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Global redistribution of atmospheric mass can deform the Earth’s surface by more than 1 cm horizontally and vertically. The effects of atmospheric pressure loading (APL) are present in high precision space geodetic data, such as Global Positioning System, Very Long Baseline Interferometry, and Sa...

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Bibliographic Details
Main Author: SOFIA ERYAN PUTRI (NIM: 25113004); pembimbing: Dr. techn. Dudy D. Wijaya , NABILA
Format: Theses
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/19033
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Institution: Institut Teknologi Bandung
Language: Indonesia
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Summary:Global redistribution of atmospheric mass can deform the Earth’s surface by more than 1 cm horizontally and vertically. The effects of atmospheric pressure loading (APL) are present in high precision space geodetic data, such as Global Positioning System, Very Long Baseline Interferometry, and Satellite Laser Ranging, and thus should be removed from the data to improve the accuracy. The magnitude of deformation in a particular region depends primarily on its geographical latitude and proximity to the ocean. Due to the significant inverted barometer effects, the oceanic response to atmospheric pressure must be treated differently from that of land. To separate the ocean and land component, an accurate land-sea mask model must be provided, which can be derived from topography model. The currently available land-sea mask model has fairly low resolution of 1°×1°, resulting in inaccurate APL corrections. The aim of this research is to develop a more accurate land-sea mask model with higher resolution based on a 1 arc-minute global relief model, ETOPO1. The new land-sea mask model has the spatial resolution of 0.25°×0.25° for coastal areas and 1°×1° for areas that consist of entirely land or sea. This land-sea mask is then utilized to compute the APL corrections at 168 VLBI stations between 2009 and 2011. The new APL corrections are validated using three years of VLBI observations. Only stations and baselines that participated in more than 50 sessions were used in the analysis. The performance of the new model can be assessed by comparing the variance improvement of VLBI baselines after applying the new APL model and the existing one, Vienna-APL. Applying the new APL model improves 50% of the baselines (23 out 44 baselines) by as much as 15%. It also improves 50% of the height component of VLBI stations (7 out of 14 stations).