ISG

   International Service for the Geoid

   

Search in ISG Website



Links:










      

      

Services - Geoid Repository


Regional Models

Colorado - USA (ColWLSC2020)


  Authors: R. Barzaghi, D. Carrion, Ö. Koç    Created: 2020    Resp: R. Barzaghi  
                       Status: PUBLIC   Licence: CC BY 4.0

Description:
The ColWLSC2020 quasi-geoid and geoid models are gravimetric models and have been computed by the Department of Civil and Environmental Engineering, Politecnico di Milano. 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" and the so called "Colorado experiment". The area covered by the models is 251.5°E ≤ longitude ≤ 256.5°E, 36.5°N ≤ latitude ≤ 38°N with a grid spacing of 2' in both latitude and in longitude. The computation is based on the remove-compute-restore technique with XGM2106 being used as a reference field. The topographic effects were treated using a Residual Terrain Correction (RTC) by solving the spectral filter problem of RTC using Earth2014 and ERTM2160 models. The input gravity data include terrestrial and airborne data combined using Least-Squares Collocation (LSC). The final estimation was carried out using Windowed LSC (WLSC). The mean accuracy of the geoid models, when compared against GSVS17 GPS/leveling, is at the 2.4-2.8 cm level.

Model Citations:
R. Barzaghi, D. Carrion, Ö. Koç (2020): The PoliMI quasi-geoid based on windowed Least-Squares Collocation for the Colorado Experiment: ColWLSC2020. V. 1.0. GFZ Data Services. DOI: 10.5880/isg.2020.001

R. Barzaghi, D. Carrion, Ö. Koç (2020): The PoliMI geoid based on windowed Least-Squares Collocation for the Colorado Experiment: ColWLSC2020. V. 1.0. GFZ Data Services. DOI: 10.5880/isg.2020.002

Reference:
V.N. Grigoriadis, G.S. Vergos, R. Barzaghi, D. Carrion, Ö. Koç (2021). Collocation and FFT-based geoid estimation within the Colorado 1 cm geoid experiment. Journal of Geodesy, 95, 52. DOI: 10.1007/s00190-021-01507-7

Web of Science ID:
DRCI:DATA2020022018150699


Digital object identifier:
DOI: 10.5880/isg.2020.001 (quasi-geoid in ISG format)
DOI: 10.5880/isg.2020.002 (geoid in ISG format)

COLORADO