Towards assimilation of InSAR data in operational weather models

Abstract (2017)

Authors

G. Mulder Mathematical Geodesy and Positioning - CEG
F.J. van Leijen Mathematical Geodesy and Positioning - CEG
Jan Barkmeijer Royal Netherlands Meteorological Institute (KNMI)
Siebren de Haan Royal Netherlands Meteorological Institute (KNMI)
R.F. Hanssen Mathematical Geodesy and Positioning - CEG
Research Group
Mathematical Geodesy and Positioning (CEG) (TU Delft)
Copyright: © 2017 G. Mulder, F.J. van Leijen, Jan Barkmeijer, Siebren de Haan, R.F. Hanssen
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Published Date

2017

Language

English

Faculty

Civil Engineering & Geosciences

Department

Geoscience and Remote Sensing

Research Group

Mathematical Geodesy and Positioning

Abstract

InSAR signal delays due to the varying atmospheric refractivity are a potential data source to improve weathermodels [1]. Especially with the launch of the new Sentinel-1 satellites, which increases data coverage, latency andaccessibility, it may become possible to operationalize the assimilation of differential integrated refractivity (DIR)values in numerical weather models. Although studies exist on comparison between InSAR data and weathermodels [2], the impact of assimilation of DIR values in an operational weather model has never been assessed. Inthis study we present different ways to assimilate DIR values in an operational weather model and show the firstforecast results.