Soil water dynamics at a midlatitude test site: Field measurements and box modeling approaches

Baudena, Mara; Provenzale, Antonello; Canone, Davide; Ferraris, Stefano; Previati, Maurizio; Provenzale, A.

doi:10.1016/j.jhydrol.2011.11.009

Cited by 31 publications

(24 citation statements)

References 25 publications

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“…For the investigated sites, the model performance are generally in good agreement with previous applications of SWBMs addressing the simulation of soil moisture time evolution at local scale (e.g. Baudena et al ., ; Chen et al ., ) and better than previous studies carried out in high‐elevation regions (McNamara et al ., ; Gribb et al ., ; Brocca et al ., ), which are affected by additional uncertainties in the analysis of the snowmelt process. The good results obtained here have to be attributed to: (1) the high quality of the hydro‐meteorological data and (2) the good capability of the models to reproduce the different processes (particularly infiltration by the SWBM‐SA model) involved in the soil water balance.…”

Section: Resultsmentioning

confidence: 97%

Improving the representation of soil moisture by using a semi‐analytical infiltration model

Brocca

Melone

Moramarco

et al. 2013

Hydrological Processes

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Soil moisture is widely recognized as a fundamental variable governing the mass and energy fluxes between the land surface and the atmosphere. In this study, the soil moisture modelling at sub‐daily timescale is addressed by using an accurate representation of the infiltration component. For that, the semi‐analytical infiltration model proposed by Corradini et al. (1997) has been incorporated into a soil water balance model to simulate the evolution in time of surface and profile soil moisture. The performances of this new soil moisture model [soil water balance module‐semi‐analytical (SWBM‐SA)] are compared with those of a precedent version [SWBM‐Green–Ampt (GA)] where the GA approach was employed. Their capability to reproduce in situ soil moisture observations at three sites in Italy, Spain and France is analysed. Hourly observations of quality‐checked rainfall, temperature and soil moisture data for a 2‐year period are used for testing the modelling approaches. Specifically, different configurations for the calibration and validation of the models are adopted by varying a single parameter, that is, the saturated hydraulic conductivity. Results indicate that both SWBMs are able to reproduce satisfactorily the hourly soil moisture temporal pattern for the three sites with root mean square errors lower than 0.024 m3/m3 both in the calibration and validation periods. For all sites, the SWBM‐SA model outperforms the SWBM‐GA with an average reduction of the root mean square error of ~20%. Specifically, the higher improvement is observed for the French site for which in situ observations are measured at 30 cm depth, and this is attributed to the capability of the SA infiltration model to simulate the time evolution of the whole soil moisture profile. The reasonable models performance coupled with the need to calibrate only a single parameter makes them useful tools for soil moisture simulation in different regions worldwide, also in scarcely gauged areas. Copyright © 2013 John Wiley & Sons, Ltd.

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Section: Resultsmentioning

confidence: 97%

Improving the representation of soil moisture by using a semi‐analytical infiltration model

Brocca

Melone

Moramarco

et al. 2013

Hydrological Processes

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“…(Figure 1). In this area, rainfall climatology is characterized by two maxima, respectively in spring (April-May) and fall (October-November), and by a relatively dry winter and summer [107,108]. The vegetation growing season lasts, approximately, from late March to mid-October.…”

Section: Plain Permanent Meadowmentioning

confidence: 99%

Local- and Plot-Scale Measurements of Soil Moisture: Time and Spatially Resolved Field Techniques in Plain, Hill and Mountain Sites

Raffelli

Previati

Canone

et al. 2017

Water

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Soil moisture measurement is essential to validate hydrological models and satellite data. In this work we provide an overview of different local and plot scale soil moisture measurement techniques applied in three different conditions in terms of altitude, land use, and soil type, namely a plain, a mountain meadow and a hilly vineyard. The main goal is to provide a synoptic view of techniques supported by practical case studies to show that in such different conditions it is possible to estimate a time and spatially resolved soil moisture by the same combination of instruments: contact-based methods (i.e., Time Domain Reflectometry-TDR, and two low frequency probes) for the time resolved, and hydro-geophysical minimally-invasive methods (i.e., Electromagnetic Induction-EMI, Ground Penetrating Radar-GPR, and the Electrical Resistivity Tomography-ERT) for the spatially resolved. Both long-term soil moisture measurements and spatially resolved measurement campaigns are discussed. Technical and operational measures are detailed to allow critical factors to be identified.

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“…It is obvious that the Laio model achieved the best performance. Baudena et al () obtained similar results when comparing the Laio model with two other models. The Laio model overall NS coefficient (2009 to 2014) is 0.84, compared to 0.64 and 0.55 predicted by the TT model and the SWBM‐GA, respectively.…”

Section: Resultsmentioning

confidence: 63%

Year-round estimation of soil moisture content using temporally variable soil hydraulic parameters

Šípek

Tesař

2017

Hydrol. Process.

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Soil moisture plays a key role in the hydrological cycle as it controls the flux of water between soil, vegetation, and atmosphere. This study is focused on a year‐round estimation of soil moisture in a forested mountain area using the bucket model approach. For this purpose, three different soil moisture models are utilised. The procedure is based on splitting the whole year into two complement periods (dormant and vegetation). Model parameters are allowed to vary between the two periods and also from year to year in the calibration procedure. Consequently, two sets of average model parameters corresponding to dormant and vegetation seasons are proposed. The process of splitting is strongly supported by the experimental data, and it enables us to variate saturated hydraulic conductivity and pore‐size characterisation. The use of the two different parameter sets significantly enhances the simulation of two (Teuling and Troch model and soil water balance model‐green–ampt [SWBM‐GA]) out of three models in the 6‐year period from 2009 to 2014. For these two models, the overall Nash‐Sutcliffe coefficient increased from 0.64 to 0.79 and from 0.55 to 0.80. The third model (the Laio approach) proved to be insensitive to parameter changes due to its insufficient drainage prediction. The variability of the warm and cold parameter sets between particular years is more pronounced in the warm periods. The cold periods exhibited approximately similar character during all 6 years.

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Soil water dynamics at a midlatitude test site: Field measurements and box modeling approaches

Cited by 31 publications

References 25 publications

Improving the representation of soil moisture by using a semi‐analytical infiltration model

Improving the representation of soil moisture by using a semi‐analytical infiltration model

Local- and Plot-Scale Measurements of Soil Moisture: Time and Spatially Resolved Field Techniques in Plain, Hill and Mountain Sites

Year-round estimation of soil moisture content using temporally variable soil hydraulic parameters

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