Dependence of rainfall-runoff model transferability on climate conditions in Iran

Research output: Contribution to journalArticlepeer-review

Electronic versions

Documents

DOI

  • Afshin Jahanshahi
    Sari Agricultural Sciences and Natural Resources University
  • Zohreh Ghazanchaei
    Zistab Consulting Engineers Co, Tehran
  • Mahdi Navari
    University of Maryland
  • Erfan Goharian
    University of South Carolina
  • Sopan Patil
  • Yongqiang Zhang
    Institute of Geographic Sciences and Natural Resources Research
This study investigates the potential differences between spatial and temporal transferability of the HBV rainfall-runoff model parameters in 576 Iranian catchments. Our goal is to determine how parameter transferability is affected by (a) parameter transfer modes (temporal or spatial) and (b) different climate conditions. In the temporal mode, we decide in each catchment based on a benchmark baseline that accounts for the seasonality of flows. In the spatial mode, we examine physical similarity and spatial proximity methods. The main conclusions are that: (1) the HBV model struggles to beat the benchmark in lowland catchments, (2) under stationary conditions, rainfall-runoff models have greater temporal transferability than spatial transferability, (3) under non-stationary climate conditions, the number of catchments that perform best in terms of temporal transferability is smaller than in stationary climate conditions, and (4) the rainfall-runoff model has better transferability from drier to wetter conditions.

Keywords

  • benchmark baseline, rainfall-runoff model, spatial and temporal transferability
Original languageEnglish
Pages (from-to)564-587
Number of pages24
JournalHydrological Sciences Journal
Volume67
Issue number4
Early online date18 Feb 2022
DOIs
Publication statusPublished - 12 Mar 2022

Total downloads

No data available
View graph of relations