TY - JOUR
T1 - Assessing the Performance of Several Rainfall Interpolation Methods as Evaluated by a Conceptual Hydrological Model
AU - Mendez, M.
AU - Calvo-Valverde, L.
N1 - Publisher Copyright:
© 2016 The Authors.
PY - 2016
Y1 - 2016
N2 - 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.
AB - 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.
KW - HBV-TEC
KW - Kriging
KW - PEST
KW - R
KW - hydrological model
KW - rainfall interpolation
UR - http://www.scopus.com/inward/record.url?scp=84997795554&partnerID=8YFLogxK
U2 - 10.1016/j.proeng.2016.07.595
DO - 10.1016/j.proeng.2016.07.595
M3 - Artículo de la conferencia
AN - SCOPUS:84997795554
SN - 1877-7058
VL - 154
SP - 1050
EP - 1057
JO - Procedia Engineering
JF - Procedia Engineering
T2 - 12th International Conference on Hydroinformatics - Smart Water for the Future, HIC 2016
Y2 - 21 August 2016 through 26 August 2016
ER -