Probability that the seafloor is below the halocline in the Baltic - Original point dataset ÔÇô Version 2022
Based on DHI operational Hydrodynamic 3D Model DKBS2hd model run results, a point dataset describing for each year the probability of a certain seabed location in the Baltic Sea being located below the deep halocline has been created. The spatial coverage is the Baltic Sea. The spatial resolution is 5km. The temporal coverage is 20 years (2001-2020). The dataset is a point shapefile, the attribute table of which contains the following columns
- 20 columns whose name is in the form p[yyyy] (e.g; p2001), where yyyy is the year: for the year yyyy, probability of the point location being located below the deep halocline
- column ÔÇÿmeanÔÇÖ: probability average (i.e. average of the 20 yearly probabilities)
- column ÔÇÿstdÔÇÖ: probability standard deviation across the 20 years
The development of the original point dataset was funded by the EMODnet lot ÔÇÿSeabed HabitatsÔÇÖ for use in the development of the EUSeaMap product, more specifically in modeling the spatial distribution of the biological zones ÔÇÿcircalittoralÔÇÖ and ÔÇÿoffshore circalittoralÔÇÖ. According to the EUNIS habitat classification, in the Baltic Sea the circalittoral is above the halocline/pycnocline, while the offshore circalittoral is below.
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Alternate title | PH_BAL_000l_AVG_HALOCLINE_PT |
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Date | 2022-09-15T12:00:00 |
Date type | Publication: Date identifies when the resource was issued |
Unique resource identifier | Probability that the seafloor is below the halocline in the Baltic - Original point dataset ÔÇô Version 2022 |
Credit | EMODnet broad-scale seabed habitat map for Europe (2022), funded by the European Commission |
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Credit | DHI, DKBS2, Hydrodynamic Model Setup and Validation, Technical note, DHI, August 2018. Available upon request to the author (see section 'author' in the current metadata) |
Status | Completed: Production of the data has been completed |
Point of contact
Individual name | Poul Hammer |
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Organisation name | DHI |
Electronic mail address | ph@dhigroup.com |
Role | Author: Party who authored the resource |
Point of contact
Individual name | Mickaël Vasquez |
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Organisation name | Ifremer |
Electronic mail address | Mickael.Vasquez@ifremer.fr |
Role | Originator: Party who created the resource |
Point of contact
Individual name | Zyad Al-Hamdani |
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Organisation name | GEUS |
Electronic mail address | azk@geus.dk |
Role | Originator: Party who created the resource |
Point of contact
Individual name | Verner Brandbyge Ernstsen |
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Organisation name | GEUS |
Electronic mail address | vbe@geus.dk |
Role | Originator: Party who created the resource |
Descriptive keywords
GEMET - INSPIRE themes, version 1.0 | |
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GDI-Vlaanderen Trefwoorden | Metadata GDI-Vl-conform |
Other keywords |
Halocline
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Picnoclyne
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Other keywords | Baltic Sea |
Spatial representation type | Vector: Vector data is used to represent geographic data |
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Spatial resolution
Denominator | 5 |
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Language | English |
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Character set | UTF8: 8-bit variable size UCS Transfer Format, based on ISO/IEC 10646 |
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Reference System Information
Unique resource identifier | 32633 |
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Codespace | EPSG |
Hierarchy level | Dataset: Information applies to the dataset |
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Lineage
Statement | The model was run by DHI in August 2022. Based on the model results, the final dataset was produced using the following procedure: Firstly the Brunt-Vaisala frequency squared (N2 = -g/¤ü┬Àd¤ü/dz, where g is the acceleration due to gravity, ¤ü is local water density as calculated by the hydrodynamic model and z is the vertical distance) was calculated in every model grid point horizontally and vertically for every time step. The Brunt-Vaisala frequency squared represents the strength of the stratification of the water column at a certain location. Secondly for every time step and for every horizontal grid point, the depth of the vertical maximum Brunt-Vaisala frequency squared was determined ÔÇô this depth is assumed to represent the location of the deep halocline. In order to exclude any transient haloclines in the upper water column, a limit on the halocline depth of 25m was introduced such that only the water column below 25m was considered. Another limitation introduced in the analysis is that N^2 has to be above 0.0005s^-2 before it is accepted. This means that if N^2 at a certain time in a certain horizontal location is below this limit in the whole water column, then no halocline is identified. This lower limit on N^2 was introduced after some trial-and-error, in order to avoid identifying ÔÇÿfalseÔÇÖ haloclines. Notice that this limit is influenced by both physical and model resolution considerations. Thirdly the annual probability of a certain seabed location being located under the deep halocline was calculated as the amount of time steps where a deep halocline was identified divided by the total number of time steps. The above procedure has been performed for the years delivered from 2001 to 2020 (incl.). |
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Distribution format | ESRI Shapefile (Version: 1.0) | ||||||||
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File identifier | 9e4edb30-aefb-4551-9c6f-7cf324b4edb3 | ||||||||
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Metadata language | English | ||||||||
Character set | UTF8: 8-bit variable size UCS Transfer Format, based on ISO/IEC 10646 | ||||||||
Hierarchy level | Dataset: Information applies to the dataset | ||||||||
Date stamp | 2022-09-12T14:56:09.194Z | ||||||||
Metadata standard name | ISO 19115:2003/19139 | ||||||||
Metadata standard version | 1.0 | ||||||||
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