The experimental geoid 2020 – the first joint geoid model for the North American and Pacific Geopotential Datum
- 1NOAA/NGS, Geoscience Research Lab, Ellicott City, United States of America (yan.wang@noaa.gov)
- 2Canadian Geodetic Survey, Surveyor General Branch, Natural Resources Canada, Canada
- 3National Institute of Statistics and Geography of Mexico
For the upcoming North American-Pacific Geopotential Datum of 2022, the National Geodetic Survey (NGS), the Canadian Geodetic Survey (CGS) and the National Institute of Statistics and Geography of Mexico (INEGI) computed the first joint experimental gravimetric geoid model (xGEOID) on 1’x1’ grids that covers a region bordered by latitude 0 to 85 degree, longitude 180 to 350 degree east. xGEOID20 models are computed using terrestrial gravity data, the latest satellite gravity model GOCO06S, altimetric gravity data DTU15, and an additional nine airborne gravity blocks of the GRAV-D project, for a total of 63 blocks. In addition, a digital elevation model in a 3” grid was produced by combining MERIT, TanDEM-X, and USGS-NED and used for the topographic/gravimetric reductions. The geoid models computed from the height anomalies (NGS) and from the Helmert-Stokes scheme (CGS) were combined using two different weighting schemes, then evaluated against the independent GPS/leveling data sets. The models perform in a very similar way, and the geoid comparisons with the most accurate Geoid Slope Validation Surveys (GSVS) from 2011, 2014 and 2017 indicate that the relative geoid accuracy could be around 1-2 cm baseline lengths up to 300 km for these GSVS lines in the United States. The xGEOID20 A/B models were selected from the combined models based on the validation results. The geoid accuracies were also estimated using the forward modeling.
How to cite: Wang, Y. M., Li, X., Ahlgren, K., Krcmaric, J., Hardy, R., Veronneau, M., Huang, J., and Avalos, D.: The experimental geoid 2020 – the first joint geoid model for the North American and Pacific Geopotential Datum , EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-6011, https://doi.org/10.5194/egusphere-egu21-6011, 2021.