G23A-1052
Surface Gravity Data Contribution to the Puerto Rico and U.S. Virgin Islands Geoid Model

Tuesday, 15 December 2015
Poster Hall (Moscone South)
Xiaopeng Li1, Christian Gerhards2, Simon A Holmes3, Jarir Saleh4 and Brian Shaw1, (1)NOAA, Boulder, CO, United States, (2)University of Vienna, Vienna, Austria, (3)SGT inc., Greenbelt, MD, United States, (4)NOAA ERT/NGS, Silver Spring, MD, United States
Abstract:
The Gravity for the Redefinition of the American Vertical Datum (GRAV-D) project provides updated local gravity field information for the XGEOID15 models. In particular, its airborne gravity data in the area of Puerto Rico and U.S. Virgin Islands (PRVI) made substantial improvements (~60%) on the precision of the geoid models at the local GNSS/Leveling bench marks in the target area. Fortunately, PRVI is free of the huge systematic error in the North American Vertical Datum of 1988 (NAVD88). Thus, the airborne contribution was evaluated more realistically. In addition, the airborne data picked up more detailed gravity field information in the medium wavelength band (spherical harmonic degree 200 to 600) that are largely beyond the resolution of the current satellite missions, especially along the nearby ocean trench areas. Under this circumstance (significant airborne contributions in the medium band), local surface gravity data need to be examined more carefully than before during merging with the satellite and airborne information for local geoid improvement, especially considering the well-known systematic problems in the NGS historical gravity holdings (Saleh et al 2013 JoG). Initial tests showed that it is very important to maintain high consistency between the surface data sets and the airborne enhanced reference model. In addition, a new aggregation method (Gerhards 2014, Inverse Problems) will also be tested to optimally combine the local surface data with the reference model. The data cleaning and combining procedures in the target area will be summarized here as reference for future applications.