VDatum and Strategies for National Coverage

Myers, Edward; Heß, Kurt; Yang, Zhe; Xu, Jiangtao; Wong, Adeline M.; Doyle, Debra; Woolard, Jason; White, Stephen; Le, Bang; Gill, Stephen K.; Hovis, Gerald

doi:10.1109/oceans.2007.4449348

Cited by 13 publications

(23 citation statements)

References 4 publications

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“…A vertical transformation for each site was generated through the National Oceanic and Atmospheric Administration (NOAA, 2012) VDatum program (version 2.3.3) by translating the orthometric datum to local mean sea level using modeled gridded topography of the sea surface specific to the geographic region. From the local mean sea level, a second transformation to the local mean tidal level (MTL) datum was calculated using interpolated tidal datum fields within a structured marine grid (Myers et al, 2007;White et al, 2011). The ''Louisiana/ Mississippi Eastern Louisiana Mississippi Sound Version 2'' area was used to obtain a transformation factor of 0.1196, 0.1178, and 0.1163 from NAD83 to local MTLs for sites WCB, CCB, and ECB, respectively.…”

Section: Spatial Modelingmentioning

confidence: 99%

Modeling of Inundation Characteristics of a Microtidal Saltmarsh, Grand Bay National Estuarine Research Reserve, Mississippi

Ennis

Peterson

Strange

2013

Journal of Coastal Research

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Section: Spatial Modelingmentioning

confidence: 99%

Modeling of Inundation Characteristics of a Microtidal Saltmarsh, Grand Bay National Estuarine Research Reserve, Mississippi

Ennis

Peterson

Strange

2013

Journal of Coastal Research

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“…Data collected along the Atlantic coast before 1980 are usually referenced to Mean Low Water (MLW) tidal datum, whereas Mean Lower Low Water (MLLW) is the tidal datum for most NOS hydrographic surveys conducted since 1980. Prior to creating regional surface models, depths are converted to a standard vertical reference in areas where the VDatum transformation software is available [11,12]. Software for datum conversions such as NADCON and VDatum are essential to ensure consistent merging of coastal geospatial data [13].…”

Section: Merging Historical and Modern Datamentioning

confidence: 99%

Assessing 155 Years of Hydrographic Survey Data for High Resolution Bathymetry Grids

2007

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Seafloor representation over vast areas requires the fusion of depth measurements from numerous data sets having variable spatial resolution and coverage. The most extensive coverage for U.S. coastal waters usually consists of data from hydrographic surveys conducted between 1850 and 2006. Intended for navigational charts, these survey projects have been planned, collected, and processed by the National Oceanic and Atmospheric Administration's National Ocean Service and its predecessor organizations over the past 155 years. Integrating the extremely dense and localized data from modern multibeam echo sounders with the much more significant area coverage of older survey data presents the fundamental challenge when creating high resolution coastal bathymetry grids.Data from nearly 7000 hydrographic surveys are being assessed to produce bathymetry grids for the coastal U.S. Every survey in the database is associated with metadata attributes summarized from the survey's descriptive report. Compiling high quality coastal bathymetry over extensive regions involves several hundred surveys whose range in age often spans over a century. Compared to survey measurements and the original hydrographic processing shortly after field collection, the greater uncertainties in representing the seafloor come from errors in the archive data retrieval processing that occurred years after field collection, as well as from the unknown depths between sparse soundings of historic surveys, whose interpolated values will constitute a substantial portion of gridded bathymetric coverage for the entire U.S. coast.

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“…Tidal datums are key components in NOAA's Vertical Datum transformation software tool (VDatum) [3][4][5]. This free VDatum software tool allows users to vertically transform geospatial data among a variety of three-dimensional ellipsoidal, orthometric, and tidal datum reference systems.…”

Section: Introductionmentioning

confidence: 99%

“…The VDatum database is crucial to coastal applications that rely on vertical accuracy in bathymetric, topographic, and coastline datasets. For example, using inconsistent datums from multiple data sources can cause artificial discontinuities [3,4], which can be problematic, especially when accurate maps are needed by federal, state, and local authorities to make informed decisions. In this case, applying VDatum to merge multiple data sources into one entire data set by using a common vertical datum reference system can be particularly useful.…”

Section: Introductionmentioning

confidence: 99%

“…The goal of the VDatum project is to develop a seamless nationwide utility that would facilitate more effective sharing of vertical data and also complement a vision of linking such data through national elevation and shoreline databases [3,4]. The VDatum software tool is currently available in the coastal regions covering the continental United States, Puerto Rico, and the U.S. Virgin Islands [1].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Modeling Tidal Datums and Spatially Varying Uncertainty in the Texas and Western Louisiana Coastal Waters

Myers

Shi

et al. 2019

JMSE

Self Cite

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Tidal datums are key components in NOAA’s Vertical Datum transformation project (VDatum), which enables effective vertical transformation of the water level between tidal, orthometric, and ellipsoid -based three-dimensional reference systems. An initial application of modeling tidal datums was developed for the coastal waters of Texas and western Louisiana in 2013. The goals of the current work include: (1) updating the tidal model by using the best available shoreline, bathymetry, and tide station data; (2) implementing a recently developed statistical interpolation method for interpolating modeled tidal datums and computing tidal datum uncertainties; and (3) using modeled tidal datums to upgrade non-tidal polygons for enhancing the quality of the VDatum marine grid population. The updated tidal model outperformed the previous tidal model in most cases. The statistical interpolation method is able to limit the interpolated tidal datums to within a user-defined model error (0.01 m in this work) and produce a spatially varying uncertainty field for each interpolated tidal datum field. The upgraded non-tidal polygons enhanced the quality of the VDatum marine grid population. This paper will introduce the detailed procedures of this modeling work, present and discuss the obtained results, share the effective methods used for improving model performance and lessons learned in the model assessments, and analyze the improvement of the current tidal model in comparison with the previous tidal model.

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VDatum and Strategies for National Coverage

Cited by 13 publications

References 4 publications

Modeling of Inundation Characteristics of a Microtidal Saltmarsh, Grand Bay National Estuarine Research Reserve, Mississippi

Modeling of Inundation Characteristics of a Microtidal Saltmarsh, Grand Bay National Estuarine Research Reserve, Mississippi

Assessing 155 Years of Hydrographic Survey Data for High Resolution Bathymetry Grids

Modeling Tidal Datums and Spatially Varying Uncertainty in the Texas and Western Louisiana Coastal Waters

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