Impact of precipitation on parameter sensitivity and identifiability in the variable infiltration capacity (VIC) model

  • Mahsa Noorbeh
  • , Shervan Gharari
  • , Hossein Salehi
  • , Ali Behrangi
  • , Ali Reza Massah Bavani

Research output: Contribution to journalArticlepeer-review

Abstract

This study aims to explore the interaction between selected gridded precipitation products and parameters of the variable infiltration capacity (VIC) model within the Gharesu basin in Iran. The evaluation is done in two phases: (1) exploration of the performance of various precipitation products (i.e. three satellite gauges, two reanalyses, and three gauge-based datasets), and comparison to station measurements; and (2) the interaction of behavioural VIC parameter sets with these precipitation products. Evaluation of best-performing and non-dominant solutions indicates that for most VIC parameters, no unique value and range can be specified for the precipitation products. This reflects the important fact that precipitation, which is known to carry significant information, is decisive in inferred values of parameters that are perceived to have physical meaning (e.g. soil characteristics). In summary, our research contributes to a deeper understanding of the complex relationship between precipitation products and parameters of hydrological models.

Original languageEnglish (US)
Pages (from-to)3033-3047
Number of pages15
JournalHydrological Sciences Journal
Volume70
Issue number16
DOIs
StatePublished - 2025
Externally publishedYes

Keywords

  • Gharesu basin
  • Hydrological modelling
  • global precipitation dataset
  • runoff simulation
  • sensitivity analysis

ASJC Scopus subject areas

  • Water Science and Technology

Fingerprint

Dive into the research topics of 'Impact of precipitation on parameter sensitivity and identifiability in the variable infiltration capacity (VIC) model'. Together they form a unique fingerprint.

Cite this