Estimating Single-Epoch Integrated Atmospheric Refractivity from InSAR for Assimilation in Numerical Weather Models

Title

Estimating Single-Epoch Integrated Atmospheric Refractivity from InSAR for Assimilation in Numerical Weather Models

 Author

Mulder, G. (TU Delft Mathematical Geodesy and Positioning; Royal Netherlands Meteorological Institute (KNMI))
van Leijen, F.J. (TU Delft Mathematical Geodesy and Positioning) ORCID 0000-0002-2582-9267
Barkmeijer, Jan (Royal Netherlands Meteorological Institute (KNMI))
De Haan, Siebren (Royal Netherlands Meteorological Institute (KNMI))
Hanssen, R.F. (TU Delft Mathematical Geodesy and Positioning) ORCID 0000-0002-6067-7561

 Date

2022

 Abstract

Numerical weather prediction (NWP) models are used to predict the weather based on current observations in combination with physical and mathematical models. Yet, they are limited by the spatial density and the accuracy of the available observations. Satellite radar interferometry (InSAR) is known to be extremely sensitive to the 3D atmospheric refractivity distribution, and has a high spatial resolution, providing information that can be used for assimilation in NWP models. However, due to the inherent superposition of two or more atmospheric states, only biased and temporally differenced signals can be retrieved, that can also be contaminated by deformation signals and decorrelation. Here we present a method to estimate single-epoch absolute atmospheric delays by combining InSAR time series with prior NWP model prediction time series, using a constrained least-squares estimation. We show that this leads to a solution that reliably extracts the single-epoch relative delays from InSAR data and uses prior NWP model data to find the absolute reference for these delays, while mitigating long-term deformation and decorrelation signal. This approach leads to repetitive delay updates with a spatial resolution of 500 m, that can be directly assimilated into numerical weather models.


 Subject

atmospheric delay
Atmospheric modeling
Data models
Delays
Meteorology
nSAR
Numerical models
NWP model
Predictive models
single epoch
Strain

 To reference this document use:

http://resolver.tudelft.nl/uuid:169e191d-983e-4f8c-8ab7-955c9670cc40

 DOI

https://doi.org/10.1109/TGRS.2022.3177041

 ISSN

0196-2892

 Source

IEEE Transactions on Geoscience and Remote Sensing, 60

 Part of collection

Institutional Repository

 Document type

journal article

 Rights

© 2022 G. Mulder, F.J. van Leijen, Jan Barkmeijer, Siebren De Haan, R.F. Hanssen
Files
PDF Estimating_Single_Epoch_I ... Models.pdf 7.33 MB
Close viewer