Assimilation of InSAR-derived Atmospheric Data in Operational Weather Models

Gert Mulder, Freek van Leijen, Jan Barkmeijer, Siebren de Haan, Ramon Hanssen

Research output: Contribution to conferenceAbstractScientific

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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.
Original languageEnglish
Pages15-15
Number of pages1
Publication statusPublished - 2017
EventFringe 10th International Workshop on : Advances in the Science and Applications of SAR Interferometry ans sentinel-1 InSAR - Aalto University, Helsinki, Finland
Duration: 5 Jul 20179 Jul 2017
http://fringe.esa.int/index.php

Workshop

WorkshopFringe 10th International Workshop on
Abbreviated titleFRINGE 2017
CountryFinland
CityHelsinki
Period5/07/179/07/17
Internet address

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    Mulder, G., van Leijen, F., Barkmeijer, J., de Haan, S., & Hanssen, R. (2017). Assimilation of InSAR-derived Atmospheric Data in Operational Weather Models. 15-15. Abstract from Fringe 10th International Workshop on , Helsinki, Finland.