Model Library

TETIS

Model name: TETIS

Developed by: Research Group of Hydrological and Environmental Modelling (GIMHA) of the Technical University of Valencia in Spain (Last update: 2024)

Model type: Parsimonious, continuous and event, distributed, conceptual, hydrological watershed model

Computational requirements: Windows/Linux, Intel Visual Fortran (32 and 64-bit TETIS)/ Visual C++ 2013 (64-bit TETIS)

Software requirements: GIS: required

Link to download model

Capabilities and Limitations:

Capabilities

  • The model has been widely used in Spain.
  • It consists of three sub-models: hydrology, sediment transport, and nitrogen transport and transformation (Puertes et al., 2021);
  • It benefits from distributed modeling, offering detailed spatial variability representation, results at any watershed point without interpolation, and efficient use of modern digital cartography, GIS, and remote sensing data;
  • It includes a powerful automatic calibration algorithm for effective parameters and state variables, simplifying practical implementation and ensuring rapid numerical resolution;
  • It describes vegetation dynamics and carbon cycles.

 Limitations

  • In the TETIS model, only the streamflow speed is approximated with a kinematic wave equation (Velásquez et al., 2023);
  • The model cannot represent strong hydrogeological components of the karstic type (Francés et al., 2007);
  • Model performance can be affected by the choice of grid size, requiring a balance between computational efficiency and accuracy (Rogelis et al., 2016);
  • It is mainly used in Spain.

Model Inputs and Outputs: 

Inputs

DEM, LULC, Soil data, Temporal series data, Atmospheric deposition, Streamflow data, Sediment and N-related data (optional), Management data.

Outputs

Time-series of runoff components, water storage levels, sediment transport metrics, evapotranspiration rates, soil moisture content, and hydrographs for hydrological analysis.

Examples:

References

Puertes, C., Bautista, I., Lidón, A., & Francés, F. (2021). Best management practices scenario analysis to reduce agricultural nitrogen loads and sediment yield to the semiarid Mar Menor coastal lagoon (Spain). Agricultural Systems, 188, 103029. https://doi.org/10.1016/j.agsy.2020.103029

Velásquez, N., Hoyos, C. D., Vélez, J. I., & Zapata, E. (2020). Reconstructing the 2015 Salgar flash flood using radar retrievals and a conceptual modeling framework in an ungauged basin. Hydrology and Earth System Sciences, 24(3), 1367-1392. https://doi.org/10.5194/hess-24-1367-2020

Objectives

First, this study aimed to evaluate the impact of these management practices on nitrogen and sedi­ment loads, and their impact on horticultural crop yield. Second, it also intended to serve as a springboard to identify an appropriate management strategy on the watershed scale, which will be applied to another watershed with similar characteristics and similar problems, as very few studies have been conducted in semiarid and coastal environments (Hashemi et al. 2016).

This study addresses two broad hydrological issues. The first issue consists in exploring the relationship between rainfall spatiotemporal structure (Llasat et al., 2016; Fragoso et al., 2012), soil moisture and runoff generation (Penna et al., 2011; Tramblay et al., 2012; Garambois et al., 2013) during the successive rainfall events and the second one in proposing a simplified hydrological modeling scheme, including landslide and hydraulic sub-models, to assess the potential occurrence of flash flood events.