Assimilation of InSAR-derived Atmospheric Data in Operational Weather Models

Abstract (2017)

Authors

G. Mulder Mathematical Geodesy and Positioning -

F.J. van Leijen Mathematical Geodesy and Positioning -

Jan Barkmeijer Royal Netherlands Meteorological Institute (KNMI)

Siebren De Haan Royal Netherlands Meteorological Institute (KNMI)

R.F. Hanssen Mathematical Geodesy and Positioning -

Research Group

Mathematical Geodesy and Positioning () (TU Delft)

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Published Date

2017

Language

English

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Faculty

Civil Engineering & Geosciences

Department

Geoscience and Remote Sensing

Research Group

Mathematical Geodesy and Positioning

Abstract

The influence of signal delay due to the varying atmospheric refractivity can be significant in individual interferograms. This signal is generally considered to be noise in deformation studies, but it can also potentially be used to improve weather models [1]. This application has an enormous potential, because, contrary to deformation studies, every acquired SAR image contains valuable information on the state of the atmosphere.

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