39 citations as recorded by crossref.

1. Spatiotemporal variations of forest ecohydrological characteristics in the Lancang-Mekong region during 1992-2016 and 2020-2099 under different climate scenarios A. Kayiranga et al. 10.1016/j.agrformet.2021.108662
2. Machine learning-based estimation of evapotranspiration under adaptation conditions: a case study in Heilongjiang Province, China G. Wang et al. 10.1007/s00484-024-02767-6
3. Comparison of the performances of six empirical mass transfer-based reference evapotranspiration estimation models in semi-arid conditions S. Usta 10.7717/peerj.18549
4. Estimasi Dampak Urban Heat Island terhadap Laju Evapotranspirasi: Studi Kasus di Kota Palembang A. Sugiarto et al. 10.29244/jsil.6.1.23-34
5. Characteristics of Winter Wheat Evapotranspiration in Eastern China and Comparative Evaluation of Applicability of Different Reference Evapotranspiration Models H. He et al. 10.1007/s42729-022-00795-y
6. Nonlinear control of climate, hydrology, and topography on streamflow response through the use of interpretable machine learning across the contiguous United States Y. Wu & N. Li 10.2166/wcc.2023.279
7. Assessment and modeling of maize evapotranspiration and yield with plastic and biodegradable film mulch N. Chen et al. 10.1016/j.agrformet.2021.108474
8. Joint multiscale dynamics in soil–vegetation–atmosphere systems: Multifractal cross‐correlation analysis of arid and semiarid rangelands E. Sanz et al. 10.1002/vzj2.20374
9. Methodology for Obtaining ETo Data for Climate Change Studies: Quality Analysis and Calibration of the Hargreaves–Samani Equation A. Ferreira et al. 10.3390/cli12120205
10. New machine learning approaches to improve reference evapotranspiration estimates using intra-daily temperature-based variables in a semi-arid region of Spain J. Bellido-Jiménez et al. 10.1016/j.agwat.2020.106558
11. Spatiotemporal patterns and driving factors of evapotranspiration (natural and artificial) in the Ziya River Basin, China W. Yan et al. 10.1016/j.ecohyd.2023.04.012
12. Estimation of Reference Evapotranspiration during the Irrigation Season Using Nine Temperature-Based Methods in a Hot-Summer Mediterranean Climate G. Rodrigues & R. Braga 10.3390/agriculture11020124
13. A web-based GIS platform supporting innovative irrigation management techniques at farm-scale for the Mediterranean island of Crete N. Kourgialas et al. 10.1016/j.scitotenv.2022.156918
14. Reference crop evapotranspiration for data-sparse regions using reanalysis products M. Nouri & M. Homaee 10.1016/j.agwat.2021.107319
15. Solar Fertigation: A Sustainable and Smart IoT-Based Irrigation and Fertilization System for Efficient Water and Nutrient Management U. Ahmad et al. 10.3390/agronomy12051012
16. New Generation Sustainable Technologies for Soilless Vegetable Production F. Fuentes-Peñailillo et al. 10.3390/horticulturae10010049
17. Control of climate and physiography on runoff response behavior through use of catchment classification and machine learning S. Du et al. 10.1016/j.scitotenv.2023.166422
18. Egypt's water future: AI predicts evapotranspiration shifts across climate zones A. Mokhtar et al. 10.1016/j.ejrh.2024.101968
19. Evaluation of FAO’s WaPOR product in estimating the reference evapotranspiration for stream flow modeling F. Geshnigani et al. 10.1007/s00704-021-03534-y
20. Estimation of evapotranspiration in Eucalyptus plantation and mixed forests based on air temperature and humidity G. Yang et al. 10.1016/j.foreco.2021.119862
21. What control the spatial patterns and predictions of runoff response over the contiguous USA? S. Jiang et al. 10.1007/s11442-024-2249-4
22. Mapping crop evapotranspiration with high-resolution imagery and meteorological data: insights into sustainable agriculture in Prince Edward Island F. Imtiaz et al. 10.3389/frsen.2023.1274019
23. Preface: Remote sensing, modelling-based hazard and risk assessment, and management of agro-forested ecosystems J. Rizzi et al. 10.5194/nhess-21-3873-2021
24. Comparative analysis of 12 reference evapotranspiration methods for semi-arid regions (Spain) J. Hernández-Bedolla et al. 10.2166/wcc.2023.448
25. Improved remote sensing reference evapotranspiration estimation using simple satellite data and machine learning D. Liu et al. 10.1016/j.scitotenv.2024.174480
26. Rice farmers at risk of water scarcity: analysis of the decisive factors in adaptation strategy acceptance M. Sharifzadeh et al. 10.1007/s10668-024-05040-3
27. Short-Term Forecasting of Daily Reference Crop Evapotranspiration Based on Calibrated Hargreaves–Samani Equation at Regional Scale S. Baber & K. Ullah 10.1007/s41748-024-00373-5
28. Estimating reference evapotranspiration for water-limited windy areas under data scarcity M. Nouri et al. 10.1007/s00704-022-04182-6
29. A Simple Procedure to Estimate Reference Evapotranspiration during the Irrigation Season in a Hot-Summer Mediterranean Climate G. Rodrigues & R. Braga 10.3390/su13010349
30. Optimal Selection of Empirical Reference Evapotranspiration Method in 36 Different Agricultural Zones of China Y. Yang et al. 10.3390/agronomy12010031
31. CSM-CERES-Wheat Sensitivity to Evapotranspiration Modeling Frameworks under a Range of Wind Speeds M. Nouri et al. 10.3390/w14193023
32. Parametric calibration of Hargreaves–Samani (HS) reference evapotranspiration equation with different coefficient combinations under the humid environment P. Pandey & V. Pandey 10.1016/j.hydres.2023.04.003
33. Record summers in Europe: Variations in drought and heavy precipitation during 1901–2018 S. Hänsel et al. 10.1002/joc.7587
34. Reference evapotranspiration projections in Southern Spain (until 2100) using temperature-based machine learning models J. Bellido-Jiménez et al. 10.1016/j.compag.2023.108327
35. Evapotranspiration estimation by inverse soil water flow modelling M. Angaleeswari et al. 10.1007/s00271-021-00734-2
36. Spatiotemporal variations in the elasticity of runoff to climate change and catchment characteristics with multi-timescales across the contiguous United States X. Gong et al. 10.2166/wcc.2022.242
37. Success in animal skin fashion in African countries or the boom of the wet market A. Mkhonza et al. 10.14202/vetworld.2022.1328-1332
38. Evaluation of prediction and forecasting models for evapotranspiration of agricultural lands in the Midwest U.S A. Talib et al. 10.1016/j.jhydrol.2021.126579
39. Assessing climate change impacts in the Cauvery Basin using evapotranspiration projections and its implications on water management A. J & A. E 10.1007/s00704-024-04998-4