Assessing the performance of several rainfall interpolation methods as evaluated by a conceptual hydrological model
Artículo
| Autores Principales: | Méndez-Morales, Maikel, Calvo-Valverde, Luis Alexander |
|---|---|
| Formato: | Artículo |
| Idioma: | Inglés |
| Publicado: |
Scopus
2018
|
| Materias: | |
| Acceso en línea: |
https://www.scopus.com/record/display.uri?eid=2-s2.0-84997795554&doi=10.1016%2fj.proeng.2016.07.595&origin=inward&txGid=d4035bb978ce1f3e36a7bf9ae33405b7 https://hdl.handle.net/2238/9665 |
| id |
RepoTEC9665 |
|---|---|
| recordtype |
dspace |
| spelling |
RepoTEC96652022-04-09T03:05:23Z Assessing the performance of several rainfall interpolation methods as evaluated by a conceptual hydrological model Méndez-Morales, Maikel Calvo-Valverde, Luis Alexander HBV-TEC PEST Lluvia Métodos Research Subject Categories::FORESTRY, AGRICULTURAL SCIENCES and LANDSCAPE PLANNING Artículo 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. 2018-03-21T18:31:15Z 2018-03-21T18:31:15Z 2016 info:eu-repo/semantics/article https://www.scopus.com/record/display.uri?eid=2-s2.0-84997795554&doi=10.1016%2fj.proeng.2016.07.595&origin=inward&txGid=d4035bb978ce1f3e36a7bf9ae33405b7 Mendez, M., & Calvo-Valverde, L. (2016). Assessing the performance of several rainfall interpolation methods as evaluated by a conceptual hydrological model. Procedia Engineering, 154, 1050-1057 https://hdl.handle.net/2238/9665 eng 10.1016/j.proeng.2016.07.595 Attribution-NonCommercial-ShareAlike 4.0 International https://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Scopus 12th International Conference on Hydroinformatics, HIC 2016 |
| institution |
Tecnológico de Costa Rica |
| collection |
Repositorio TEC |
| language |
Inglés |
| topic |
HBV-TEC PEST Lluvia Métodos Research Subject Categories::FORESTRY, AGRICULTURAL SCIENCES and LANDSCAPE PLANNING |
| spellingShingle |
HBV-TEC PEST Lluvia Métodos Research Subject Categories::FORESTRY, AGRICULTURAL SCIENCES and LANDSCAPE PLANNING Méndez-Morales, Maikel Calvo-Valverde, Luis Alexander Assessing the performance of several rainfall interpolation methods as evaluated by a conceptual hydrological model |
| description |
Artículo |
| format |
Artículo |
| author |
Méndez-Morales, Maikel Calvo-Valverde, Luis Alexander |
| author_sort |
Méndez-Morales, Maikel |
| title |
Assessing the performance of several rainfall interpolation methods as evaluated by a conceptual hydrological model |
| title_short |
Assessing the performance of several rainfall interpolation methods as evaluated by a conceptual hydrological model |
| title_full |
Assessing the performance of several rainfall interpolation methods as evaluated by a conceptual hydrological model |
| title_fullStr |
Assessing the performance of several rainfall interpolation methods as evaluated by a conceptual hydrological model |
| title_full_unstemmed |
Assessing the performance of several rainfall interpolation methods as evaluated by a conceptual hydrological model |
| title_sort |
assessing the performance of several rainfall interpolation methods as evaluated by a conceptual hydrological model |
| publisher |
Scopus |
| publishDate |
2018 |
| url |
https://www.scopus.com/record/display.uri?eid=2-s2.0-84997795554&doi=10.1016%2fj.proeng.2016.07.595&origin=inward&txGid=d4035bb978ce1f3e36a7bf9ae33405b7 https://hdl.handle.net/2238/9665 |
| _version_ |
1796138701410009088 |
| score |
12.041648 |