Abstract
Multivariate regression models of average monthly reference crop evapotranspiration, E t( τ), and potential evaporation, E p( τ), are developed for the northeast USA. Average monthly values of daily E t and E p are estimated from the Penman-Monteith equation using monthly climate data from 34 National Oceanic and Atmospheric Administration (NOAA) First Order weather observatories and specific reference vegetation characteristics. The periodic seasonal behavior of E t( τ) and E t( τ) and average monthly temperature are approximated by Fourier series functions. Regional regression relationships are then developed which relate the E t( τ) and E t( τ) Fourier series coefficients with the average monthly temperature Fourier coefficients, station longitude and station elevation. The regional E t( τ) model is shown to be an improvement over the Linacre method (Linacre, 1977, Agric. Meteorol., 18: 409–424) and the Hargreaves and Samani method (Hargreaves and Samani, 1985, Appl. Eng. Agric., 1(2): 96–99), and the regional E p( τ) model is shown to be an improvement over the Linacre method.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
