Back to Search
Start Over
Evaluating the generalizability of GEP models for estimating reference evapotranspiration in distant humid and arid locations.
- Source :
- Theoretical & Applied Climatology; Oct2017, Vol. 130 Issue 1-2, p377-389, 13p, 2 Diagrams, 8 Charts, 2 Graphs, 1 Map
- Publication Year :
- 2017
-
Abstract
- Evapotranspiration estimation is of crucial importance in arid and hyper-arid regions, which suffer from water shortage, increasing dryness and heat. A modeling study is reported here to cross-station assessment between hyper-arid and humid conditions. The derived equations estimate ET values based on temperature-, radiation-, and mass transfer-based configurations. Using data from two meteorological stations in a hyper-arid region of Iran and two meteorological stations in a humid region of Spain, different local and cross-station approaches are applied for developing and validating the derived equations. The comparison of the gene expression programming (GEP)-based-derived equations with corresponding empirical-semi empirical ET estimation equations reveals the superiority of new formulas in comparison with the corresponding empirical equations. Therefore, the derived models can be successfully applied in these hyper-arid and humid regions as well as similar climatic contexts especially in data-lack situations. The results also show that when relying on proper input configurations, cross-station might be a promising alternative for locally trained models for the stations with data scarcity. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 0177798X
- Volume :
- 130
- Issue :
- 1-2
- Database :
- Complementary Index
- Journal :
- Theoretical & Applied Climatology
- Publication Type :
- Academic Journal
- Accession number :
- 125188050
- Full Text :
- https://doi.org/10.1007/s00704-016-1888-5