ESA CCI Soil Moisture GAPFILLED: an independent global gap-free satellite climate data record with uncertainty estimates

Preimesberger, Wolfgang; Stradiotti, Pietro; Dorigo, Wouter

doi:https://doi.org/10.5194/essd-17-4305-2025

Articles | Volume 17, issue 9

https://doi.org/10.5194/essd-17-4305-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-17-4305-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 17, issue 9

Data description paper

|

05 Sep 2025

Data description paper |

| 05 Sep 2025

ESA CCI Soil Moisture GAPFILLED: an independent global gap-free satellite climate data record with uncertainty estimates

Wolfgang Preimesberger, Pietro Stradiotti, and Wouter Dorigo

Data sets

ESA CCI SM GAPFILLED Long-term Climate Data Record of Surface Soil Moisture from merged multi-satellite observations Wolfgang Preimesberger et al. https://doi.org/10.48436/hcm6n-t4m35

Model code and software

TUW-GEO/pytesmo: v0.18.0 Christoph Paulik et al. https://doi.org/10.5281/zenodo.14975386

Short summary

We introduce the official ESA CCI Soil Moisture GAPFILLED climate data record. A univariate interpolation algorithm is applied to predict missing data points without relying on ancillary variables. The dataset includes gap-free uncertainty estimates for all predictions and was validated with independent in situ reference measurements. Our data record is recommended for applications which require global long-term gap-free satellite soil moisture data.