Development of daily downscaled, bias-corrected CMIP6 climate datasets for estimating reference evapotranspiration (ETo) in South Asia. [PDF]
Saha A +4 more
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Ensemble of CMIP6 derived reference and potential evapotranspiration with radiative and advective components. [PDF]
Bjarke N, Barsugli J, Livneh B.
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Assessing water requirements and suitability for apple growth at county scale in China: a phenological modeling approach during key growth stages. [PDF]
Ru X +6 more
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Crop evapotranspiration and water productivity in Loess Plateau: A case study of Shanxi province based on SEBAL model. [PDF]
Bai J, Wang J, Li P, Yao Z, Bi R.
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Comparison of Fourteen Reference Evapotranspiration Models With Lysimeter Measurements at a Site in the Humid Alpine Meadow, Northeastern Qinghai-Tibetan Plateau. [PDF]
Dai L +6 more
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Irrigation Scheduling for Maize under Different Hydrological Years in Heilongjiang Province, China. [PDF]
Nie T +10 more
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Comparative assessment of empirical and hybrid machine learning models for estimating daily reference evapotranspiration in sub-humid and semi-arid climates. [PDF]
Acharki S +9 more
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A Survey Towards Decision Support System on Smart Irrigation Scheduling Using Machine Learning approaches. [PDF]
Saggi MK, Jain S.
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Comparison of the performances of six empirical mass transfer-based reference evapotranspiration estimation models in semi-arid conditions. [PDF]
Usta S.
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Warming accelerates global drought severity. [PDF]
Gebrechorkos SH +10 more
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