Articles | Volume 15, issue 11
https://doi.org/10.5194/gmd-15-4569-2022
https://doi.org/10.5194/gmd-15-4569-2022
Model description paper
 | 
14 Jun 2022
Model description paper |  | 14 Jun 2022

CLIMFILL v0.9: a framework for intelligently gap filling Earth observations

Verena Bessenbacher, Sonia Isabelle Seneviratne, and Lukas Gudmundsson

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Cited articles

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Short summary
Earth observations have many missing values. They are often filled using information from spatial and temporal contexts that mostly ignore information from related observed variables. We propose the gap-filling method CLIMFILL that additionally uses information from related variables. We test CLIMFILL using gap-free reanalysis data of variables related to soil–moisture climate interactions. CLIMFILL creates estimates for the missing values that recover the original dependence structure.
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