Vertical Offshore Reference Frames

Separation between MSL and LAT for the UK and Eire Vertical Offshore Reference Frame (VORF 2008)

Vertical Offshore Reference Frames (VORF) is a set of high resolution surface models, published and maintained by the UK Hydrographic Office, which together define a vertical datum for hydrographic surveying and charting in the United Kingdom and Ireland.[1][2]

Tidal surface models

The following tidal and sea level surfaces are included:

The surfaces are modelled with respect to the terrestrial reference frame used for satellite navigation (GNSS) positioning, ETRS89. Thus VORF directly permits the use of high precision GNSS in hydrographic survey, and also allows the capability of transforming vertical data between the different datums.[1] The UK Maritime & Coastguard Agency requires the use of VORF for tidal reductions as part of its civil hydrography programme.[3]

Files

A main product of the VORF project was the gridded vertical correction files which deliver the capability to transfer heights and depths from one vertical reference system to another, "allowing the direct use of depth data from surveys which is referred to a WGS84 compatible datum rather than Chart Datum and thus enabling Hydrographic surveyors to survey without the need to measure tides".[4]

This is accomplished via a set of files, each file containing a grid of height corrections to apply to GNSS-derived heights to translate them to one of several VORF models.[5] There is higher resolution in estuaries and inlets, but for most of the areas covered, there is a single height correction for each roughly 900 by 500 metre rectangle. VORF correction files are purchased from the same source as Admiralty charts.[6]

Format

The Admiralty provides VORF data in the form of ".vrf" files, each of which contains data representing the separation between a given pair of datums. The filename indicates the VORF model version, the south-west corner of the area covered, and the pair of datums it represents.

The files can be bought and downloaded from the Admiralty Marine Data Portal, and are in plain text (ASCII) format, so can be viewed in any standard text editor. They contain a list of positions forming a regular grid. At each position the separation between the datums is given, and the uncertainty in this value. Positions are in decimal degrees and separation and uncertainty are in metres.

The grid resolution is 0.008° over the majority of the VORF area, which corresponds to boxes of approximately 900 x 500 metres. There is higher resolution (typically 0.002° to 0.0005°) around rivers and estuaries, and around Portland Bill. Where a file contains higher-resolution data, the high-resolution values are at the end of the file.

Pricing

The data are sold by the "block", with a VORF block covering an area of 0.088° latitude by 0.16° longitude. This makes each block about a 10 kilometre square (96 square kilometres), containing about 220 data points. The price (as at July 2021) starts at £216 per block, with discounts for quantity.

Use

The VORF datum surfaces will generally be used by automated survey software, and for this purpose, it may be necessary to rearrange the data to create a suitable input file for the software in question. For example, software packages EIVA Navipac and Qinsy require specialised procedures.[7][8]

Development history

The VORF project ran from 2005 as a collaborative research project, sponsored by the UKHO, with a consortium comprising Proudman Oceanographic Laboratory, DTU, and led by University College London.[9] It was delivered to the UKHO in 2008. VORF was developed using satellite altimetry, tide gauge observations, geoid and tidal modelling, and GNSS observations.[10][11] VORF meets its target inshore accuracy of 10 cm in most of the domain of applicability.[12]

See also

References

  1. ^ a b "Vertical Offshore Reference Frames". Ucl.ac.uk. Archived from the original on 10 May 2017. Retrieved 16 October 2017.
  2. ^ "FIG Guide on the Development of a Vertical Reference Surface for Hydrography" (PDF). International Federation of Surveyors. September 2006. pp. 19, 20. Archived (PDF) from the original on 2023-04-11. Retrieved 2023-05-18.
  3. ^ "UK CIVIL HYDROGRAPHY PROGRAMME SURVEY SPECIFICATION 2020" (PDF). Maritime & Coastguard Agency. 2020. pp. 14, 15. Archived (PDF) from the original on 2023-04-11. Retrieved 2023-05-18.
  4. ^ "UNITED KINGDOM GENERIC NATIONAL REPORT TO REGIONAL HYDROGRAPHIC COMMISSIONS" (PDF). assets.publishing.service.gov.uk. Archived (PDF) from the original on 30 November 2020. Retrieved 23 November 2020.
  5. ^ "VORF for dummies". www.sealand-systems.co.uk. Archived from the original on 22 May 2022. Retrieved 23 November 2020.
  6. ^ "Admiralty Marine Data Portal". datahub.admiralty.co.uk. Archived from the original on 15 November 2020. Retrieved 23 November 2020.
  7. ^ "How to create a VORF geoid model from an ASCII file". EIVA. 26 October 2020. Archived from the original on 7 June 2023. Retrieved 13 August 2023.
  8. ^ "How-to Create a Geoid or VORF Model from a text file (v8.15 and older)". Qinsy. Archived from the original on 16 July 2021.
  9. ^ "Joining Up Land and Sea". Hydro-international.com. Archived from the original on 16 October 2017. Retrieved 16 October 2017.
  10. ^ Turner, J; Iliffe, J; Ziebart, M; Wilson, C; Horsburgh, K (2010). "Interpolation of Tidal Levels in the Coastal Zone for the Creation of a Hydrographic Datum". Journal of Atmospheric and Oceanic Technology. 27 (3): 605–613. Bibcode:2010JAtOT..27..605T. doi:10.1175/2009JTECHO645.1. S2CID 122036770.
  11. ^ Iliffe, J; Ziebart, M; Turner, J (2007). "A New Methodology for Incorporating Tide Gauge Data in Sea Surface Topography Models". Marine Geodesy. 30 (4): 271-296. Bibcode:2007MarGe..30..271I. doi:10.1080/01490410701568384. S2CID 129459667.
  12. ^ Iliffe, J. C.; Ziebart, M. K.; Turner, J. F.; Talbot, A. J.; Lessnoff, A. P. (2013). "Accuracy of vertical datum surfaces in coastal and offshore zones". Survey Review. 45 (331): 254–262. Bibcode:2013SurRv..45..254I. doi:10.1179/1752270613Y.0000000040. S2CID 129864442.

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