Articles | Volume 28, issue 21
https://doi.org/10.5194/hess-28-4819-2024
https://doi.org/10.5194/hess-28-4819-2024
Research article
 | 
06 Nov 2024
Research article |  | 06 Nov 2024

Mapping soil moisture across the UK: assimilating cosmic-ray neutron sensors, remotely sensed indices, rainfall radar and catchment water balance data in a Bayesian hierarchical model

Peter E. Levy and the COSMOS-UK team

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Cited articles

Ahlmer, A.-K., Cavalli, M., Hansson, K., Koutsouris, A. J., Crema, S., and Kalantari, Z.: Soil Moisture Remote-Sensing Applications for Identification of Flood-Prone Areas along Transport Infrastructure, Environ. Earth Sci., 77, 533, https://doi.org/10.1007/s12665-018-7704-z, 2018. a
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Ballabio, C., Panagos, P., and Monatanarella, L.: Mapping Topsoil Physical Properties at European Scale Using the LUCAS Database, Geoderma, 261, 110–123, https://doi.org/10.1016/j.geoderma.2015.07.006, 2016. a, b
Ballabio, C., Lugato, E., Fernández-Ugalde, O., Orgiazzi, A., Jones, A., Borrelli, P., Montanarella, L., and Panagos, P.: Mapping LUCAS Topsoil Chemical Properties at European Scale Using Gaussian Process Regression, Geoderma, 355, 113912, https://doi.org/10.1016/j.geoderma.2019.113912, 2019. a
Bates, D., Mächler, M., Bolker, B., and Walker, S.: Fitting Linear Mixed-Effects Models Using Lme4, J. Stat. Softw., 67, 1–48, https://doi.org/10.18637/jss.v067.i01, 2015. a
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Short summary
Having accurate up-to-date maps of soil moisture is important for many purposes. However, current modelled and remotely sensed maps are rather coarse and not very accurate. Here, we demonstrate a simple but accurate approach that is closely linked to direct measurements of soil moisture at a network sites across the UK, to the water balance (precipitation minus drainage and evaporation) measured at a large number of catchments (1212) and to remotely sensed satellite estimates.