Skip to main navigation Skip to search Skip to main content

Assessing the Performance of Several Rainfall Interpolation Methods as Evaluated by a Conceptual Hydrological Model

Research output: Contribution to journalConference articlepeer-review

14 Scopus citations

Abstract

The objective of this study was to assess the performance of several rainfall interpolation methods as evaluated by a conceptual hydrological model. To this purpose, the upper Toro River catchment (43.15 km2) located in Costa Rica was selected as case study. Deterministic and geostatistical interpolation methods were selected to generate time-series of daily and hourly average rainfall over a period of 10 years (2001-2010). These time-series were used as inputs for the HBV-TEC hydrological model and were individually calibrated against observed streamflow data. Based on model results, the performance of the deterministic methods can be said to be comparable to that of the geostatistical methods at daily time-steps. However, at hourly time-steps, deterministic methods considerably outperformed geostatistical methods.

Original languageEnglish
Pages (from-to)1050-1057
Number of pages8
JournalProcedia Engineering
Volume154
DOIs
StatePublished - 2016
Event12th International Conference on Hydroinformatics - Smart Water for the Future, HIC 2016 - Incheon, Korea, Republic of
Duration: 21 Aug 201626 Aug 2016

Keywords

  • HBV-TEC
  • Kriging
  • PEST
  • R
  • hydrological model
  • rainfall interpolation

Fingerprint

Dive into the research topics of 'Assessing the Performance of Several Rainfall Interpolation Methods as Evaluated by a Conceptual Hydrological Model'. Together they form a unique fingerprint.

Cite this