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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
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Swap version 3.2 : theory description and user manual
TL;DR: This manual describes the theoretical background, model use, input requirements and output tables of SWAP 3.2, a program designed to simulate transport of water, solutes and heat in the vadose zone.
Journal ArticleDOI
Temporal Trends in Estimates of Reference Evapotranspiration over India
A. Bandyopadhyay,A. Bandyopadhyay,A. Bhadra,A. Bhadra,Narendra Singh Raghuwanshi,Narendra Singh Raghuwanshi,Rajendra Singh,Rajendra Singh +7 more
TL;DR: In this article, the authors studied the temporal trend of ETo along with its regionwise spatial variation, 32 years (1971-2002) monthly meteorological data were collected for 133 selected stations evenly distributed over different agro-ecological regions (AERs) of India.
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Machine learning algorithms for modeling groundwater level changes in agricultural regions of the U.S.
TL;DR: In this article, the authors developed a new ensemble modeling framework based on spectral analysis, machine learning, and uncertainty analysis to better understand the relative importance of each driver and predict groundwater level change, as an alternative to complex and computationally expensive physical models.
Journal ArticleDOI
Empirical validation of the InVEST water yield ecosystem service model at a national scale
John W. Redhead,Charlie Stratford,Katrina Sharps,Laurence Jones,Guy Ziv,Derek Clarke,Tom H. Oliver,James M. Bullock +7 more
TL;DR: This paper validate a hydrological ecosystem service model (InVEST Water Yield Model) using widely available data and suggests that relatively simple models can give accurate measures of ecosystem services.
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Seasonal Climate Variability and Change in the Pacific Northwest of the United States
TL;DR: In this paper, a bootstrapped multiple linear regression model was used to better resolve the temporal heterogeneity of seasonal temperature and precipitation trends and to apportion trends to internal climate variability, solar variability, volcanic aerosols, and anthropogenic forcing.
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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