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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EMODnet Atlantic Checkpoint
2018
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Online Access: | https://dx.doi.org/10.12770/44dbf673-9ffb-4607-953e-5dde28c1bc5a http://sextant.ifremer.fr/record/44dbf673-9ffb-4607-953e-5dde28c1bc5a/ |
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ftdatacite:10.12770/44dbf673-9ffb-4607-953e-5dde28c1bc5a |
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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 |
_version_ |
1778530247266795520 |