InSAR signal delays due to the varying atmospheric refractivity are a potential data source to improve weathermodels . 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 , 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.
|Number of pages||1|
|Publication status||Published - 2017|
|Event||EGU General Assembly 2017 - Vienna, Austria|
Duration: 23 Apr 2017 → 28 Apr 2017
|Conference||EGU General Assembly 2017|
|Abbreviated title||EGU 2017|
|Period||23/04/17 → 28/04/17|