Real Time Hydrology

Real time hydrology group

Contents

FeST is a spatially distributed hydrological model, developed at Politecnico di Milano (www.polimi.it) by the Real Time Hydrology Group (www.fest.polimi.it). FeST is the acronym of “flash–Flood Event–based Spatially distributed rainfall–runoff Transformation” that denotes how the first release of the model was initially developed by Mancini (1990), as a model oriented to the simulation of rainfall-runoff transformation of single flood events. Later the FeST model was merged with the soil water balance scheme from TOPLATS model (Famiglietti and Wood, 1994), transforming it into a continuous model (Montaldo et al., 2007). Then the FeST code was redesigned and rewritten from scratch while keeping the basic assumptions of the previous release (Rabuffetti et al., 2008). In 2011 the FeST was upgraded with a routine to solve the system of water mass and energy balance in order to better simulate the actual evapotranspiration and interface the model to remotely sensed data (Corbari et al., 2011; Corbari & Mancini, 2014). At the same year, 2011, a new module for simulating groundwater flux and river-groundwater interaction was developed and implemented in the FeST (Ravazzani et al., 2011). In 2013 a new version of the code was released built on top of the MOSAICO library (Ravazzani, 2013). In 2014 the FeST was upgraded with a module for glaciers modelling (Boscarello et al., 2014). In 2021 a forest growth component was implemented in the FeST (Feki et al., 2021).

Want to know more. You can find FeST documentation at the following links

FeST User’s Manual

Enter the online documentation

or download the pdf version

FeST Reference Manual

Enter the online documentation

or download the pdf version

FeST Code Repository

Enter the code repository

FeST Code Documentation

Enter the online documentation

References

Mancini, M.. (1990). La modellazione distribuita della risposta idrologica: effetti della variabilità spaziale e della scala di rappresentazione del fenomeno dell’assorbimento. PhD thesis. Politecnico di Milano, Istituto di idraulica

Famiglietti, J.S., & Wood, E.F. (1994). Multiscale modeling of spatially variable water and energy balanceprocess. Water Resour. Res., 30, 3061–3078, https://doi.org/10.1029/94WR01498.

Feki, M., Ravazzani, G., Ceppi, A., Pellicone, G., & Caloiero, T.. (2021). Integration of forest growth component in the fest-wb distributed hydrological model: the bonis catchment case study. Forests, 12(12).

Montaldo, N., Ravazzani, G., & Mancini, M.. (2007). On the prediction of the toce alpine basin floods with distributed hydrologic models. Hydrological processes, 21, 608–621

Rabuffetti, D., Ravazzani, G., Corbari, C., & Mancini, M.. (2008). Verification of operational quantitative discharge forecast (QDF) for a regional warning system – the AMPHORE case studies in the upper Po river. Natural hazards and earth system sciences, 8, 161–173.

Corbari, C., Ravazzani, G., & Mancini, M. (2011). A distributed thermodynamic model for energy and mass balance computation: FEST–EWB. Hydrological Processes, 25(9), 1443-1452.

Corbari, C., Ravazzani, G., Perotto, A., Lanzingher, G., Lombardi, G., Quadrio, M., Mancini, M., & Salerno, R.. (2022). Weekly monitoring and forecasting of hydropower production coupling meteo-hydrological modeling with ground and satellite data in the italian alps. Hydrology, 9(2).

Ravazzani, G., Rametta, D., & Mancini, M.. (2011). Macroscopic cellular automata for groundwater modelling: a first approach. Environmental modelling & software, 26(5), 634–643.