ATLANTIC_CH04_Product_2 / Bottom temperature time-series (1915-2014) ...
Pentadal (5-year average) resolution time-series of bottom temperature for North Atlantic ocean area deeper than 1000m. Calculate the 5 year average bottom temperature at each point on the grid and then calculate the area weighted average. ...
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| Format: | Dataset |
| Language: | unknown |
| Published: |
EMODnet Atlantic Checkpoint
2018
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| Subjects: | |
| Online Access: | https://dx.doi.org/10.12770/100ebc6a-2459-432c-bd2f-89f9fa57d148 http://sextant.ifremer.fr/record/100ebc6a-2459-432c-bd2f-89f9fa57d148/ |
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ftdatacite:10.12770/100ebc6a-2459-432c-bd2f-89f9fa57d148 |
|---|---|
| record_format |
openpolar |
| spelling |
ftdatacite:10.12770/100ebc6a-2459-432c-bd2f-89f9fa57d148 2023-10-01T03:57:51+02:00 ATLANTIC_CH04_Product_2 / Bottom temperature time-series (1915-2014) ... Cefas 2018 https://dx.doi.org/10.12770/100ebc6a-2459-432c-bd2f-89f9fa57d148 http://sextant.ifremer.fr/record/100ebc6a-2459-432c-bd2f-89f9fa57d148/ unknown EMODnet Atlantic Checkpoint Unrestricted • Temporal resolution objectives were not achieved for that product. • Spatial resolution of 1 degree is suitable for the basin scale analysis; • As a basin wide average care is also needed in interpretation. This meets the challenge objective to test the data availability but there would be alternative metrics of subsurface change appropriate as part of a climate assessment while this should not be used for such a purpose. In the absence of a full research project the input data needs to come from a high level product as the raw data is too sparse, in order to create a robust optimal analysis of the sparse data the producers have to bin the data into a course resolution vertically and temporally, and can only do this when the data is adequate. So covering the full century at 5 year resolution is not possible, as a basin wide average care is also needed in interpretation. The spatial coverage is adequate but for a timeseries like this the primary need is for the temporal coverage and so this product is limited. This EMODnet Atlantic Checkpoint data product is the result of a “challenge” stress test forming a part of a group of tests to evaluate marine data capacity according to set user requirements. The products do not constitute a climate assessment and should not be used for this purpose. Limited: The product fails in most aspects to meet the objectives but meet some. Atlantic - CH04 - Climate High level analyzed Delayed Oceanographic geographical features Draft Dataset dataset 2018 ftdatacite https://doi.org/10.12770/100ebc6a-2459-432c-bd2f-89f9fa57d148 2023-09-04T13:07:23Z Pentadal (5-year average) resolution time-series of bottom temperature for North Atlantic ocean area deeper than 1000m. Calculate the 5 year average bottom temperature at each point on the grid and then calculate the area weighted average. ... 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 - CH04 - Climate High level analyzed Delayed Oceanographic geographical features Draft |
| spellingShingle |
Atlantic - CH04 - Climate High level analyzed Delayed Oceanographic geographical features Draft Cefas ATLANTIC_CH04_Product_2 / Bottom temperature time-series (1915-2014) ... |
| topic_facet |
Atlantic - CH04 - Climate High level analyzed Delayed Oceanographic geographical features Draft |
| description |
Pentadal (5-year average) resolution time-series of bottom temperature for North Atlantic ocean area deeper than 1000m. Calculate the 5 year average bottom temperature at each point on the grid and then calculate the area weighted average. ... |
| format |
Dataset |
| author |
Cefas |
| author_facet |
Cefas |
| author_sort |
Cefas |
| title |
ATLANTIC_CH04_Product_2 / Bottom temperature time-series (1915-2014) ... |
| title_short |
ATLANTIC_CH04_Product_2 / Bottom temperature time-series (1915-2014) ... |
| title_full |
ATLANTIC_CH04_Product_2 / Bottom temperature time-series (1915-2014) ... |
| title_fullStr |
ATLANTIC_CH04_Product_2 / Bottom temperature time-series (1915-2014) ... |
| title_full_unstemmed |
ATLANTIC_CH04_Product_2 / Bottom temperature time-series (1915-2014) ... |
| title_sort |
atlantic_ch04_product_2 / bottom temperature time-series (1915-2014) ... |
| publisher |
EMODnet Atlantic Checkpoint |
| publishDate |
2018 |
| url |
https://dx.doi.org/10.12770/100ebc6a-2459-432c-bd2f-89f9fa57d148 http://sextant.ifremer.fr/record/100ebc6a-2459-432c-bd2f-89f9fa57d148/ |
| genre |
North Atlantic |
| genre_facet |
North Atlantic |
| op_rights |
Unrestricted • Temporal resolution objectives were not achieved for that product. • Spatial resolution of 1 degree is suitable for the basin scale analysis; • As a basin wide average care is also needed in interpretation. This meets the challenge objective to test the data availability but there would be alternative metrics of subsurface change appropriate as part of a climate assessment while this should not be used for such a purpose. In the absence of a full research project the input data needs to come from a high level product as the raw data is too sparse, in order to create a robust optimal analysis of the sparse data the producers have to bin the data into a course resolution vertically and temporally, and can only do this when the data is adequate. So covering the full century at 5 year resolution is not possible, as a basin wide average care is also needed in interpretation. The spatial coverage is adequate but for a timeseries like this the primary need is for the temporal coverage and so this product is limited. This EMODnet Atlantic Checkpoint data product is the result of a “challenge” stress test forming a part of a group of tests to evaluate marine data capacity according to set user requirements. The products do not constitute a climate assessment and should not be used for this purpose. Limited: The product fails in most aspects to meet the objectives but meet some. |
| op_doi |
https://doi.org/10.12770/100ebc6a-2459-432c-bd2f-89f9fa57d148 |
| _version_ |
1778529954578825216 |