Trend analysis of dam inflow data using the trend accuracy index and the potential-evapotranspiration correction factor. [PDF]
Wang WJ, Kim HS.
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The qualitative and quantitative relationship between the spatiotemporal variations of potential evapotranspiration and meteorological variables in the Hexi corridor, Northwest China. [PDF]
Ma Y, Niu Z, Wang X, Sun D.
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A 0.1° monthly potential evapotranspiration dataset based on the optimal models over global vegetation zones. [PDF]
Bi Z +9 more
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Revisiting the contribution of different factors in determining the changes in potential evapotranspiration over China. [PDF]
Shen Y, Wang Q, Feng Z, Li W.
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CMIP6-based global estimates of future aridity index and potential evapotranspiration for 2021-2060. [PDF]
Zomer RJ, Xu J, Spano D, Trabucco A.
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Study of Potential Evapotranspiration (IV)
openaire +1 more source
Comparative assessment of deep belief network and hybrid adaptive neuro-fuzzy inference system model based on a meta-heuristic optimization algorithm for precise predictions of the potential evapotranspiration. [PDF]
Akiner ME, Ghasri M.
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Climatic Suitability from MaxEnt Models Reflects Growth Performance in European Forest Trees. [PDF]
Hernández-Lambraño RE +1 more
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Fern Gametophytes Exhibit Distinct Patterns of Niche Expansion and Convergence in Ecophysiological Functioning. [PDF]
Krieg CP +4 more
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