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Data gaps are ubiquitous in spectral irradiance data, and yet, little efforthas been put into finding robust methods for filling them. We introduce adata-adaptive and nonparametric method that allows us to fill data gaps inmulti-wavelength or in multichannel records. This method, which is based on theiterative singular value decomposition, uses the coherency between simultaneousmeasurements at different wavelengths (or between different proxies) to fillthe missing data in a self-consistent way. The interpolation is improved byhandling different time scales separately.  Two major assets of this method are its simplicity, with few tuneableparameters, and its robustness. Two examples of missing data are given: onefrom solar EUV observations, and one from solar proxy data. The method is alsoappropriate for building a composite out of partly overlapping records.

A method for filling gaps in solar irradiance and in solar proxy data