Process-based modelling
van Lanen, Henny A.J.; van Loon, Anne F.; Wanders, Niko; Prudhomme, Christel 
ORCID: https://orcid.org/0000-0003-1722-2497.
2024
Process-based modelling.
In: Tallaksen, Lena M.; van Lanen, Henny A.J., (eds.)
Hydrological drought: processes and estimation methods for streamflow and groundwater. 2nd ed.
Elsevier, 427-476.
Abstract/Summary
The chapter describes two categories of process-based models, namely, hydrological and socio-hydrological models. It starts with an explanation of the modelling chain from climate drivers via process-based models to identification of hydrological and socio-hydrological drought characteristics. Then, the first category of process-based models is introduced, that is, hydrological models, which are divided in three types: spatially lumped, semi-distributed and spatially distributed models. Spatially distributed models are further subdivided based on whether they simulate lateral groundwater flow (GWfl) or not (nGWfl). An example model of each of these three types, including an application is given, that is, HBV (spatially lumped, semi-distributed), PCR-GLOBWB (spatially distributed model, nGWfl) and SIMGRO (spatially distributed model, GWfl). The second category of process-based models, that is, the socio-hydrological models, is also divided into three types: coupled-component, system-dynamics and agent-based models. The chapter addresses calibration and validation of process-based models and concludes with some guidance on how to select an adequate model, considering also the associated uncertainty.
| Item Type: | Publication - Book Section |
|---|---|
| Digital Object Identifier (DOI): | 10.1016/B978-0-12-819082-1.00019-9 |
| UKCEH and CEH Sections/Science Areas: | UKCEH Fellows |
| ISBN: | 9780128190821 |
| NORA Subject Terms: | Hydrology Data and Information |
| Related URLs: | |
| Date made live: | 21 Jan 2025 13:56 +0 (UTC) |
| URI: | https://nora.nerc.ac.uk/id/eprint/538783 |
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