Database of surface water diversion sites and daily withdrawals for the Upper Colorado River Basin, 1980-2022. [PDF]
Lopez SF +6 more
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Machine learning approaches for enhanced estimation of reference evapotranspiration (ETo): a comparative evaluation. [PDF]
Farag AA.
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Bayesian-optimized machine learning boosts actual evapotranspiration prediction in water-stressed agricultural regions of China. [PDF]
Elbeltagi A +8 more
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Stochastic process-based drought monitoring and assessment system: A temporal switched weights approach for accurate and precise drought determination. [PDF]
Khan MA +5 more
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Assessment of Evapotranspiration and Soil Moisture Content Across Different Scales of Observation. [PDF]
Verstraeten WW, Veroustraete F, Feyen J.
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An analysis and simplification of the Blaney-Criddle method for estimating evapotranspiration /
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Consequences of rapid ice sheet melting on the Sahelian population vulnerability. [PDF]
Defrance D +10 more
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Sustainability assessment of agricultural rainwater harvesting: Evaluation of alternative crop types and irrigation practices. [PDF]
Ghimire SR, Johnston JM.
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Water Productivity Mapping (WPM) Using Landsat ETM+ Data for the Irrigated Croplands of the Syrdarya River Basin in Central Asia. [PDF]
Platonov A +13 more
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Reference evapotranspiration (ETo), which is used as basic data in studies conducted to ensure the proper management of existing water resources worldwide and to prioritise their future use, can be estimated with high accuracy using the standard Penman & Monteith (PM) method FAO-56 modification.
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