Towards assimilation of InSAR data in operational weather models
G. Mulder (TU Delft - Mathematical Geodesy and Positioning)
FJ Van Leijen (TU Delft - Mathematical Geodesy and Positioning)
Jan Barkmeijer (Royal Netherlands Meteorological Institute (KNMI))
Siebren de Haan (Royal Netherlands Meteorological Institute (KNMI))
Ramon Hanssen (TU Delft - Mathematical Geodesy and Positioning)
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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.
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