A sensitivity and error analysis for the penman evapotranspiration model

Rim, Chang-Soo

doi:10.1007/bf02829125

Cited by 6 publications

(5 citation statements)

References 3 publications

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“…It can be stated that the effect of wind speed on ETO is less compared to the other climatic factors. This is in line with Rim, (2004) who noted that wind speed was the least sensitive meteorological factor that affects ETO. The monthly variation of ETO in Uyo as detected from Fig.…”

Section: The Variations Of Eto With Climatic Parameters In Asabasupporting

confidence: 91%

Comparative Study of Evapotranspiration Variation and its Relationship with other Climatic Parameters in Asaba and Uyo

2018

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This study was carried out to assess the variations of Reference Evapotranspiration (ETO also denoted with RET) calculated using FAO-56 Penman Monteith model of two locations Asaba and Uyo and evaluate its relationships with the variations of other climatic parameters. Meteorological data of forty one years (1975-2015) and thirty five years (1981-2015) period for Asaba and Uyo, respectively gotten from Nigeria Meteorological Agency, Abuja were used. It was observed that the variations of Evapotranspiration (ET) in both locations were in line with two seasons (rainy and dry) normally experienced in Nigeria having its highest value in March (4.8 mm/day) for Asaba and for Uyo in February (4.5 mm/day); and its lowest value in August (3.1 mm/day) for Asaba and in July (2.9 mm/day) for Uyo. ET variation when compared with other climatic variables in both locations was observed to have the same trend with maximum temperature, solar radiation and sunshine hours. It also has the same variation with minimum temperature though with slight deviation. It was observed that ET variation is inversely proportional to the variation relative humidity. Wind speed displayed relatively small variation in its trend over the study period and is not in line with the variations of ET.Keywords— Evapotranspiration, Climatic Variables, FAO Penman-Monteith Model, Variations

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Section: The Variations Of Eto With Climatic Parameters In Asabasupporting

confidence: 91%

Comparative Study of Evapotranspiration Variation and its Relationship with other Climatic Parameters in Asaba and Uyo

2018

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“…Similar results have also been found in some regions of China, in which wind speed, air temperature, and vapor pressure deficit are the major sensitive factors for ET 0 change in such areas as the Loess Plateau Region [22], the Liaohe delta [23], the Tibet Plateau [24], the Changjiang River Basin [19], and the Haihe River Basin [25]. Some studies proposed a close agreement between changes in ET 0 and solar energy in Greece [26], Korea [27], and the Yellow River Basin [28]. Sensitivity analysis could only describe the responses of ET 0 to changes in individual factor.…”

Section: Introductionmentioning

confidence: 82%

“…For multifactor models (e.g., the FAO P-M), due to different dimensions and ranges of different factors, the ratios of ET 0 changes and factors changes cannot be compared. In addition, this approach could introduce errors to understand the response of model behaviors to the factors because of changing one of the factors but holding other factors stationary [27]. To avoid the above two disadvantages, the dimensionless sensitivity coefficient defined by the dimensionless partial derivative with respect to the independent factors is used in this study:…”

Section: Trend Analysismentioning

confidence: 99%

Reference Evapotranspiration Changes: Sensitivities to and Contributions of Meteorological Factors in the Heihe River Basin of Northwestern China (1961–2014)

Wang

et al. 2016

Advances in Meteorology

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This paper investigates reference evapotranspiration(ET0)changes, sensitivities to and contributions of meteorological factors in the Heihe River Basin (arid and inland region). Results show that annualET0over the whole basin has increasing trend (2.01 mm·10 yr−2) and there are significant increasing spatial variations from the upper (753 mm yr−1) to the lower (1553 mm yr−1) regions. Sensitivity analysis indicates that relative humidity is the most sensitive factor for seasonal and annualET0change, and the influence is negative. The sensitivity of minimum temperature is the weakest and negative. Contribution analysis shows that the main contributors toET0changes are aerodynamic factors rather than radiative factors. This study could be helpful to understand the response of ecoenvironment to the meteorological factors changes in the Heihe River Basin.

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“…Decrease in solar radiation was strongly related to the decreased trend in ET [37,38,41,42,43,44]. This is because for evapotranspiration to take place, energy is required to change the state of the molecules of water from liquid to vapour.…”

Section: Evapotranspiration (Et)mentioning

confidence: 99%

Temporal Variation of Reference Evapotranspiration in Lower River Kaduna Catchment Area, Nigeria

Abdussalam

Zaharaddeen

2017

ACRI

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Lower River Kaduna catchment area is located in north part of Nigeria where climate variability is pronounce such as high rainfall which result to drought, ground water scarcity and high surface water to evaporation. As such it is importance to investigate the temporal variation evapotranspiration of this area. Because it determined the atmospheric water demand in the catchment. Meteorological data were collected from Nigeria Meteorological Agency which include mean temperature and solar radiation for the period of 21 years (1994-2014). Makkink method of estimating evapotranspiration was used. Trend analysis, normality test and coefficient of variance were carried out respectively. The result revealed that the evapotranspiration has mean value of 4.22 mm day-1 , solar radiation has mean value of 21.48 MJ m −2 day −1 and temperature has mean value of 32.07°C. Both variables show a moderate variability in the catchment. Evapotranspiration and solar radiation show a negative annual trend while the temperature reveals positive annual trend. April to October has decrease of solar radiation, temperature and evapotranspiration while the remaining month has an increase trend. Seasonal trend shows that MAM and JJA have a decrease while SON and DJF have an increase in solar radiation and evapotranspiration. Seasonal trend of temperature show that MAM, JJA and SON has a decrease while DJF has an increase.

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A sensitivity and error analysis for the penman evapotranspiration model

Cited by 6 publications

References 3 publications

Comparative Study of Evapotranspiration Variation and its Relationship with other Climatic Parameters in Asaba and Uyo

Comparative Study of Evapotranspiration Variation and its Relationship with other Climatic Parameters in Asaba and Uyo

Reference Evapotranspiration Changes: Sensitivities to and Contributions of Meteorological Factors in the Heihe River Basin of Northwestern China (1961–2014)

Temporal Variation of Reference Evapotranspiration in Lower River Kaduna Catchment Area, Nigeria

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