SoilT


SoilT
SoilT (Soil Temperature model library) is a software component implementing models for the simulation of surface soil temperature and for heat propagation along the soil profile (in turns providing soil profile temperature).

For surface soil temperature, the following approaches are available:
- Parton (1984),
- Neitsch et al. (2011) (SWAT approach).
For soil profile temperature, the available approaches are:
- Campbell (1985),
- Neitsch et al. (2011) (SWAT approach).
Models can be used and composed (e.g., Donatelli et al., 2014) to provide hybrid modelling solutions.

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., crop growth and development, soil water balance.

References:

Campbell, G.S., 1985. Soil Physics with Basic. Elsevier, Amsterdam.

Donatelli, M., Bregaglio, S., Confalonieri, R., De Mascellis, R., Acutis, M., 2014. A generic framework for evaluating hybrid models by reuse and composition - a case study on soil temperature simulation. Environ. Model. Softw., in press.

Neitsch, S.L., Arnold, J.G., Kiniry, J.R., Williams, J.R., 2011. Soil and Water Assessment Tool. Theoretical Documentation. Version 2009. Texas Water Resources Institute Technical Report No. 406. Texas A&M University System, College Station, Texas, 77843-2118.

Parton, W.J., 1984. Predicting soil temperatures in a shortgrass steppe. Soil Sci. 138, 93-101.


Product Manager: Marco Foi
Online Code doc: http://download.cassandralab.com/soilt/soilt_codedoc/SoilT_codedoc.html
Online Help: http://download.cassandralab.com/soilt/soilt_help/Abstract.html
Application file: request a download link providing your email below.


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.

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
http://mars.jrc.ec.europa.eu/mars/About-us/AGRI4CAST
 
Ferrero S.p.A.
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CREA
www.crea.gov.it
 
International Rice Research Institute
http://irri.org/
 
Leibniz Centre for Agricultural Landscape Research - ZALF
www.zalf.de