A review of global terrestrial evapotranspiration: Observation, modeling, climatology, and climatic variability

K Wang, RE Dickinson - Reviews of Geophysics, 2012 - Wiley Online Library
This review surveys the basic theories, observational methods, satellite algorithms, and land
surface models for terrestrial evapotranspiration, E (or λE, ie, latent heat flux), including a …

A review of the Artificial Intelligence (AI) based techniques for estimating reference evapotranspiration: Current trends and future perspectives

P Goyal, S Kumar, R Sharda - Computers and Electronics in Agriculture, 2023 - Elsevier
Reference Evapotranspiration (ET o) is a complex, dynamic and non-linear hydrological
process. Accurate estimation of ET o has long been an eminent topic of interest in the …

An integrated statistical-machine learning approach for runoff prediction

AK Singh, P Kumar, R Ali, N Al-Ansari… - Sustainability, 2022 - mdpi.com
Nowadays, great attention has been attributed to the study of runoff and its fluctuation over
space and time. There is a crucial need for a good soil and water management system to …

Evaluation of random forests and generalized regression neural networks for daily reference evapotranspiration modelling

Y Feng, N Cui, D Gong, Q Zhang, L Zhao - Agricultural Water Management, 2017 - Elsevier
Accurate estimation of reference evapotranspiration (ET 0) is of importance for regional
water resource management. The present study proposed two artificial intelligence models …

Modeling reference evapotranspiration using extreme learning machine and generalized regression neural network only with temperature data

Y Feng, Y Peng, N Cui, D Gong, K Zhang - Computers and Electronics in …, 2017 - Elsevier
Accurate estimation of reference evapotranspiration (ET 0) is essential to agricultural water
management. The present study developed two artificial intelligence models for daily ET 0 …

CatBoost: A new approach for estimating daily reference crop evapotranspiration in arid and semi-arid regions of Northern China

Y Zhang, Z Zhao, J Zheng - Journal of Hydrology, 2020 - Elsevier
Establishing a computational model for accurate prediction of reference crop
evapotranspiration (ET 0) is critical for regional water resources planning and irrigation …

Modeling of daily pan evaporation in sub tropical climates using ANN, LS-SVR, Fuzzy Logic, and ANFIS

MK Goyal, B Bharti, J Quilty, J Adamowski… - Expert systems with …, 2014 - Elsevier
This paper investigates the abilities of Artificial Neural Networks (ANN), Least Squares–
Support Vector Regression (LS-SVR), Fuzzy Logic, and Adaptive Neuro-Fuzzy Inference …

Pan evaporation modeling using least square support vector machine, multivariate adaptive regression splines and M5 model tree

O Kisi - Journal of Hydrology, 2015 - Elsevier
Pan evaporation (Ep) modeling is an important issue in reservoir management, regional
water resources planning and evaluation of drinking-water supplies. The main purpose of …

Modeling monthly pan evaporation using wavelet support vector regression and wavelet artificial neural networks in arid and humid climates

SN Qasem, S Samadianfard, S Kheshtgar… - Engineering …, 2019 - Taylor & Francis
Evaporation rate is one of the key parameters in determining the ecological conditions and it
has an irrefutable role in the proper management of water resources. In this paper, the …

Extreme learning machines: a new approach for prediction of reference evapotranspiration

SS Abdullah, MA Malek, NS Abdullah, O Kisi… - Journal of Hydrology, 2015 - Elsevier
Recognizing the importance of precise determination of reference evapotranspiration (ET 0)
is a principal step in the attempts to reserve huge quantities of squandered water. This paper …