Reference grass evapotranspiration with reduced data sets: Parameterization of the FAO Penman-Monteith temperature approach and the Hargeaves-Samani …
The computation of the grass reference evapotranspiration with the FAO56 Penman-
Monteith equation (PM-ET o) requires data on maximum and minimum air temperatures (T …
Monteith equation (PM-ET o) requires data on maximum and minimum air temperatures (T …
Modeling monthly reference evapotranspiration process in Turkey: application of machine learning methods
S Bayram, H Çıtakoğlu - Environmental Monitoring and Assessment, 2023 - Springer
In this study, the predictive power of three different machine learning (ML)-based
approaches, namely, multi-gene genetic programming (MGGP), M5 model trees (M5Tree) …
approaches, namely, multi-gene genetic programming (MGGP), M5 model trees (M5Tree) …
Calibration of Hargreaves model for reference evapotranspiration estimation in Sichuan basin of southwest China
Y Feng, Y Jia, N Cui, L Zhao, C Li, D Gong - Agricultural Water …, 2017 - Elsevier
Accurate estimation of reference evapotranspiration is vital to hydrological and ecological
processes. The FAO-56 Penman–Monteith (PM) model has the higher accuracy for ET 0 …
processes. The FAO-56 Penman–Monteith (PM) model has the higher accuracy for ET 0 …
General and regional cross-station assessment of machine learning models for estimating reference evapotranspiration
Y Zouzou, H Citakoglu - Acta Geophysica, 2023 - Springer
Significant research has been done on estimating reference evapotranspiration (ET 0) from
limited climatic measurements using machine learning (ML) to facilitate the acquirement of …
limited climatic measurements using machine learning (ML) to facilitate the acquirement of …
[HTML][HTML] Comparative analysis of kernel-based versus ANN and deep learning methods in monthly reference evapotranspiration estimation
Timely and accurate estimation of reference evapotranspiration (ET 0) is indispensable for
agricultural water management for efficient water use. This study aims to estimate the …
agricultural water management for efficient water use. This study aims to estimate the …
Evaluation of data-driven hybrid machine learning algorithms for modelling daily reference evapotranspiration
Reference evapotranspiration (ET0) is one of the crucial variables used for irrigation
scheduling, agricultural production, and water balance studies. This study compares six …
scheduling, agricultural production, and water balance studies. This study compares six …
Analysis of NASA POWER reanalysis products to predict temperature and precipitation in Euphrates River basin
HK Tayyeh, R Mohammed - Journal of Hydrology, 2023 - Elsevier
Receiving climate data from observed ground stations is typically difficult and expensive.
This study compares observed data from 9 dispersed weather stations across the Euphrates …
This study compares observed data from 9 dispersed weather stations across the Euphrates …
Support vector machine enhanced empirical reference evapotranspiration estimation with limited meteorological parameters
In regions where economies that are highly dependent on agricultural activities, estimation
of evapotranspiration is vital for scheduling and managing the water resources. In this study …
of evapotranspiration is vital for scheduling and managing the water resources. In this study …
Machine learning models for the estimation of monthly mean daily reference evapotranspiration based on cross-station and synthetic data
The estimation of reference evapotranspiration (ET0) is important in hydrology research,
irrigation scheduling design and water resources management. This study explored the …
irrigation scheduling design and water resources management. This study explored the …
Aridity and desertification in the Mediterranean under EURO-CORDEX future climate change scenarios
This study investigates future aridity changes in the Mediterranean under the RCP4. 5 and
RCP8. 5 IPCC future climate scenarios, using nine bias-corrected, high-resolution …
RCP8. 5 IPCC future climate scenarios, using nine bias-corrected, high-resolution …