Performance of Penman-Monteith FAO56 in a Semiarid
Highland Environment
Bogachan Benli
1
; Adriana Bruggeman
2
; Theib Oweis
3
; and Haluk Üstün
4
Abstract: Reliable estimates of evapotranspiration are essential for irrigation and water resources planning and management. Although
several methods are available for computing reference evapotranspiration ET
o
, the provision of complete and accurate climate data is
often a problem. Therefore, weighing lysimeter data from a semiarid highland environment were used to evaluate the performance of six
commonly used reference evapotranspiration estimation methods with different data requirements Penman-Monteith-FAO56, Priestley-
Taylor, Radiation-FAO24, Hargreaves, Blaney-Criddle, Class A pan. The lysimeter experiments were conducted at Ankara Research
Institute of Rural Services in Turkey, during the April–October cropping seasons of the years 2000–2002. The average ET
o
for the three
seasons, computed from the lysimeter data, was 964 mm. The Penman-Monteith-FAO56 method was also evaluated for cases where
relative humidity, wind speed, solar radiation, or all three parameters would be missing. This resulted in a total of 10 different methods.
The RMS errors RMSE and index of agreement for the daily data and the monthly averages as well as the mean absolute error MAE
for the seasonal totals were computed to compare these methods. The methods were ranked based on the sum of the ranks for all five
evaluation criteria. The Penman-Montheith-FAO56 method with the full data set, with replacement of wind speed, and with replacement
of relative humidity took the top three spots, with MAEs for the seasonal totals ranging between 40 and 70 mm. The Hargreaves method
came in fourth MAE 54 mm, followed by the Penman-Montheith-FAO56 method with replacement of all three parameters MAE 57
mm. The RMSE for the monthly average ET
o
was 0.43 and 0.50 mm·days
-1
for the Penman-Monteith-FAO56 without and with
replacement of all three parameters and 0.48 mm· days
-1
for Hargreaves. Thus, if only temperature data would be available, the much
easier to use Hargreaves method would be preferred above the Penman-Montheith-FAO56 equation with replacement of humidity,
radiation, and wind speed data, for this semiarid highland environment.
DOI: 10.1061/ASCEIR.1943-4774.0000249
CE Database subject headings: Lysimeters; Data processing; Arid lands; Evapotranspiration; Irrigation; Water resources.
Author keywords: Lysimeter; Hargreaves; Radiation-FAO24; Class A Pan-FAO24; Blaney-Criddle-FAO24; Priestley-Taylor; Missing
data.
Introduction
The estimation of reference evapotranspiration ET
o
from
weather data has many practical applications in crop and water
management. Irrigation planners rely on estimates of ET
o
, com-
puted from meteorological data, when no direct measurements
have been made with lysimeters or soil moisture monitoring de-
vices.
Numerous ET
o
equations have been developed and used by
irrigation researchers and practitioners according to availability of
historical and current weather data. One of the problems that have
stirred continuous debate is the best choice of ET
o
estimation
methods. The Food and Agricultural Organization of the United
Nations FAO Land and Water Development Division has ac-
tively pursued this issue during the last three decades. A revision
of the procedures for estimating reference evapotranspiration was
summarized in the FAO-24 report Doorenbos and Pruitt 1977.
The writers recommended four methods depending on data
availability—Penman, radiation, temperature, and pan evapora-
tion.
FAO established an expert consultation in 1990 to revise the
methods proposed in FAO-24. One of the main recommendations
by the expert consultation was to replace the FAO-24 Penman
method with the Penman-Monteith method. Penman-Monteith
gives more consistent ET
o
estimates and has been shown to per-
form better than other ET
o
methods when compared with lysim-
eter data in a range of environments Jensen et al. 1990; Chiew et
al. 1995. The Penman-Monteith method for estimating reference
evapotranspiration was published as FAO-56 by Allen et al.
1998. This method will here be referred to as PM-FAO56.
Evaluation of evapotranspiration equations is generally done
with lysimeters, with weighing lysimeters providing the most
exact means of continuously measuring the evapotranspiration
throughout the cropping period Wright 1991. In an analysis of
lysimeter data from eight Mediterranean locations, Steduto et al.
1996 found that PM-FAO56 underestimated lysimeter evapo-
transpiration at high rates. These writers indicated that the use of
day-time wind speed, humidity, and canopy resistance, as op-
1
Project Manager, United Nations Development Programme UNDP,
2. Cad. No: 11, Cankaya 06610, Ankara, Turkey corresponding author.
2
Research Scientist, Energy, Environment, and Water Research Cen-
ter, The Cyprus Institute, P.O. Box 27456, 1645 Nicosia, Cyprus.
3
Director, International Center for Agricultural Research in the Dry
Areas ICARDA, P.B. 5466, Aleppo, Syria.
4
Director, International Agricultural Training Center, Istanbul, Yolu 3.
Km. No: 36, Yenimahalle, Ankara, Turkey.
Note. This manuscript was submitted on July 14, 2009; approved on
April 9, 2010; published online on April 13, 2010. Discussion period
open until April 1, 2011; separate discussions must be submitted for
individual papers. This paper is part of the Journal of Irrigation and
Drainage Engineering, Vol. 136, No. 11, November 1, 2010. ©ASCE,
ISSN 0733-9437/2010/11-757–765/$25.00.
JOURNAL OF IRRIGATION AND DRAINAGE ENGINEERING © ASCE / NOVEMBER 2010 / 757
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