SoilW (Soil Water model library) is a software component implementing different approaches for soil water simulation. Main processes simulated are:
- water redistribution along (cascading (tipping-bucket), cascading with travel time, finite difference solution of the Richards equation),
- water uptake (Ceres, EPIC and CropSyst-Campbell approaches),
- water retention (van Genuchten, Campbell methods),
- evaporation (Ritchie, CropSyst approaches),
- water table contribution (Liu method),
- tillage effect on soil physical properties (from Macro, Wepp and Epic models).
Models are available as pre-defined composite objects (e.g., soil water model according to the Epic model); however, users have the possibility to build their own soil water models by composing approaches for the different processes according, e.g., to data availability.

SoilW does not implement approaches for canopy interception, infiltration and runoff, that are available in a dedicated component (SoilRE).

The component is distributed free of charge for non-commercial purposes with a dedicated software development kit (SDK), and can be used by modellers and developers in their own applications. SDK includes documentation of code and algorithms, as well as sample projects showing how to use the component and how to link it with others for, e.g., soil water balance, diseases, abiotic damages.

Product Manager: Marco Foi
Online Code doc:
Online Help:
Application file: request a download link providing your email below.

2019 - Crop Science, in press.
Analysis and modelling of processes involved with salt tolerance and rice.
Tartarini, S., Paleari, L., Movedi, E., Sacchi, G.A., Nocito, F.F., Confalonieri, R.

2019 - Agricultural Systems, 168, 181-190
A high-resolution, integrated system for rice yield forecasting at district level.
Pagani, V., Guarneri, T., Busetto, L., Ranghetti, L., Boschetti, M., Movedi, E., Campos-Taberner, M., Garcia-Haro, F.J., Katsantonis, D., Stavrakoudis, D., Ricciardelli, E., Romano, F., Holecz, F., Collivignarelli, F., Granell, C., Casteleyn, S., Confalonieri, R.

2019 - Ecological Modelling, 401, 111-128
Development of generic crop models for simulation of multi-species plant communities in mown grasslands.
Movedi, E., Bellocchi, G., Argenti, G., Paleari, L., Vesely, F.M., Staglianò, N., Dibari, C., Confalonieri, R.

2018 - Ecological Modelling, 368, 1-14.
Sensitivity of WOFOST-based modelling solutions to crop parameters under climate change.
Gilardelli, C., Confalonieri, R., Cappelli, G., Bellocchi, G.

2017 - Scientific Reports, 7:4352
Trait-based model development to support breeding programs. A case study for salt tolerance and rice.
Paleari, L., Movedi, E., Confalonieri, R.

2017 - European Journal of Agronomy, 89, 97-106
Improving cereal yield forecast in Europe - the impact of weather extremes.
Pagani, V., Guarneri, T., Fumagalli, D., Movedi, E., Testi, L., Klein, T., Calanca, P., Villalobos, F., Lopez-Bernal, A., Niemeyer, S., Bellocchi, G., Confalonieri, R.

2017 - Scientific Reports, 7:14858
Causes of variation among rice models in yield response to CO2 examined with Free-Air CO2 Enrichment and growth chamber experiments.
Hasegawa, T., Li, T., Yin, X., Zhu, Y., Boote, K., Baker, J. ... Confalonieri, R. ... Wallach, D., Wang, Y., Wilson, L.T., Yang, L., Yang, Y., Yoshida, H., Zhang, Z., Zhu, J.

2017 - Agricultural Systems, 154, 45-52
Forecasting sugarcane yields using agro-climatic indicators and Canegro model: a case study in the main production region in Brazil.
Pagani, V., Stella, T., Guarneri, T., Finotto, G., van den Berg, M., Marin, F.R., Acutis, M., Confalonieri, R.

2017 - Global Change Biology, 23, 4651-4662.
Surfing parameter hyperspaces under climate change scenarios to design future rice ideotypes.
Paleari, L., Movedi, E., Cappelli, G., Wilson, L.T., Confalonieri, R.

2017 - IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10, 5423-5441.
Downstream services for rice crop monitoring in Europe: from regional to local scale.
Busetto, L., Casteleyn, S., Granell, C., Pepe, M., Crema, A., Barbieri, M., Campos-Taberner, M., Casa, R., Collivignarelli, F., Confalonieri, R., García-Haro, J. ... Movedi, E., Nutini, F. ... Boschetti, M.

2016 - Field Crops Research, 197, 125-132
WOFOST-GTC: a new model for the simulation of winter rapeseed production and oil quality.
Gilardelli, C., Stella, T., Frasso, N., Cappelli, G., Bregaglio, S., Chiodini, M.E., Scaglia, B., Confalonieri, R.

2016 - Computers and Electronics in Agriculture, 128, 46-49
ISIde: a rice modelling platform for in silico ideotyping.
Paleari, L., Bregaglio, S., Cappelli, G., Movedi, E., Confalonieri, R.

2016 - Environmental Modelling & Software, 85, 332-341
A taxonomy-based approach to shed light on the babel of mathematical models for rice simulations.
Confalonieri, R., Bregaglio, S., Adam, M., Ruget, F., Li, T., Hasegawa, T., Yin, X., Zhu, Y., Boote, K., Buis, S., Fumoto, T., Gaydon, D., Lafarge, T., Marcaida, M., Nakagawa, H., Ruane, A.C., Singh, B., Singh, U., Tang, L., Tao, F., Fugice, J., Yoshida, H., Zhang, Z., Wilson, L.T., Baker, J., Yang, Y., Masutomi, Y., Wallach, D., Acutis, M., Bouman, B.

2015 - Agronomy for Sustainable Development, 35, 157-167
New multi-model approach gives good estimations of wheat yield under semi-arid climate in Morocco.
Bregaglio, S., Frasso, N., Pagani, V., Stella, T., Francone, C., Cappelli, G., Acutis, M., Balaghi, R., Ouabbou, H., Paleari, L., Confalonieri, R.

2015 - Biomass & Bioenergy, 80, 85-93
Are advantages from partial replacement of corn with second generation energy crops undermined by climate change? A case study for giant reed in Northern Italy
Cappelli, G., Yamaç, S.S., Stella, T., Francone, C., Paleari, L., Negri, M., Confalonieri, R.

2014 - Environmental Modelling & Software, 62, 478-486
A generic framework for evaluating hybrid models by reuse and composition - a case study on soil temperature simulation.
Donatelli, M., Bregaglio, S., Confalonieri, R., De Mascellis, R., Acutis, M.

European Commission Joint Research Centre AGRI4CAST
CNR - Consiglio Nazionale delle Ricerche
Ferrero S.p.A.
INRA Morocco
Conserve Italia
INRA - Institut national de la recherche agronomique
Washington State University
AXA Corporate Solutions
University of Florida