ROSETTA: a computer program for estimating soil hydraulic parameters with hierarchical pedotransfer functions

By M. G. Schaap, F. Leij, M. T. V. Genuchten. 2001

2,555 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Environmental Engineering

View Paper: https://www.semanticscholar.org/paper/a0b83d3751eafa38ce5032a74186c119940663c3

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Citations in the corpus

Multimodel Simulation of Water Flow in a Field Soil Using Pedotransfer Functions (2009, methodology): “Th e literature contains only three Ksat PTFs that were developed or tested using large databases (Rawls et al., 1998; Wösten et al., 1999; Schaap et al., 2001).”
Prediction of Water Retention of Soils from the Humid Tropics by the Nonparametric k‐Nearest Neighbor Approach (2013, methodology): “From Table 3 and from previous observations made by several researchers such as Schaap et al. (2001), Vereecken et al. (2010), and Haghverdi et al. (2012), there seems to be an ef ect of the combinations of dif erent input variables on the quality of the prediction of water contents at various…”
Use of the Nonparametric Nearest Neighbor Approach to Estimate Soil Hydraulic Properties (2006, background): “…retention estimations has been pointed out by different authors (e.g., Rawls et al., 1991; Schaap and Leij, 1998; Minasny et al., 1999; Nemes et al., 2003), and the effect of using different inputs in PTFs on estimations has been shown by for example, Schaap et al. (2001) and Nemes et al. (2003).”
Estimation of the van Genuchten soil water retention properties from soil textural data. (2010, background): “…Sx is a match-point effective wetting phase saturation and is given by the empirical equation: Sx = 0.72 − 0.35 exp(−n4) (12) Based on an analysis of 24 compacted clay samples, Tinjum et al. (1997) presented another empirical relationship between hmin (kPa) and α (kPa−1): α = 0.078(hmin)−1.26 (13)”
Markov chain Monte Carlo simulation using the DREAM software package: Theory, concepts, and MATLAB implementation (2016, methodology): “An explicit prior distribution is used for the soil hydraulic parameters to make sure that their posterior estimates remain in close vicinity of their942 respective values derived from surrogate soil data using the Rosetta toolbox of hierarchical pedo-transfer functions (Schaap et al., 1998, 2001).”
Numerical evaluation of a set of analytical infiltration equations (2009, methodology): “Soil hydraulic parameters for four studied soil types, i.e., sand, loam, silt, and silty clay, were obtained from the ROSETTA database [Schaap et al., 2001] implemented into HYDRUS codes [Šimůnek and van Genuchten, 2008; Šimůnek et al., 2008].”
Enhanced pedotransfer functions with support vector machines to predict water retention of calcareous soil (2016, methodology): “…obtained by Twarakavi et al. (2009) for the SVM (RMSE= 0.053 m3 m−3) and ANN (RMSE= 0.068 m3 m−3) when predicting soil water content with the Rosetta database from Schaap & Leij (1998) and © 2016 British Society of Soil Science, European Journal of Soil Science, 67, 276–284 Schaap et al. (2001).”
Measurement depth of the cosmic ray soil moisture probe affected by hydrogen from various sources (2012, methodology): “We selected four different soil texture categories to investigate, sand, sandy loam, silt and silty clay loam using the standard ROSETTA parameters [Schaap et al., 2001] for the van Genuchten Mualem hydraulic model with no hysteresis [Simunek et al., 2008].”
Macropores and water flow in soils revisited (2013, background): “…on small soil samples) presumes that the Darcy-Richards equation holds at larger scales of application, and that the parameter values are constant in time and space for a given soil horizon [see, for example, Wösten, 1999; Acutis and Donatelli, 2003; Schaap et al. 2001; McBratney et al., 2002].”
HYDRUS: Model Use, Calibration, and Validation (2012, methodology): “The programs further include a small catalog of unsaturated soil hydraulic properties (Carsel and Parrish, 1988), as well as pedotransfer functions based on neural network analyses (Schaap et al., 2001).”
The evolution of process-based hydrologic models: Historical challenges and the collective quest for physical realism. (2017, neutral): “Much research has focused on pedotransfer functions to relate soil properties to soil parameters [e.g., Schaap et al. 2001], and there has been limited work to relate geophysical attributes to other model parameters such as those controlling the impact of soil moisture on saturated areas [Balsamo…”
Predicting the soil moisture retention curve, from soil particle size distribution and bulk density data using a packing density scaling factor (2014, methodology): “We also evaluate the overall model performance with the results from the full empirically SMC prediction software ROSETTA (Schaap et al., 2001).”