50 citations as recorded by crossref.

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4. Yamula Barajı’nın Potansiyel Evapotranspirasyona Etkisi O. ARSLAN https://doi.org/10.31590/ejosat.araconf3
5. Changes of reference evapotranspiration in the Haihe River Basin: Present observations and future projection from climatic variables through multi-model ensemble W. Xing et al. https://doi.org/10.1016/j.gloplacha.2014.01.004
6. Olive Yield and Future Climate Forcings F. Viola et al. https://doi.org/10.1016/j.proenv.2013.06.015
7. Climate change effects on the hydrological regime of small non-perennial river basins D. Pumo et al. https://doi.org/10.1016/j.scitotenv.2015.10.109
8. Wet-bulb, dew point, and air temperature trends in Spain R. Moratiel et al. https://doi.org/10.1007/s00704-016-1891-x
9. Scaling precipitation extremes with temperature in the Mediterranean: past climate assessment and projection in anthropogenic scenarios P. Drobinski et al. https://doi.org/10.1007/s00382-016-3083-x
10. Understanding the exchange process between ground and surface water using mini drive point piezometer and mathematical models to identify suitable managed aquifer recharge sites S. Halder et al. https://doi.org/10.1007/s11356-023-28885-z
11. Spatio-temporal characteristics of wind observations over South Korea: 1982–2011 J. Kim & D. Kim https://doi.org/10.1007/s13143-013-0049-3
12. Evaluation of Near-Surface Wind Speed Changes during 1979 to 2011 over China Based on Five Reanalysis Datasets J. Yu et al. https://doi.org/10.3390/atmos10120804
13. Exploring temperature dynamics in Madhya Pradesh: a spatial-temporal analysis A. Kumar et al. https://doi.org/10.1007/s10661-023-11884-5
14. Climate Change Impacts on Mediterranean Grassland Productivity Along a Climatic Gradient in Central Spain: An Ecohydrological Modeling Approach A. Berzal Martínez et al. https://doi.org/10.3390/agronomy16141340
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16. Estimation of evapotranspiration by the Food and Agricultural Organization of the United Nations (FAO) Penman–Monteith temperature (PMT) and Hargreaves–Samani (HS) models under temporal and spatial criteria – a case study in Duero basin (Spain) R. Moratiel et al. https://doi.org/10.5194/nhess-20-859-2020
17. Impact of climatic trends on the water demand and irrigation planning for annual crops in the São Francisco River basin, Brazil N. Silva & A. Oliveira https://doi.org/10.1016/j.pce.2024.103779
18. The response of reference evapotranspiration to climate change in Xinjiang, China: Historical changes, driving forces, and future projections Q. Dong et al. https://doi.org/10.1002/joc.6206
19. Wind speed and temperature trends impacts on reference evapotranspiration in Southern Italy L. Liuzzo et al. https://doi.org/10.1007/s00704-014-1342-5
20. Decision support system for selecting the rootstock, irrigation regime and nitrogen fertilization in winemaking vineyards: WANUGRAPE4.0 F. Visconti et al. https://doi.org/10.1051/bioconf/20236801032
21. Reference evapotranspiration variability and trends in Spain, 1961–2011 S. Vicente-Serrano et al. https://doi.org/10.1016/j.gloplacha.2014.06.005
22. Temporal dynamics of evapotranspiration in semiarid native forests in Brazil and Spain using remote sensing J. Alcântara Costa et al. https://doi.org/10.1002/hyp.14070
23. Austral Summer and Winter Analysis of Upper Tropospheric Wind Speed Trends for Brazil from 1980 to 2022 J. Gilliland https://doi.org/10.3390/meteorology4030023
24. Impacts of Hydrological Changes on Annual Runoff Distribution in Seasonally Dry Basins F. Viola et al. https://doi.org/10.1007/s11269-019-02250-7
25. The Water Footprint of Agriculture in Duero River Basin Á. De Miguel et al. https://doi.org/10.3390/su7066759
26. Future Climate Forcings and Olive Yield in a Mediterranean Orchard F. Viola et al. https://doi.org/10.3390/w6061562
27. Spatio-temporal trends in monthly pan evaporation in Aguascalientes, Mexico O. Ruiz-Alvarez et al. https://doi.org/10.1007/s00704-018-2491-8
28. Reference evapotranspiration in the São Francisco River Basin: assessment of sensitivity of the Penman–Monteith equation variables A. de Oliveira & N. da Silva https://doi.org/10.1007/s00704-025-05526-8
29. Modelling crop water demand under climate change: the case of Sardinia region M. Aslam et al. https://doi.org/10.1007/s00271-025-01027-8
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31. Regional-Scale Modeling of Reference Evapotranspiration: Intercomparison of Two Simplified Temperature- and Radiation-Based Approaches A. Senatore et al. https://doi.org/10.1061/(ASCE)IR.1943-4774.0000917
32. Evaluation of extreme temperature events in northern Spain based on process control charts M. Villeta et al. https://doi.org/10.1007/s00704-017-2038-4
33. Irrigation water intensity and climate variability: an agricultural crops analysis of Italian regions S. Auci & D. Vignani https://doi.org/10.1007/s11356-020-12136-6
34. Projected hydrologic changes over the north of the Iberian Peninsula using a Euro-CORDEX multi-model ensemble P. Yeste et al. https://doi.org/10.1016/j.scitotenv.2021.146126
35. Climate change and Mediterranean agriculture: Impacts on winter wheat and tomato crop evapotranspiration, irrigation requirements and yield S. Saadi et al. https://doi.org/10.1016/j.agwat.2014.05.008
36. Co-evolution of hydrological components under climate change scenarios in the Mediterranean area F. Viola et al. https://doi.org/10.1016/j.scitotenv.2015.12.004
37. Adapting rice production to climate change for sustainable blue water consumption: an economic and virtual water analysis A. Darzi-Naftchali & F. Karandish https://doi.org/10.1007/s00704-017-2355-7
38. Future trend and sensitivity analysis of evapotranspiration in the Senegal River Basin P. Ndiaye et al. https://doi.org/10.1016/j.ejrh.2021.100820
39. Modelling Actual Evapotranspiration Seasonal Variability by Meteorological Data-Based Models M. Mobilia et al. https://doi.org/10.3390/hydrology7030050
40. Impacts of climate change on olive crop evapotranspiration and irrigation requirements in the Mediterranean region L. Tanasijevic et al. https://doi.org/10.1016/j.agwat.2014.05.019
41. Daily Reference Evapotranspiration for Hyper-Arid to Moist Sub-Humid Climates in Inner Mongolia, China: II. Trends of ETo and Weather Variables and Related Spatial Patterns X. Ren et al. https://doi.org/10.1007/s11269-016-1385-8
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43. Use of very high resolution climate model data for hydrological modelling: estimation of potential evaporation A. Rudd & A. Kay https://doi.org/10.2166/nh.2015.028
44. Variation in the estimations of ET<sub>o</sub> and crop water use due to the sensor accuracy of the meteorological variables R. Moratiel et al. https://doi.org/10.5194/nhess-13-1401-2013
45. Projection of actual evapotranspiration using the COSMO-CLM regional climate model under global warming scenarios of 1.5 °C and 2.0 °C in the Tarim River basin, China B. Su et al. https://doi.org/10.1016/j.atmosres.2017.06.015
46. Impacts of climate change and rising atmospheric CO2 on future projected reference evapotranspiration in Emilia-Romagna (Italy) G. Ben Hamouda et al. https://doi.org/10.1007/s00704-021-03745-3
47. Climate change and Ecotone boundaries: Insights from a cellular automata ecohydrology model in a Mediterranean catchment with topography controlled vegetation patterns D. Caracciolo et al. https://doi.org/10.1016/j.advwatres.2014.08.001
48. Bioclimatic drought trend study through the application of the ombroxeric index. A case study: the province of León (Spain) G. Ferreiro-Lera et al. https://doi.org/10.1080/17445647.2022.2101949
49. Effect of the Super Absorbent Polymer Stockosorb® on leaf turgor pressure, tree performance and oil quality of olive trees cv. Chemlali grown under field conditions in an arid region of Tunisia H. Chehab et al. https://doi.org/10.1016/j.agwat.2017.07.013
50. Predicting water balance of wheat and crop rotations with a simple model: AqYield H. Tribouillois et al. https://doi.org/10.1016/j.agrformet.2018.07.026