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Sökning: id:"swepub:oai:DiVA.org:hig-37341" > Colorado geoid comp...

Colorado geoid computation experiment : overview and summary

Wang, Yan Ming (författare)
National Geodetic Survey, USA,Natl Geodet Survey, 1315 East West Highway, Silver Spring, MD 20910 USA.
Sanchez, Laura (författare)
Technical University of Munich, Germany
Ågren, Jonas, 1967- (författare)
KTH,Högskolan i Gävle,Samhällsbyggnad,Univ Gävle, Dept Comp & Geospatial Sci, S-80176 Gävle, Sweden.;Swedish Mapping Cadastral & Land Registrat Author, Lantmäteriet, S-80182 Gävle, Sweden.;KTH Royal Inst Technol, S-10044 Stockholm, Sweden.,Geodesi och satellitpositionering
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Huang, Jianliang (författare)
Canadian Geodetic Survey
Forsberg, René (författare)
Technical University of Denmark
Abd-Elmotaal, Hussein A (författare)
Minia University, Egypt
Ahlgren, Kevin (författare)
National Geodetic Survey, USA
Barzaghi, Riccardo (författare)
Politecnico Di Milano, Italy
Basic, Tomislav (författare)
University of Zagreb, Croatia
Carrion, Daniela (författare)
Politecnico Di Milano, Italy
Claessens, Sten (författare)
Curtin University, Australia
Erol, Bihter (författare)
Istanbul Technical University, Turkey
Erol, Serdar (författare)
Istanbul Technical University, Turkey
Filmer, Mick (författare)
Curtin University, Australia
Grigoriadis, Vassilios N. (författare)
Aristotle University of Thessaloniki, Greece
Isik, Mustafa Serkan (författare)
Istanbul Technical University, Turkey
Jiang, Tao (författare)
Chinese Academy of Surveying and Mapping
Koc, Öykü (författare)
Istanbul Technical University, Turkey
Krcmaric, Jordan (författare)
National Geodetic Survey, USA
Li, Xiaopeng (författare)
National Geodetic Survey, USA
Liu, Qing (författare)
University of Munich, Germany
Matsuo, Koji (författare)
Geospatial Information Authority of Japan
Natsiopoulos, Dimitris A (författare)
Aristotle University of Thessaloniki, Greece
Novak, Pavel (författare)
University of West Bohemia, Czech Republic
Pail, Roland (författare)
University of Munich, Germany
Pitonak, Martin (författare)
University of West Bohemia, Czech Republic
Schmidt, Michael (författare)
University of Munich, Germany
Varga, Matej (författare)
Institute of Geodesy and Photogrammetry, GSEG, ETH Zürich, Switzerland
Vergos, Georgios S (författare)
Aristotle University of Thessaloniki, Greece
Veronneau, Marc (författare)
Canadian Geodetic Survey
Willberg, Martin (författare)
University of Munich, Germany
Zingerle, Philipp (författare)
University of Munich, Germany,Tech Univ Munich, Inst Astron & Phys Geodesy, Arcisstr 21, D-80333 Munich, Germany.
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National Geodetic Survey, USA Natl Geodet Survey, 1315 East West Highway, Silver Spring, MD 20910 USA (creator_code:org_t)
2021-11-03
2021
Engelska.
Ingår i: Journal of Geodesy. - : Springer. - 0949-7714 .- 1432-1394. ; 95:12
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • The primary objective of the 1-cm geoid experiment in Colorado (USA) is to compare the numerous geoid computation methods used by different groups around the world. This is intended to lay the foundations for tuning computation methods to achieve the sought after 1-cm accuracy, and also evaluate how this accuracy may be robustly assessed. In this experiment, (quasi)geoid models were computed using the same input data provided by the US National Geodetic Survey (NGS), but using different methodologies. The rugged mountainous study area (730 km x 560 km) in Colorado was chosen so as to accentuate any differences between the methodologies, and to take advantage of newly collected GPS/leveling data of the Geoid Slope Validation Survey 2017 (GSVS17) which are now available to be used as an accurate and independent test dataset. Fourteen groups from fourteen countries submitted a gravimetric geoid and a quasigeoid model in a 1' x 1' grid for the study area, as well as geoid heights, height anomalies, and geopotential values at the 223 GSVS17 marks. This paper concentrates on the quasigeoid model comparison and evaluation, while the geopotential value investigations are presented as a separate paper (Sanchez et al. in J Geodesy 95(3):1. https://doi.org/10.1007/s00190-021-01481-0, 2021). Three comparisons are performed: the area comparison to show the model precision, the comparison with the GSVS17 data to estimate the relative accuracy of the models, and the differential quasigeoid (slope) comparison with GSVS17 to assess the relative accuracy of the height anomalies at different baseline lengths. The results show that the precision of the 1' x 1' models over the complete area is about 2 cm, while the accuracy estimates along the GSVS17 profile range from 1.2 cm to 3.4 cm. Considering that the GSVS17 does not pass the roughest terrain, we estimate that the quasigeoid can be computed with an accuracy of similar to 2 cm in Colorado. The slope comparisons show that RMS values of the differences vary from 2 to 8 cm in all baseline lengths. Although the 2-cm precision and 2-cm relative accuracy have been estimated in such a rugged region, the experiment has not reached the 1-cm accuracy goal. At this point, the different accuracy estimates are not a proof of the superiority of one methodology over another because the model precision and accuracy of the GSVS17-derived height anomalies are at a similar level. It appears that the differences are not primarily caused by differences in theory, but that they originate mostly from numerical computations and/or data processing techniques. Consequently, recommendations to improve the model precision toward the 1-cm accuracy are also given in this paper.

Ämnesord

NATURVETENSKAP  -- Geovetenskap och miljövetenskap -- Geofysik (hsv//swe)
NATURAL SCIENCES  -- Earth and Related Environmental Sciences -- Geophysics (hsv//eng)

Nyckelord

Colorado experiment
1-cm geoid experiment
Geoid computation
Quasigeoid computation
Geoid-quasigeoid separation term
GRAV-D
GSVS17
GPS/leveling

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