7f70cff5-87a2-4402-b548-84d9ed2f74e2 2025-01-28T08:39:47.923792Z ISO 19115-3 - Emodnet Checkpoint - Targeted Data Product ATLANTIC_CH10_Product_2 / Digital bathymetry uncertainty covering the North Atlantic, and a representative sample area within the North Atlantic. 2017-08-02T00:00:00 creation DOI:10.12770/7f70cff5-87a2-4402-b548-84d9ed2f74e2 Not Applicable This product is a map of the uncertainty of available digital bathymetry measurements for the North Atlantic Ocean. This is done for a spatial resolution feasible for this large area (25km x 25km). It is designed to assess the quality of the bathymetry readings with a view to supporting assessments of future need. The product is formulated through a number of characteristics of the data including age of measurement and slope. To assess the uncertainty associated with bathymetry measurements, at a feasible spatial resolution covering the whole North Atlantic Ocean. HR Wallingford q.harpham@hrwallingford.com pointOfContact EMODnet Atlantic Checkpoint back-end-atlantic-ckpt@cls.fr publisher HR Wallingford q.harpham@hrwallingford.com author Atlantic - CH10 - Bathymetry Used by challenges 2018-03-20 publication geonetwork.thesaurus.local.theme.emodnet-checkpoint.challenges High level analyzed Processing level of characteristics 2014-08-11 publication geonetwork.thesaurus.local.theme.emodnet-checkpoint.level.of.characteristics Delayed Production mode 2014-08-11 publication geonetwork.thesaurus.local.theme.emodnet-checkpoint.production.mode Elevation GEMET - INSPIRE themes, version 1.0 2009-09-22 publication geonetwork.thesaurus.external.theme.httpinspireeceuropaeutheme-theme Draft Validation 2015-01-29 publication geonetwork.thesaurus.local.theme.emodnet-checkpoint.status This EMODnet Atlantic Checkpoint data product (the “Product”) is the result of a “challenge” stress test specified by the call for tenders No MARE/2012/11. The challenge partners ( "the producer") were commissioned to perform a number of tests to evaluate marine data according to set user requirements. This product and any resultant data and metadata produced is a consequence of these tests and provided for interest only. The Product is provided on an “as is” basis, and the producer disclaims any and all warranties, conditions, or representations (express, implied, oral or written), relating to the Product or any part thereof, including, without limitation, any and all implied warranties of quality, performance, suitability or fitness for a particular purpose to the full extent permitted by law. The Producer and the Atlantic Checkpoint partners accept no liability for loss suffered or incurred as a result of reliance on the Product or any output of its use. The Producer shall not be liable for any economic loss, loss of profit, loss of business or contract, depletion of goodwill or otherwise, in each case whether direct, or indirect or any indirect loss whatsoever (howsoever caused) including loss or damage suffered as a result of an action brought by any person which arise out of or in connection with the use of the Product or inability to use the Product Good: The product meets more than 50% of the objectives specified by the challenge It is possible to build a coarse uncertainty grid for the entire North Atlantic Ocean. However, the value produced is relative and does not indicate a quantitative error. Data offered in standard formats. Limitations with downloading large quantities. Metadata is also missing and had to be approximated. Metadata was varied and complex, sometimes even within individual data products. Much metadata was missing and incomplete. On the whole, metadata was non-standard and variable leading to difficulties producing data products with multiple sources. It was also necessary to infer certain attributes (such as method) from the data values themselves by looking at the density and form of the depth readings. For each input dataset, the reported findings are as follows: - GEBCO Source Identifier Grids. It was possible to assign a value based on whether the bathymetry came from a particular source. - EMODnet : Usability problems prevented EMODnet metadata being obtained in the quantities necessary. - USGS : Extensive metadata available by survey and also regarding dataset compilation. - CHS : Limited metadata available, not much useful information. Information was inferred from the characteristics of the data." Improvement needed 683a590e-670c-4fdc-a997-77e8ecd42bd3 0a2d91cf-72c8-4f9d-abd3-feba0200e51a 72fea185-7548-40a6-9d4f-b26772b84a0d c399cd8c-5963-402f-9981-84d4c91cbd07 5b82913f-bc4f-4897-ad55-fcf4c88d40be grid utf8 oceans -98.64 12.19 -2.03 66.47 GeoTIFF https://doi.org/10.12770/7f70cff5-87a2-4402-b548-84d9ed2f74e2 WWW:LINK-1.0-http--metadata-URL DOI of the product DOI of the product https://sextant.ifremer.fr/documentation/atlcheckpoint/contexte/challenge10_product2.xml OGC:OWS-C CH10_product_02 Product visualization http://www.emodnet-atlantic.eu WWW:LINK Access to the website ATLANTIC_CH10_Product_2_1 Bathymetry uncertainty Seabed - Riverbed|Bathymetry and Elevation|Sea-floor depth (below mean sea level) {bathymetric depth}|High level analyzed|Delayed (mandatory) -98.64 12.19 -2.03 66.47 Horizontal Spatial Coverage AP.1.1 Horizontal coverage extent of product (eg : surface of the Mediterranean Sea) Real km**2 56355883 2018-04-03T00:00:00 North Atlantic Ocean is covered however only 23747408 km**2 are covered with appropriate metadata. Vertical Spatial Coverage AP.1.2 Vertical coverage extent of product Real meters 2018-04-03T00:00:00 Temporal Coverage AP.1.3 Temporal coverage extent of product Integer days 2018-04-03T00:00:00 Number of items AP.1.4 Count of all items in the dataset or sample. Describe the items which are counted. If the number is determined by sampling unit (density), define the sampling unit (eg size of mesh). Integer 50 2018-04-03T00:00:00 Taking into account usability and access, it is judged that 50% of the required metadata ((Age of bathymetry measurement, Type of instrument used for bathymetry readings) is available for this coverage. Number of Characteristics AP.2.1 Number of characteristics in product Integer 1 2018-04-03T00:00:00 Horizontal resolution AP.3.1 Horizontal mesh size or equivalent value for the given scale of product (eg 50m for 1/50 000) Integer meters 25000 2018-04-03T00:00:00 Vertical resolution AP.3.2 Average vertical sampling Real meters 2018-04-03T00:00:00 Temporal resolution AP.3.3 Temporal sampling interval of product Real days 2018-04-03T00:00:00 Thematic accuracy AP.3.4 Percentage error of the product and description of error concept for the product (100 words max) provided by expert Percentage % 89 Approximate proportion of area of the North Atlantic Ocean NOT covered by bathymetry data with the best available levels of uncertainty Temporal validity AP.4.1 Max elapsed time between last input data records update and product creation date. Minimum value 1/24 day. Integer days 2018-04-03T00:00:00 Usability AP.5.1 Good 2018-04-03T00:00:00 Overall, it is possible to build the product. Data offered in standard formats. Limitations with downloading large quantities.Metadata was varied and complex, sometimes even within individual data products. Much metadata was missing and incomplete. On the whole, metadata was non-standard and variable leading to difficulties producing data products with multiple sources. It was also necessary to infer certain attributes (such as method) from the data values themselves by looking at the density and form of the depth readings. For each input dataset, the reported findings are as follows: - GEBCO Source Identifier Grids. It was possible to assign a value based on whether the bathymetry came from a particular source. - EMODnet : Usability problems prevented EMODnet metadata being obtained in the quantities necessary. - USGS : Extensive metadata available by survey and also regarding dataset compilation. - CHS : Limited metadata available, not much useful information. Information was inferred from the characteristics of the data." Improvement needed Horizontal spatial coverage error P.APE.1.1 Percentage to which the extent of the horizontal spatial coverage of TPD is not compliant with the DPS extent in km**2(TDP_AP_1_1 - DPS_AP_1_1)*100/DPS_AP_1_1 Percentage % 0 Horizontal spatial coverage fitness for use error UD.FU.1.1 Combination of the errors of the product component Cn with the error of the selected input data set Ud Cn used for this component 0 Vertical spatial coverage error P.APE.1.2 Percentage to which the extent of the vertical spatial coverage of TPD is not compliant with the DPS extent in metres.(TDP_AP_1_2 - DPS_AP_1_2)*100/DPS_AP_1_2 Percentage % Vertical spatial coverage fitness for use error UD.FU.1.2 Combination of the errors of the product component Cn with the error of the selected input data set Ud Cn used for this component Temporal coverage error P.APE.1.3 Percentage to which the extent of the temporal coverage of TPD is not compliant with the DPS extent in days.(TDP_AP_1_3 - DPS_AP_1_3)*100/DPS_AP_1_3 Percentage % Temporal coverage fitness for use error UD.FU.1.3 Combination of the errors of the product component Cn with the error of the selected input data set Ud Cn used for this component Number of items error P.APE.1.4 Percentage to which the extent of the number of items of TPD is not compliant with the DPS number of items in days.(TDP_AP_1_4 - DPS_AP_1_4)*100/DPS_AP_1_4 Percentage % -50 Error count fitness for use error UD.FU.1.4 Combination of the errors of the product component Cn with the error of the selected input data set Ud Cn used for this component -50 Thematic content error P.APE.2.1 Percentage of completeness/Incompleteness of the number of characteristcs with respect to the list in DPS(TDP_AP_2_1 - DPS_AP_2_1)*100/DPS_AP_2_1 Percentage % 0 Horizontal resolution error P.APE.3.1 Percentage to which the product averaged horizontal mesh size or horizontal scale is not compliant with the DPS averaged mesh size or horizontal scale(DPS_AP_3_1 - TDP_AP_3_1)*100/DPS_AP_3_1 Percentage % 0 Horizontal resolution fitness for use error UD.FU.3.1 Combination of the errors of the product component Cn with the error of the selected input data set Ud Cn used for this component 0 Vertical resolution error P.APE.3.2 Percentage to which the product averaged vertical mesh size or vertical scale is not compliant with the DPS averaged mesh size or vertical scale(DPS_AP_3_2 - TDP_AP_3_2)*100/DPS_AP_3_2 Percentage % Vertical resolution fitness for use error UD.FU.3.2 Combination of the errors of the product component Cn with the error of the selected input data set Ud Cn used for this component Temporal sampling interval error P.APE.3.3 Percentage to which the product temporal sampling interval is not compliant with the one defined in DPS (percentage to be extracted from text of AP.3.3 measure)(DPS_AP_3_3 - TDP_AP_3_3)*100/DPS_AP_3_3 Percentage % Temporal resolution fitness for use error UD.FU.3.3 Combination of the error of the product component Cn with the error of the selected input data set Ud Cn used for this component Thematic accuracy errror P.APE.3.4 Compliance with the value domain of the accuracy defined in DPS (% extracted from thematic accuracy description)TDP_AP_3_4 Percentage % 89 Thematic accuracy fitness for use error UD.FU.3.4 Combination of the error of the product component Cn with the error of the selected input data set Ud Cn used for this component 89 Temporal validity error P.APE.4.1 Percentage to which the elapsed time of the product is not compliant with the max elapsed time specified in DPS.(DPS_AP_4_1 - TDP_AP_4_1)*100/DPS_AP_4_1 Percentage % Temporal validity fitness for use error UD.FU.4.1 Combination od errors of extent to which the elapsed time between last selected input data record update and the product creation date is compliant with the max elapsed time specified in DPS