Improving estimation of missing values in daily precipitation series by a probability density function‐preserving approach

By C. Simolo, Michele Brunetti, Maurizio Maugeri, T. Nanni. 2010

106 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/5cbe7e16f22be35d55faccf44d0c96988600a74b

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1. Jinfeng Wang
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Citations in the corpus

• Interpolation of Missing Temperature Data at Meteorological Stations Using P-BSHADE (2013, methodology): “To overcome these problems, a number of interpolation techniques have been developed, aimed at estimating missing observations in climatic time series (Kaplan et al. 2000; Li et al. 2003; Lin et al. 2002; Reynolds and Smith 1994; Simolo et al. 2010; Snell et al. 2000).”