Evaluation and validation of the ASCE standardized reference evapotranspiration equations for a subhumid site in northeastern Austria
| Autor: | Marek Rodný, Reinhard Nolz |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Fluid Flow and Transfer Processes
Hydrology 010504 meteorology & atmospheric sciences Mechanical Engineering sum-of-hourly 04 agricultural and veterinary sciences Hydraulic engineering 01 natural sciences daily time steps Evapotranspiration weighing lysimeter 040103 agronomy & agriculture calculations 0401 agriculture forestry and fisheries Environmental science hourly TC1-978 0105 earth and related environmental sciences Water Science and Technology |
| Zdroj: | Journal of Hydrology and Hydromechanics, Vol 67, Iss 3, Pp 289-296 (2019) |
| Popis: | Employing evapotranspiration models is a widely used method to estimate reference evapotranspiration (ETREF) based on weather data. Evaluating such models considering site-specific boundary conditions is recommended to interpret ETREF-calculations in a realistic and substantiated manner. Therefore, we evaluated the ASCE standardized ETREF-equations at a subhumid site in northeastern Austria. We calculated ETREF-values for hourly and daily time steps, whereof the former were processed to sum-of-hourly values. The obtained data were compared to each other and to ET-values measured by a weighing lysimeter under reference conditions. The resulting datasets covered daily data of the years 2004 to 2011. Sum-of-hourly values correlated well (r2 = 0.978) with daily values, but an RMSE of 0.27 mm specified the differences between the calculation procedures. Comparing the calculations to lysimeter measurements revealed overestimation of small ETREF-values and underestimation of large values. The sum-of-hourly values outperformed the daily values, as r2 of the former was slightly larger and RMSE was slightly smaller. Hence, sum-of-hourly computations delivered the best estimation of ETREF for a single day. Seasonal effects were obvious, with computations and measurements being closest to each other in the summer months. |
| Databáze: | OpenAIRE |
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