## Abstract The complexity of the evapotranspiration process and its variability in time and space have imposed some limitations on previously developed evapotranspiration models. In this study, two dataβdriven models: genetic programming (GP) and artificial neural networks (ANNs), and statistical
Practical prediction of actual evapotranspiration
β Scribed by P. J. Slabbers
- Book ID
- 118287384
- Publisher
- Springer
- Year
- 1980
- Tongue
- English
- Weight
- 563 KB
- Volume
- 1
- Category
- Article
- ISSN
- 0342-7188
No coin nor oath required. For personal study only.
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Monthly actual evapotranspiration (AET) for four humid catchments in Kenya, East Africa was evaluated using the Morton and Grindley models. The area of each catchment was less then 100 km 2 and all catchments lie around the equator. Three of the catchments are chieΒ―y vegetated with pasture, annual a
## Abstract In this study, we quantified the localβscale uncertainty of the actual evapotranspiration estimated from a water balance approach combining two soilβwaterβcontent measurement techniques (timeβdomain reflectometry and neutron probe sounding). The localβscale uncertainty was quantified fo