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Services - Geoid Repository


Regional Models

Colorado - USA (ColLSMSA2020)


  Authors: M.S. Işık, et al.   Created: 2020    Resp: M.S. Işık  
                       Status: PUBLIC   Licence: CC BY 4.0

Description:
The ColLSMSA2020 geoid and quasi-geoid models are gravimetric models and have been computed by the Gravity Research Group in Department of Geomatics Engineering, Istanbul Technical University (ITU-GRG). The models have been computed in the frame of the International Association of Geodesy Joint Working Group 2.2.2 "The 1 cm geoid experiment". The area covered by the models is 109°W ≤ longitude ≤ 103°W, 36°N ≤ latitude ≤ 39°N with a grid spacing of 2' in both latitude and in longitude. The computation is based on the Least Squares Modification of Stokes Integral with Additive Corrections (LSMSA). In the computation, the XGM2016 global geopotential model up to degree/order 719 is used. Integration radius for Stokes integral is chosen as 0.5°. The error degree variance of gravity anomalies is constructed using a bandlimited white noise model where standard deviation is taken as 3 mGal. The input gravity data include terrestrial and airborne data combined using 3D Least-Squares Collocation (LSC). The accuracy of the geoid and quasi-geoid models over GSVS17 GPS/leveling are 2.9 cm and 2.7 cm, respectively.

Model Citations:
M.S. Işık, B. Erol, S. Erol, F.F. Sakil (2020). The ITU quasi-geoid based on Least Squares modification of Stokes integral with additive corrections for the Colorado Experiment: ColLSMSA2020. V. 1.0. GFZ Data Services. DOI: 10.5880/isg.2020.005

M.S. Işık, B. Erol, S. Erol, F.F. Sakil (2020). The ITU geoid based on Least Squares modification of Stokes integral with additive corrections for the Colorado Experiment: ColLSMSA2020. V. 1.0. GFZ Data Services. DOI: 10.5880/isg.2020.006

Reference:
M.S. Işık, B. Erol, S. Erol, F.F. Sakil (2021). High-resolution geoid modeling using Least Squares modification of Stokes and Hotine formulas in Colorado. Journal of Geodesy, 95, 49. DOI: 10.1007/s00190-021-01501-z

Web of Science ID:
DRCI:DATA2023050026130135


Digital object identifier:
DOI: 10.5880/isg.2020.005 (quasi-geoid in ISG format)
DOI: 10.5880/isg.2020.006 (geoid in ISG format)

COLORADO