2021
DOI: 10.1016/j.jhydrol.2020.125770
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Introducing a Kriging-based Gaussian Process approach in pedotransfer functions: Evaluation for the prediction of soil water retention with temperate and tropical datasets

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Cited by 10 publications
(2 citation statements)
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“…This is a general observation (see Tables 3 and 4). A similar result was obtained in 4 countries in southern Africa by Muselli et al [36]. In addition, the timescale for mean and maximum time period between events is much larger for rain than for dew, a difference which can reach two orders of magnitudes.…”
Section: Dew and Rain Events Periodssupporting
confidence: 87%
See 1 more Smart Citation
“…This is a general observation (see Tables 3 and 4). A similar result was obtained in 4 countries in southern Africa by Muselli et al [36]. In addition, the timescale for mean and maximum time period between events is much larger for rain than for dew, a difference which can reach two orders of magnitudes.…”
Section: Dew and Rain Events Periodssupporting
confidence: 87%
“…Pue et al [35] introduced a Krigingbased Gaussian process for the prediction of soil water retention in tropical and temperate climates. Muselli and Beysens [36] used Kriging to study the biocrust sustainability with dew and rain availability in southern Africa. Other studies combine Kriging models for the estimation of rainfall with Lagrangian approaches [37] or Bayesian [38].…”
Section: Kriging Mapsmentioning
confidence: 99%