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Lookup NU author(s): Chen YuORCiD,
Professor Zhenhong Li,
Dr Nigel Penna,
Dr Paola Crippa
This is the final published version of an article that has been published in its final definitive form by Wiley-Blackwell Publishing, Inc., 2018.
For re-use rights please refer to the publisher's terms and conditions.
For mapping Earth surface movements at larger scale and smaller amplitudes, many new Synthetic Aperture Radar (SAR) instruments (Sentinel-1A/B, Gaofen-3, ALOS-2) have been developed and launched from 2014-2017, and this trend is set to continue with Sentinel-1C/D, Gaofen-3B/C, RADARSAT Constellation planned for launch during 2018-2025. This poses more challenges for correcting interferograms for atmospheric effects since the spatial-temporal variations of tropospheric delay may dominate over large scales and completely mask the actual displacements due to tectonic or volcanic deformation. To overcome this, we have developed a generic InSAR atmospheric correction model whose notable features comprise: (i) global coverage, (ii) all-weather, all-time useability, (iii) correction maps available in near real-time, and (iv) indicators to assess the correction performance and feasibility. The model integrates operational high-resolution ECMWF data (0.125-degree grid, 137 vertical levels, 6-hour interval) and continuous GPS tropospheric delay estimates (every 5 minutes) using an iterative tropospheric decomposition model. The model’s performance was tested using eight globally-distributed Sentinel-1 interferograms, encompassing both flat and mountainoustopographies, mid-latitude and near polar regions, monsoon and oceanic climate systems, achieving a phase standard deviation and displacement RMS of ~1 cm against GPS over wide regions (250 by 250 km). Indicators describing the model’s performance including (i) GPS network and ECMWF cross-RMS, (ii) phase versus estimated atmospheric delay correlations, (iii) ECMWF time differences, and (iv) topography variations, were developed to provide quality control for subsequent automatic processing, and provide insights of the confidence level with which the generated atmospheric correction maps may be applied.
Author(s): Yu C, Li Z, Penna NT, Crippa P
Publication type: Article
Publication status: Published
Journal: Journal of Geophysical Research - Solid Earth
Print publication date: 01/10/2018
Online publication date: 12/09/2018
Acceptance date: 07/09/2018
Date deposited: 08/09/2018
ISSN (print): 2169-9313
ISSN (electronic): 2169-9356
Publisher: Wiley-Blackwell Publishing, Inc.
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