Today's article comes from the the European Geosciences Union's journal on Geoscientific Model Development. The authors are González-Cervera et al., from the Universidad Complutense de Madrid, in Spain. In this paper they debut a new python library that can statistically reconstruct climate data when there are gaps in the measurements, or extend the data when it gets cut off too soon.
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