Articles | Volume 17, issue 9
https://doi.org/10.5194/essd-17-4305-2025
https://doi.org/10.5194/essd-17-4305-2025
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

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Cited articles

Al-Yaari, A., Dayau, S., Chipeaux, C., Aluome, C., Kruszewski, A., Loustau, D., and Wigneron, J.-P.: The AQUI Soil Moisture Network for Satellite Microwave Remote Sensing Validation in South-Western France, Remote Sens., 10, 1839, https://doi.org/10.3390/rs10111839, 2018. a
Albergel, C., Rüdiger, C., Pellarin, T., Calvet, J.-C., Fritz, N., Froissard, F., Suquia, D., Petitpa, A., Piguet, B., and Martin, E.: From near-surface to root-zone soil moisture using an exponential filter: an assessment of the method based on in-situ observations and model simulations, Hydrol. Earth Syst. Sci., 12, 1323–1337, https://doi.org/10.5194/hess-12-1323-2008, 2008. a, b
Alday, J. G., Camarero, J. J., Revilla, J., and Resco de Dios, V.: Similar diurnal, seasonal and annual rhythms in radial root expansion across two coexisting Mediterranean oak species, Tree Physiol., 40, 956–968, https://doi.org/10.1093/treephys/tpaa041, 2020. a
Almendra-Martín, L., Martínez-Fernández, J., Piles, M., and Ángel González-Zamora: Comparison of gap-filling techniques applied to the CCI soil moisture database in Southern Europe, Remote Sens. Environ., 258, 112377, https://doi.org/10.1016/j.rse.2021.112377, 2021. a
Amankwah, S. K., Ireson, A. M., Maulé, C., Brannen, R., and Mathias, S. A.: A Model for the Soil Freezing Characteristic Curve That Represents the Dominant Role of Salt Exclusion, Water Resour. Res., 57, e2021WR030070, https://doi.org/10.1029/2021WR030070, 2021. a, b
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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.
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