@article{fdi:010073630,
  title = {{R}etrieving air humidity, global solar radiation, and reference evapotranspiration from daily temperatures : development and validation of new methods for {M}exico. {P}art {III} : reference evapotranspiration},
  author = {{L}obit, {P}. and {T}agle, {A}. {G}. and {B}autista, {F}. and {L}homme, {J}ean-{P}aul},
  editor = {},
  language = {{ENG}},
  abstract = {{W}e evaluated two methods to estimate evapotranspiration ({ET}o) from minimal weather records (daily maximum and minimum temperatures) in {M}exico: a modified reduced set {FAO}-{P}enman-{M}onteith method ({A}llen et al. 1998, {R}ome, {I}taly) and the {H}argreaves and {S}amani ({A}ppl {E}ng {A}gric 1(2): 96-99, 1985) method. {I}n the reduced set method, the {FAO}-{P}enman-{M}onteith equation was applied with vapor pressure and radiation estimated from temperature data using two new models (see first and second articles in this series): mean temperature as the average of maximum and minimum temperature corrected for a constant bias and constant wind speed. {T}he {H}argreaves-{S}amani method combines two empirical relationships: one between diurnal temperature range {D}elta {T} and short-wave radiation {R}s, and another one between average temperature and the ratio {ET}o/{R}s: both relationships were evaluated and calibrated for {M}exico. {A}fter performing a sensitivity analysis to evaluate the impact of different approximations on the estimation of {R}s and {ET}o, several model combinations were tested to predict {ET}o from daily maximum and minimum temperature alone. {T}he quality of fit of these models was evaluated on 786 weather stations covering most of the territory of {M}exico. {T}he best method was found to be a combination of the {FAO}-{P}enman-{M}onteith reduced set equation with the new radiation estimation and vapor pressure model. {A}s an alternative, a recalibration of the {H}argreaves-{S}amani equation is proposed.},
  keywords = {{MEXIQUE}},
  booktitle = {},
  journal = {{T}heoretical and {A}pplied {C}limatology},
  volume = {133},
  numero = {3-4},
  pages = {787--797},
  ISSN = {0177-798{X}},
  year = {2018},
  DOI = {10.1007/s00704-017-2213-7},
  URL = {https://www.documentation.ird.fr/hor/fdi:010073630},
}