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Crop evapotranspiration : guidelines for computing crop water requirements
Richard G. Allen,Luis S. Pereira,Dirk Raes,Martin Smith +3 more
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In this paper, an updated procedure for calculating reference and crop evapotranspiration from meteorological data and crop coefficients is presented, based on the FAO Penman-Monteith method.Abstract:
(First edition: 1998, this reprint: 2004). This publication presents an updated procedure for calculating reference and crop evapotranspiration from meteorological data and crop coefficients. The procedure, first presented in FAO Irrigation and Drainage Paper No. 24, Crop water requirements, in 1977, allows estimation of the amount of water used by a crop, taking into account the effect of the climate and the crop characteristics. The publication incorporates advances in research and more accurate procedures for determining crop water use as recommended by a panel of high-level experts organised by FAO in May 1990. The first part of the guidelines includes procedures for determining reference crop evapotranspiration according to the FAO Penman-Monteith method. These are followed by updated procedures for estimating the evapotranspiration of different crops for different growth stages and ecological conditions.read more
Citations
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Predicting the soil moisture conditions of Irish grasslands
TL;DR: In this paper, a simple hybrid model for computing soil moisture deficit (SMD) is presented, which accounts for differences in drainage regimes between soil types, and is calibrated for contrasting soil types in Ireland.
Journal ArticleDOI
From GCM grid cell to agricultural plot: scale issues affecting modelling of climate impact
Christian Baron,Benjamin Sultan,Maud Balme,Benoît Sarr,Seydou B. Traoré,Thierry Lebel,Serge Janicot,Michaël Dingkuhn +7 more
TL;DR: This study analyses the bias introduced to crop simulation when climatic data is aggregated spatially or in time, resulting in loss of relevant variation, and concludes that coupling of GCM outputs with plot level crop models can cause large systematic errors due to scale incompatibility.
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An intercomparison of three remote sensing-based surface energy balance algorithms over a corn and soybean production region (Iowa, U.S.) during SMACEX
Minha Choi,William P. Kustas,Martha C. Anderson,Richard G. Allen,Fuqin Li,Jeppe H. Kjaersgaard +5 more
TL;DR: In this article, the authors compared three different remote sensing-based surface energy balance models: the Two-Source Energy Balance (TSEB), Mapping EvapoTranspiration at high resolution using Internalized Calibration (METRIC), and the Trapezoid Interpolation Model (TIM).
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A novel method to estimate model uncertainty using machine learning techniques
TL;DR: It can be concluded that the novel method for model uncertainty estimation using machine learning techniques and its application in rainfall runoff modeling generates consistent, interpretable and improved model uncertainty estimates.
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A wind-based qualitative calibration of the Hargreaves ET0 estimation equation in semiarid regions
TL;DR: In this paper, the Hargreaves (HARG) equation was compared with the FAO Penman-Monteith equation for estimation of monthly ET 0 under the semiarid conditions of the middle Ebro River Valley (NE Spain).
References
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Journal ArticleDOI
Natural evaporation from open water, bare soil and grass
TL;DR: It is shown that a satisfactory account can be given of open water evaporation at four widely spaced sites in America and Europe, the results for bare soil receive a reasonable check in India, and application of theresults for turf shows good agreement with estimates of evapolation from catchment areas in the British Isles.
Journal ArticleDOI
On the Assessment of Surface Heat Flux and Evaporation Using Large-Scale Parameters
C. H. B. Priestley,R. J. Taylor +1 more
TL;DR: In this article, the large-scale parameterization of the surface fluxes of sensible and latent heat is properly expressed in terms of energetic considerations over land while formulas of the bulk aerodynamic type are most suitahle over the sea.
Book
Water quality for agriculture
R. S. Ayers,D. W. Westcot +1 more
TL;DR: Water quality for agriculture, water quality in agriculture for agriculture as mentioned in this paper, water quality of agriculture, Water quality of water for agriculture in agriculture, مرکز فناوری اطلاعات و اسلاز رسانی
Journal ArticleDOI
The Interpretation of the Variations in Leaf Water Potential and Stomatal Conductance Found in Canopies in the Field
TL;DR: In this paper, the stomatal conductance of illuminated leaves is a function of current levels of temperature, vapour pressure deficit, leaf water potential (really turgor pressure) and ambient CO $_2$ concentration and when plotted against any one of these variables a scatter diagram results.
Book ChapterDOI
Yield response to water
TL;DR: In this paper, a methodology to quantify yield response to water through aggregate components which form the "handles" to assess crop yields under both adequate and limited water supply is presented, which takes into account maximum and actual crop yields as influenced by water deficits using yield response functions relating relative yield decrease and evapotranspiration deficits.
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On the Assessment of Surface Heat Flux and Evaporation Using Large-Scale Parameters
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