIC_CH01_Product_4 / Map of offshore windfarm siting suitability in the area off S. Miguel Island (Azores archipelago) ...
title_fullStr ATLANTIC_CH01_Product_4 / Map of offshore windfarm siting suitability in the area off S. Miguel Island (Azores archipelago) ...
title_full_unstemmed ATLANTIC_CH01_Product_4 / Map of offshore windfarm siting suitability in the area off S. Miguel Island (Azores archipelago) ...
title_sort atlantic_ch01_product_4 / map of offshore windfarm siting suitability in the area off s. miguel island (azores archipelago) ...
publisher EMODnet Atlantic Checkpoint
publishDate 2018
url https://dx.doi.org/10.12770/44dbf673-9ffb-4607-953e-5dde28c1bc5a
http://sextant.ifremer.fr/record/44dbf673-9ffb-4607-953e-5dde28c1bc5a/
genre North Atlantic
genre_facet North Atlantic
op_rights Unrestricted
The product is scored as limited because some key data inputs presented either important gaps or limited quality to conveniently support OWF siting in this island study area though some data components attained the imposed requirements.
Limited: The product fails in most aspects to meet the objectives but meet some.
op_doi https://doi.org/10.12770/44dbf673-9ffb-4607-953e-5dde28c1bc5a
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